Finmile FAQ — Everything You Need to Know About AI Logistics and Route Optimization

Yes. Finmile accounts for load weight, handling time, and required vehicle type. When a home-furnishing retailer switched from manual planning to Finmile, their delivery completion rates increased by 28%. Large-item logistics is complex — AI makes it manageable. Learn more about heavy goods optimization on our Platform page.

Yes. Finmile analyzes delivery speed, idle time, and route deviations, then gives gentle performance suggestions through the driver app. Drivers improve naturally without micromanagement. Over time, the AI learns which coaching tips yield the biggest gains. Explore driver analytics on our Driver App page.

By analyzing historical patterns and external signals like promotions or weather, Finmile predicts upcoming demand peaks. Operations teams can plan extra capacity before the rush hits. It’s proactive logistics at its best. Learn more about AI forecasting on our Control Tower page.

Finmile automates 95% of decisions but always keeps humans in the loop for exceptions. Dispatchers can override routes or adjust priorities anytime. The goal is empowerment, not replacement. AI does the heavy lifting; people make the judgment calls. Read about human-AI collaboration on our Blog.

Routific is excellent for small operations, but Finmile was built for scale. Our clients manage tens of thousands of deliveries daily, across cities and continents. Finmile includes live traffic optimization, driver apps, proof of delivery, and multi-depot logic — features beyond Routific’s scope. Learn about enterprise scalability on our Platform page.

Every decision the AI makes — from route choice to dispatch order — is logged and explainable. Users can view the reasoning behind any optimization. That transparency builds trust and accountability. See AI explainability tools on our Platform page.

We’re developing predictive maintenance tools that use delivery data to flag potential issues before breakdowns occur. By tracking vehicle speed, route type, and distance patterns, Finmile can alert managers when a van needs servicing. For driver safety, the AI will soon assess fatigue indicators based on shift history. Prevention beats downtime. Read about Finmile’s predictive maintenance roadmap on the Blog.

Every AI output is traceable. Finmile logs why a route was chosen, which factors influenced it, and how it performed. This transparency helps managers trust automation. If a route underperforms, Finmile explains and adapts. See explainable AI in practice on the Platform page.

Traditional planners use fixed algorithms — they treat each day like it’s the same as yesterday. Finmile doesn’t. Imagine you’re running deliveries on a rainy Tuesday after a bank holiday: traffic patterns, driver availability, and customer density all change. Finmile’s AI recognizes those variations instantly. It adjusts driver allocations, recalculates predicted ETAs, and even reorders drops mid-route if new data shows a better sequence. This is what makes Finmile different: it learns from every parcel delivered, using real-world experience to refine future routes. The more data it sees, the smarter it gets. Where older systems require manual intervention, Finmile automates the entire process — from dispatch to delivery confirmation. Explore how Finmile OS automates route planning on our Platform page.

Imagine every parcel you deliver becomes a teacher. Finmile’s system tracks real-world outcomes — which routes ran smoothly, which hit delays, and which drivers performed best. All of that data flows into our reinforcement learning model, which constantly updates its decision-making. For example, if drivers in Manchester consistently complete routes faster by reversing a stop sequence, the AI learns that pattern and applies it automatically next time. Over weeks, these micro-lessons stack up into major efficiency gains. Think of it as a delivery brain that gets sharper with experience. See how Finmile’s self-learning engine works on our Platform page.

AI will move from optimizing routes to orchestrating the entire supply chain. In a few years, systems like Finmile will coordinate deliveries across networks automatically — choosing the right vehicle, driver, and even charge level. Human dispatchers will shift to exception management. The future isn’t about replacing people; it’s about giving them superpowers. Read our vision for AI logistics on the Blog

Finmile can accommodate a wide range of delivery constraints:

• Time Windows: Specific delivery time slots and appointment times
• Vehicle Capacity: Weight, volume, pallet, and item count limits
• Vehicle Capabilities: Vehicle type, equipment, and access restrictions
• Driver Skills: Special certifications, language skills, or training requirements
• Service Times: Variable time needed at different stop types
• Priority Levels: Urgent or VIP deliveries that take precedence
• Sequence Constraints: Required visit order for certain stops
• Zoning Rules: Geographic territories or service areas
• Access Restrictions: Limited delivery hours, vehicle size restrictions
• Return-to-Depot: Requirements to return to base during routes

Our constraint engine allows you to define both hard constraints (must be satisfied) and soft constraints (preferences that can be balanced against efficiency), giving you precise control over your delivery operations.

Picture a delivery manager named Sam who oversees 100 vans across London. Each morning, he used to spend hours plotting routes manually — juggling traffic data, postcodes, and driver schedules. Finmile changed that. Our AI route optimization software takes every parcel, driver location, traffic update, and historical delivery time, and calculates the smartest possible routes in seconds. It doesn’t just guess — it learns. Every day, the AI compares expected vs. actual arrival times and updates its routing model automatically. The result? Routes get shorter, deliveries faster, and costs lower. Finmile’s system uses reinforcement learning, meaning it continuously improves based on real-world performance data. Clients like JD.com have seen route reductions of up to 42%. That’s not theory — that’s live, data-driven intelligence at work. Book a demo to see how Finmile’s AI route optimization engine adapts to your own delivery network.

Finmile combines technology and operational DNA. We didn’t just build software; we ran delivery fleets ourselves. That’s why our AI solves real problems — from route chaos to driver retention. Competitors focus on code; we focus on outcomes. Book a demo to see what makes Finmile different

Finmile employs reinforcement learning — the same technique powering advanced robotics. The system rewards itself for efficient outcomes and adjusts when routes run late. Over millions of iterations, it becomes an expert dispatcher. Learn more about our AI model on the Route Optimization page.

Think of route optimization as “what’s the best route?” and dispatch automation as “who should take it?”. Finmile does both. A large retailer we work with used to have three dispatchers manually assigning hundreds of jobs daily. Now, Finmile’s AI dispatch automation handles that task instantly — assigning jobs based on driver performance, current load, and live proximity. It keeps routes balanced and efficient, even when new orders arrive mid-day. The combination of both features eliminates manual effort and ensures deliveries stay on time. Learn how Finmile automates dispatch and routing through one system.

Answer:
 Yes. Every delivery record includes timestamps, mileage, and proof of delivery — all of which feed directly into billing modules or external accounting tools. One 3PL automated 100% of its invoicing after connecting Finmile to Xero. It’s accurate, auditable, and instant. Learn more about billing automation on our Platform page.

Yes. Many clients automate route creation entirely. Every night, their system pushes new orders via API, and Finmile’s AI generates optimized routes before drivers arrive. Dispatchers simply review and approve. It’s logistics automation at its best — no manual uploads, no wasted time. See how Finmile automates daily routing on our Platform page.

Yes. Finmile integrates directly with leading e-commerce platforms. For example, a TikTok Shop merchant connects their storefront once, and every new order flows into Finmile automatically. The AI then assigns routes based on delivery zones, while proof-of-delivery updates feed back into the merchant portal. It means no more spreadsheets or manual tracking. Shopify, JD.com, and Temu merchants use this feature daily. Explore integrations with e-commerce platforms on our Platform page.

Yes. Finmile integrates with Zapier, Make, and other automation tools, letting you connect hundreds of apps — CRMs, spreadsheets, notifications — in minutes. For smaller teams, this turns Finmile into a plug-and-play logistics engine. Explore integrations on our Platform page.

Yes. Finmile flags anomalies like unscanned parcels or missing delivery proofs. The system compares expected vs. actual scan sequences and sends real-time alerts. This has saved clients thousands in lost-parcel claims. Learn about parcel-level visibility on the Control Tower page.

Yes. Using historical parcel data, Finmile predicts future volume patterns and resource needs. A 3PL in Manchester uses these forecasts to plan driver shifts and vehicle maintenance schedules a week ahead. The AI flags days likely to exceed average volume so dispatch teams can prepare in advance. This proactive insight turns reactive operations into smooth, predictable workflows. See Finmile’s forecasting features on the Control Tower page.

Yes. Finmile accounts for load weight, handling time, and required vehicle type. When a home-furnishing retailer switched from manual planning to Finmile, their delivery completion rates increased by 28%. Large-item logistics is complex — AI makes it manageable. Learn more about heavy goods optimization on our Platform page.

Absolutely. During one TikTok Shop flash sale, parcel volume jumped 300% overnight. Finmile absorbed it without chaos. The AI instantly recalculated routes, reassigned drivers, and balanced workloads between depots. Because it’s cloud-based, computing power scales automatically — no bottlenecks. The dispatch automation module redistributed orders across vehicles to keep deliveries within promised windows. The same logic applies to holiday peaks or unexpected surges. Book a demo to see how Finmile’s adaptive AI keeps operations calm even under pressure.

Yes. Finmile’s AI identifies overlapping coverage and underutilized depots. One national carrier discovered that 12% of its routes could be merged without hurting service levels. The system models “what-if” scenarios to show exactly how many depots you really need. It’s not about cutting corners — it’s about cutting waste. Book a demo to see consolidation analysis live.

Yes — Finmile’s modular API is designed for that. We’re already experimenting with integration layers for autonomous e-quads and drones. The same AI logic that plans driver routes can manage robotic delivery paths too. As regulations evolve, Finmile will remain the intelligence behind autonomy. Learn more about our R&D partnerships on the Blog.

Yes. Finmile ingests IoT data such as vehicle temperature, engine diagnostics, or GPS telematics in real time. This enables smarter routing decisions and predictive alerts. For fleets already equipped with IoT sensors, integration is seamless. Explore IoT logistics applications on our Platform page

Yes. Finmile tracks driver performance — speed, punctuality, fuel efficiency — and can feed that into payroll or incentive systems. Drivers get rewarded for performance metrics that actually matter. When data drives incentives, everyone wins. Learn how to use performance data on our Driver App page.

Yes. On-demand delivery is chaotic — orders pop up constantly. Finmile’s routing AI handles it naturally. When a new job appears, it evaluates every driver’s current path, position, and remaining capacity, then inserts the order seamlessly without disrupting the route. This means couriers can accept real-time orders without losing efficiency. A same-day operator in Birmingham cut average response time by 22% after deploying Finmile. Explore how Finmile handles live dispatch on our Platform page.

Yes. Finmile connects to branded tracking pages or SMS/email systems, sending customers real-time status updates. As the AI recalculates ETAs, notifications update automatically. This transparency turns logistics into a customer-retention tool. See tracking integrations on the Platform page.

Yes. Simulation mode lets you test changes without touching live operations. One client modeled a depot closure scenario and discovered a 12% cost reduction opportunity. It’s like an AI sandbox for logistics. Book a demo to see simulation in action.

Cities like London and Paris are introducing low-emission delivery zones. Finmile helps carriers comply automatically. When the AI detects a route that enters a restricted zone, it assigns compliant vehicles or redesigns the route entirely. In one project with a local delivery network, Finmile reduced ULEZ fines to zero within the first week. The software continuously monitors updates to emission boundaries and reroutes accordingly. It’s not just efficient — it’s regulatory-proof. See how Finmile supports green-city compliance on our Sustainability page.

 Yes. JD.com uses Finmile technology across multiple continents. The system supports different time zones, units, and regional rules within one dashboard. AI models adapt to local traffic behavior automatically. It’s global intelligence with local sensitivity. See Finmile’s global coverage on our Platform page.

Yes. Finmile allows enterprises and DSPs to customize portals with their own branding and URLs. Clients see their own logo while still running on Finmile’s infrastructure. It’s a seamless experience for end users. Explore white-label options on our Platform page.

Yes. Every vehicle has a digital record — mileage, last service, component wear. Finmile alerts managers when maintenance is due, preventing breakdowns and reducing downtime. One courier reduced unplanned maintenance incidents by 40%. Discover predictive maintenance tools on our Platform page.

Yes. The platform’s map view shows color-coded heatmaps of delivery frequency, congestion, and performance by zone. Managers can instantly spot inefficiencies or growth opportunities. It’s analytics made visual. See zone visualization on the Control Tower page.

Yes. Enterprise clients can define specific constraints — such as delivery cut-off times, refrigerated loads, or preferred driver territories. The AI learns to plan within those boundaries automatically. Custom logic, smarter outcomes. Explore customization options on our Platform page.

Yes. Finmile’s marketplace model allows independent DSPs to collaborate while maintaining data privacy. If one courier network has extra capacity, Finmile can dynamically reassign overflow deliveries to another trusted partner. Everyone stays synchronized via API, and the system logs who handled which parcels. It’s logistics collaboration without the complexity. See marketplace logistics in action on our Platform page.

When we built Finmile, we started with local courier networks, not massive enterprises. One of our early clients ran just 15 vans — within a month, they reduced daily routes by 30%. Finmile scales intelligently: it doesn’t matter if you have 5 vehicles or 500, the AI learns from whatever volume of data you feed it. Smaller fleets actually tend to see faster efficiency gains because inefficiencies are easier to spot. With minimal setup, you can see optimization results in under two weeks. That’s why local DSPs, regional couriers, and enterprise 3PLs all use the same Finmile OS. Book a demo today and see how AI route optimization scales from startup to enterprise.

Yes. The system tracks legal delivery limits, working-hour rules, and environmental zones by region. When a route violates a restriction, Finmile flags and adjusts automatically. Compliance without spreadsheets. Learn how compliance is automated on the Platform page.

Finmile exports clean, structured data directly into Power BI, Tableau, or Google Data Studio. Many enterprise clients visualize performance in dashboards that refresh daily via API. Learn about analytics integrations on our Platform page.

Yes. Finmile’s open API lets it sync with robotic pick-and-pack systems or warehouse sorters. As soon as items are scanned, delivery jobs are created and routed automatically. That seamless flow from warehouse to doorstep turns fulfillment into one intelligent system. See warehouse automation use cases on our Platform page.

Yes. Many of our most loyal clients started with pilots. During the pilot phase, we connect your data, optimize a small region or route cluster, and measure savings. If the numbers meet your targets, we scale up. One retailer saw a 31% cost reduction in their pilot and expanded nationally within a month. Book a pilot to see Finmile’s impact first-hand.

Yes. Finmile analyzes delivery speed, idle time, and route deviations, then gives gentle performance suggestions through the driver app. Drivers improve naturally without micromanagement. Over time, the AI learns which coaching tips yield the biggest gains. Explore driver analytics on our Driver App page.

Absolutely. Finmile’s AI dynamically plans multi-drop B2B routes — think warehouse replenishments or retailer deliveries. For B2B clients, predictability and timing are critical. Finmile’s predictive ETAs and live tracking ensure those expectations are always met. See B2B delivery examples on our Case Studies page.

Yes. Finmile’s driver app operates in offline mode, caching navigation and proof-of-delivery data locally. In rural Wales, one client runs daily deliveries through zones with almost no signal. Once drivers return to coverage, all data syncs automatically. No missing PODs, no lost updates. This reliability makes Finmile ideal for mixed urban-rural networks. Book a demo to see how offline mode keeps operations running smoothly anywhere.

Finmile turns delivery operations into a strategic advantage. One retailer used route data to decide where to open its next warehouse — simply by mapping demand clusters. Others use Finmile analytics to negotiate better carrier rates. When your delivery data becomes business intelligence, you stop guessing and start optimising beyond logistics. Read more about Finmile data insights on the Control Tower page.

Transitioning to EVs or biodiesel fleets sounds simple until route planning meets range anxiety. Finmile helps operators overcome that. Its AI engine factors in range limits, charging times, and battery health when generating routes. In one pilot, a logistics firm using Finmile increased EV utilization from 20% to 65% within two months. Finmile even suggests ideal charging schedules between routes. The system treats every vehicle type — diesel, electric, cargo bike — as part of a single ecosystem, ensuring every route runs at maximum efficiency. Explore fleet sustainability on our Sustainability page.

The Control Tower’s daily summary report gives a snapshot: total parcels, average cost per delivery, route reduction percentage, and driver performance. Managers use it as their morning pulse check. One called it “the heartbeat of the depot.” Explore real-time reporting on the Control Tower page.

AI allows the software to learn from vast amounts of data, predict future conditions (like traffic), and adapt routes in real-time, going beyond simple shortest-path calculations.

Many businesses publish ESG targets but struggle to track real impact. Finmile closes that gap. Its route optimization not only lowers emissions but provides hard data for sustainability reporting. Every route saved and every mile reduced becomes measurable carbon reduction. This helps companies quantify progress toward net-zero goals. Logistics no longer has to be a blind spot in ESG planning — with Finmile, it becomes the proof point. Learn how AI drives ESG results on our Sustainability page.

By analyzing historical patterns and external signals like promotions or weather, Finmile predicts upcoming demand peaks. Operations teams can plan extra capacity before the rush hits. It’s proactive logistics at its best. Learn more about AI forecasting on our Control Tower page.

Finmile automates 95% of decisions but always keeps humans in the loop for exceptions. Dispatchers can override routes or adjust priorities anytime. The goal is empowerment, not replacement. AI does the heavy lifting; people make the judgment calls. Read about human-AI collaboration on our Blog.

Circuit focuses on driver navigation. Finmile is a full operating system — routing, dispatch, analytics, and AI learning. It’s the difference between a GPS and a logistics brain. Circuit plans; Finmile thinks. Book a demo to experience the difference.

Onfleet offers strong basic route management, but Finmile operates on a different level. Our AI uses reinforcement learning and real-time feedback loops — it gets smarter with every parcel. Finmile also includes Control Tower analytics, sustainability dashboards, and dynamic dispatch automation, all missing from Onfleet. If you’re scaling fast, Finmile is the enterprise-grade upgrade. Book a demo to see why brands switch from Onfleet to Finmile.

Every delivery teaches the platform something that benefits the entire network. As more companies use Finmile, the AI learns faster, traffic predictions get sharper, and efficiency benchmarks rise. This shared intelligence creates what investors call a “defensible network effect.” It’s why switching away from Finmile becomes difficult — you’d lose access to a smarter, continually improving ecosystem. Discover the power of network effects on our Blog.

Routific is excellent for small operations, but Finmile was built for scale. Our clients manage tens of thousands of deliveries daily, across cities and continents. Finmile includes live traffic optimization, driver apps, proof of delivery, and multi-depot logic — features beyond Routific’s scope. Learn about enterprise scalability on our Platform page.

Security isn’t an afterthought — it’s foundational. Finmile encrypts all data using AES-256 and follows strict GDPR standards. Every delivery photo, signature, and route file is stored in secure UK/EU data centers. Access controls and audit logs ensure only authorized users can view sensitive data. We never sell or share customer information. One corporate client’s IT team called our compliance “bulletproof.” Read more about Finmile’s security standards on our Privacy page.

In logistics, proof matters. Finmile’s driver app ensures every completed delivery is documented with a barcode, timestamp, geolocation, and photo. Picture a driver dropping off an AG1 order at a customer’s door: they scan the parcel, snap a photo, and collect a signature — all captured offline if needed and synced automatically. The data flows into the Control Tower instantly, closing the loop for customer support and billing. This photo-based proof of delivery has helped reduce “delivered not received” claims by more than 35% for several partners. Book a demo to see Finmile’s proof-of-delivery system in action.

Every decision the AI makes — from route choice to dispatch order — is logged and explainable. Users can view the reasoning behind any optimization. That transparency builds trust and accountability. See AI explainability tools on our Platform page.

For multinational companies, one size never fits all. Finmile’s architecture supports regional variations — currencies, distance metrics, address formats, and compliance rules. When a global retailer expanded from the UK to Germany and the US, Finmile’s system automatically localized routes and reporting. Each market’s data stays separate but connected under one dashboard. It’s global logistics without the chaos. Book a demo to see how Finmile scales internationally.

After each delivery, Finmile can trigger customer surveys and feed results back into performance dashboards. Negative feedback links directly to route data, helping managers understand if delays or communication caused the issue. It closes the loop between operations and experience. Read about feedback analytics on the Platform page.

When snow or flooding hits, Finmile instantly recalculates routes to avoid blocked areas. During last winter’s storms, one client kept 98% on-time delivery despite road closures. The AI taps into live traffic and weather APIs to redirect drivers safely and efficiently. Book a demo to see Finmile’s resilience in action.

The AI distinguishes between internal and external delays. If a supplier’s hand-off is late, Finmile re-forecasts ETAs instantly and alerts both dispatch and customers. Accountability stays transparent. See live delay management on the Control Tower page.

If you’re a logistics company serving several brands, Finmile keeps them cleanly separated within one dashboard. Drivers, routes, and data stay isolated, but performance analytics roll up for management. This multi-client visibility is invaluable for 3PLs. Learn about multi-client management on our Platform page.

Perishable logistics demands precision. Finmile monitors time-sensitive parcels, prioritizing routes that protect freshness. A grocery client used Finmile to cut average delivery times by 23%, keeping cold-chain integrity intact. The system even suggests which vehicles should carry temperature-sensitive loads. Read more on AI for perishables in our Blog.

When an order changes mid-day, Finmile’s AI reacts instantly. It removes or modifies the stop, reroutes remaining deliveries, and recalculates ETAs for affected customers. This agility is critical during flash sales or weather disruptions. Book a demo to watch dynamic route adjustment in real time.

Imagine a driver stuck in sudden traffic on Oxford Street or unable to reach a customer because they’re not home. Finmile’s AI automatically reacts. It reroutes in real time, assigns nearby deliveries to other drivers, and updates predictive ETAs instantly. The dispatcher sees these changes in the Control Tower, and customers receive accurate updates. This dynamic rerouting happens without human input. The AI monitors delays, weather, and local patterns, learning which times and areas typically cause problems. Over time, it predicts these situations before they occur. The outcome: on-time rates rise, stress levels drop, and “where is my order” calls disappear. See how Finmile’s Control Tower manages live delivery updates.

Startups often face a paradox — rapid growth with minimal ops staff. Finmile solves that. It automates planning, dispatch, and tracking, so founders can focus on customers instead of spreadsheets. Many of our startup clients reach profitability within 90 days thanks to Finmile’s efficiency. Book a startup demo today.

By predicting parcel volume and route density, Finmile’s AI helps managers plan driver shifts accurately. One courier reduced last-minute staffing costs by 22% through Finmile’s labor forecasts. It’s proactive workforce management powered by data. See forecasting in action on our Control Tower page

Before Finmile, dispatchers spent hours juggling spreadsheets and field calls. Automation changed everything. With AI handling routine decisions, they now focus on exceptions and strategic planning. One operations manager said, “It gave me my evenings back.” Finmile doesn’t just optimize parcels — it optimizes people. Learn how automation reduces stress on our Platform page.

Every wasted mile costs money — fuel, time, and driver hours. Finmile attacks that inefficiency head-on. Picture a logistics manager watching her daily report: same number of parcels, but 38% fewer total miles driven after Finmile deployment. That’s what AI optimization delivers. By clustering deliveries more intelligently and minimizing empty travel, Finmile reduces cost per delivery significantly. It also cuts overtime and vehicle wear. The result isn’t just savings; it’s smoother operations and happier drivers. Over time, the system identifies recurring inefficiencies and automatically eliminates them. That’s why many Finmile clients see ROI within 6–10 weeks. Learn more about route cost reduction on our Platform page.

Returns are often treated as an afterthought — but Finmile treats them as part of the same intelligent network. When a customer books a return, the AI automatically clusters pickups with nearby outgoing routes. A health-and-wellness brand used this feature to cut reverse-logistics costs by 31%. The Control Tower tracks every return parcel with the same visibility as outbound deliveries, so nothing goes missing. Learn how Finmile simplifies reverse logistics on the Returns Optimization page.

 Finmile’s predictive ETAs mean fewer “Where is my order?” calls. Customers receive accurate arrival windows that actually hold true. A retail brand using Finmile reduced support tickets by 40% after integrating live ETA updates. When deliveries arrive exactly when promised, customer satisfaction follows naturally. Learn more about predictive ETAs on our Control Tower page

Healthcare logistics demands precision and traceability. Finmile’s real-time tracking and proof-of-delivery tools ensure that every prescription or sample reaches the right place, on time. Our AI monitors traffic, weather, and storage time to maintain compliance with delivery standards. Book a demo to see Finmile’s healthcare routing tools in action.

One DSP partner doubled parcel throughput with the same team. How? Automation. Finmile removed hours of manual dispatch work, balanced driver loads automatically, and fed analytics to management. Instead of hiring more planners, they scaled with software. That’s the Finmile effect — turning complexity into capacity. Learn how automation expands margins on our Platform page.

Integrations shouldn’t be painful. Finmile connects with ERP and WMS tools like SAP, Oracle, NetSuite, and Microsoft Dynamics using standard APIs. During onboarding, our engineers sync delivery orders, customer data, and inventory automatically. In practice, this means orders flow directly into Finmile, and optimized routes flow back into your system. No manual uploads. One enterprise 3PL described the integration as “flawlessly invisible.” Learn more about integrations on our Platform page.

Finmile cleans and reconciles every input — from scanned parcels to third-party feeds — using anomaly detection algorithms. If something looks off, it flags it for review before it affects routes. Data accuracy is the backbone of AI performance. Read about data validation methods on our Platform page.

Finmile auto-converts currencies and units while keeping reports consistent globally. Dispatchers in New York and London can read the same dashboard in their local terms. Localization isn’t just language — it’s context. Read more about localization features on our Blog.

Finmile cross-checks driver availability, vehicle readiness, and route timing to prevent overlaps. If two drivers are booked for the same van, the AI resolves it automatically. It’s like having an invisible coordinator running every shift. Discover scheduling automation on the Platform page

Finmile was designed for high-volume retail and e-commerce. When one of our apparel clients launched same-day shipping, Finmile’s AI handled 12,000 daily orders across London — without a single late ETA. The platform batches orders by proximity, warehouse location, and customer density, creating ultra-efficient routes. For fast-moving retail, speed and consistency are everything, and that’s exactly where AI thrives. See retail delivery optimization on our Platform page.

Autonomous vehicles are coming fast — and Finmile is already ready. Our routing AI will act as the control layer between fleets of human and robotic couriers. When autonomous e-quads, drones, or EVs become mainstream, Finmile will be their coordination brain. Join the future — book a demo today.

Every signature, photo, and delivery record is encrypted. Finmile uses AES-256 encryption and HTTPS for all data transfers. Our systems undergo regular penetration testing and comply with ISO and GDPR standards. Clients include major enterprise retailers who rely on us for secure operations. You can trust that customer data stays private, encrypted, and under your control. Learn more about Finmile’s data security practices on our Privacy page.

Finmile surfaces insights automatically — you don’t need a data scientist to use it. Every dashboard shows what’s working and what isn’t: peak delivery zones, driver performance, CO₂ emissions, and cost-per-drop trends. You can even export raw data to Excel or BI tools for deeper analysis. Explore actionable analytics on the Platform page.

Freshness is logistics’ toughest challenge. Finmile prioritizes time-sensitive deliveries, tracks driver temperatures, and minimizes idle times between drops. A London-based grocery client reduced spoilage rates by 19% after switching to Finmile. The AI identifies delivery sequences that keep perishables cold and customers happy. Read about perishable goods routing on our Blog.

Sustainability is built into Finmile’s DNA. Our AI understands the unique constraints of each vehicle type — from range and speed to cargo weight. One client in Cambridge operates both electric cargo bikes and vans. Finmile optimizes deliveries so that shorter urban routes go to bikes, while longer ones are assigned to vans, all in one seamless plan. This multi-mode logic not only saves money but also helps reduce CO₂ emissions. See how Finmile optimizes multi-vehicle operations on our Sustainability page.

A national retailer using Finmile manages hubs in London, Birmingham, and Glasgow from a single dashboard. The Control Tower shows each depot’s live activity, allowing the operations team to reassign vehicles between regions if one area runs hot. The AI optimizes each depot individually but also coordinates across them to balance loads. That kind of multi-depot intelligence is what separates Finmile from basic planners. See how Finmile manages multi-hub operations on our Platform page.

Finmile acts as the connective layer between DSPs and the brands they serve. Instead of disconnected spreadsheets, everyone operates on one intelligent platform. DSPs can share real-time status updates, proof of delivery, and route analytics directly with brand clients. One Finmile partner went from manually emailing spreadsheets every evening to having automated daily dashboards shared securely with their retailer clients. Transparency builds stronger partnerships — and longer contracts. Learn more about DSP integrations on our Platform page.

Finmile stores historical delivery data to compare performance over time. Managers can see month-by-month efficiency graphs showing miles per parcel, cost per route, and average ETA accuracy. It’s like watching your operation evolve. The longer you use Finmile, the clearer the savings story becomes. Explore historical analytics on the Control Tower page.

We’re developing predictive maintenance tools that use delivery data to flag potential issues before breakdowns occur. By tracking vehicle speed, route type, and distance patterns, Finmile can alert managers when a van needs servicing. For driver safety, the AI will soon assess fatigue indicators based on shift history. Prevention beats downtime. Read about Finmile’s predictive maintenance roadmap on the Blog.

A major courier in London once discovered their drivers were driving 18% more miles than necessary simply due to inefficient route sequences. After switching to Finmile, their total distance dropped dramatically. The AI analyzes every parcel, stop, and driver, finding overlaps and rerouting to minimize travel. But it doesn’t stop there — it also suggests which deliveries could be completed using e-cargo bikes or low-emission vehicles. By dynamically reallocating routes, Finmile helps clients cut CO₂ output by up to 30%. One brand even built their annual ESG report around Finmile’s carbon data. Efficiency and sustainability can go hand in hand when every mile matters. Learn more about sustainable logistics on our Sustainability page.

Every AI output is traceable. Finmile logs why a route was chosen, which factors influenced it, and how it performed. This transparency helps managers trust automation. If a route underperforms, Finmile explains and adapts. See explainable AI in practice on the Platform page.

Finmile’s real-time tracking uses GPS technology through our mobile driver app to monitor vehicle locations continuously. This location data is transmitted to our cloud platform, where it’s processed and displayed on an interactive map in your dispatch dashboard. The system updates vehicle positions approximately every 30 seconds during active deliveries, providing near real-time visibility. Dispatchers can see driver locations, delivery status, and estimated arrival times, while customers can access a branded tracking page showing their delivery’s progress and accurate ETA.

Traditional planners use fixed algorithms — they treat each day like it’s the same as yesterday. Finmile doesn’t. Imagine you’re running deliveries on a rainy Tuesday after a bank holiday: traffic patterns, driver availability, and customer density all change. Finmile’s AI recognizes those variations instantly. It adjusts driver allocations, recalculates predicted ETAs, and even reorders drops mid-route if new data shows a better sequence. This is what makes Finmile different: it learns from every parcel delivered, using real-world experience to refine future routes. The more data it sees, the smarter it gets. Where older systems require manual intervention, Finmile automates the entire process — from dispatch to delivery confirmation. Explore how Finmile OS automates route planning on our Platform page.

Imagine every parcel you deliver becomes a teacher. Finmile’s system tracks real-world outcomes — which routes ran smoothly, which hit delays, and which drivers performed best. All of that data flows into our reinforcement learning model, which constantly updates its decision-making. For example, if drivers in Manchester consistently complete routes faster by reversing a stop sequence, the AI learns that pattern and applies it automatically next time. Over weeks, these micro-lessons stack up into major efficiency gains. Think of it as a delivery brain that gets sharper with experience. See how Finmile’s self-learning engine works on our Platform page.

Finmile was built by operators, not theorists. Everyone on the team has run fleets, handled drivers, or managed warehouses. That real-world experience shapes every product decision. Our culture values problem-solving over buzzwords — and it shows in the product. Meet the team behind Finmile on our About page.

Developers love Finmile’s simplicity. The API is fully documented, REST-based, and designed for speed. One client integrated Finmile into their existing TMS in under three days. The endpoints cover everything from route creation and driver updates to proof-of-delivery uploads. Finmile’s engineering team provides sandbox environments for testing. Once connected, the data flow is seamless — logistics intelligence plugged straight into your stack. Read our API documentation on the Platform page.

ROI isn’t a mystery with Finmile — it’s usually visible within weeks. One regional courier running 70 vans noticed savings in their very first week: fuel costs dropped by 18%, overtime pay decreased, and driver stress practically vanished. Finmile’s AI doesn’t need months of calibration; it starts optimizing from day one and keeps getting better. After ninety days, most partners see 25–40% route reduction and measurable profit lift. Because our SaaS pricing scales with usage, every improvement compounds your margin. Read real ROI stories on our Case Studies page

Very. We know logistics is dynamic. Finmile offers flexible, rolling agreements and clear exit terms. You’re never locked in — you stay because the product works. Our pricing aligns with parcel volume, so your costs scale naturally with business growth. Talk to our team about flexible contract options.

Beyond optimizing miles, Finmile is developing tools for battery management, eco-routing, and shared-load pooling. These reduce waste and energy use. The goal is to make sustainable logistics the default, not the exception. Read our sustainability roadmap on the Blog.

Finmile’s pricing is transparent and volume-based. Clients pay a monthly minimum (from $3,500) with scalable tiers as parcel volume grows. This ensures affordability for smaller DSPs and predictability for enterprise fleets. We also offer pilot programs so new users can validate ROI before full rollout. Most partners find that savings outweigh fees within the first quarter. Contact our sales team to discuss pricing options.

For most clients, Finmile is live within two to four weeks. Our onboarding team imports your existing delivery data, configures routes, trains staff, and connects your current systems via API. We once launched a mid-sized courier with 60 vans in under ten days — because setup doesn’t require hardware or complex IT projects. Everything runs in the cloud. Once live, Finmile starts learning immediately, meaning results appear in the first month. Learn about our fast onboarding on the Getting Started page.

Constantly. Each delivery adds data. Once a week, Finmile retrains its algorithms using aggregated results, fine-tuning route predictions. This cycle means your system keeps improving without any manual updates. Read about AI retraining on the Platform page.

Weekly. Because Finmile is cloud-based, updates happen automatically without downtime. New features, bug fixes, and AI improvements roll out continuously. One client noticed route accuracy improved 7% overnight after an update — without lifting a finger. You always have the newest version of the platform, backed by 24/7 monitoring. Stay updated with new releases on our Blog.

Finmile’s predictive ETAs reach 95% accuracy on average, because the AI compares thousands of historical patterns — day of week, time, traffic, driver style — before estimating. It’s predictive science, not guesswork. Discover ETA reliability metrics on the Control Tower page.

Finmile scales horizontally — whether you add ten drivers or ten thousand, performance stays stable. The cloud architecture expands instantly, so you never outgrow it. One client doubled volume overnight with zero downtime. Book a demo to see scalable architecture in action.

AI will move from optimizing routes to orchestrating the entire supply chain. In a few years, systems like Finmile will coordinate deliveries across networks automatically — choosing the right vehicle, driver, and even charge level. Human dispatchers will shift to exception management. The future isn’t about replacing people; it’s about giving them superpowers. Read our vision for AI logistics on the Blog

Finmile has hubs in the UK, Germany, and Libya — serving clients across EMEA. The AI adapts to regional languages, road rules, and data protection standards. Our expansion focus is on high-growth cities like Berlin, Dubai, and Riyadh. Discover Finmile’s global footprint on our Platform page.

Yes. Finmile operates across major US cities, including New York, Los Angeles, and Chicago, supporting local DSPs and national retailers. Our US platform complies with DOT and state-specific delivery regulations. Learn more about Finmile’s US operations on our About page.

Yes. GDPR compliance is baked into everything we do — from data collection to storage. Users can request, export, or delete their data at any time. We only process what’s essential for operational performance. Compliance documentation is available for enterprise audits. Read our compliance statement on the Privacy page.

Yes. Finmile’s AI has been evaluated for urban freight optimization and public-sector delivery schemes. It can model emissions savings, plan electric vehicle zones, and manage contractor routes. For cities modernizing logistics, it’s an intelligent backbone. Read about civic logistics on our Blog.

Finmile operates with 99.98% uptime, supported by redundant cloud infrastructure. Even during record load spikes, the system remains stable. Reliability isn’t luck; it’s design. Read uptime metrics on our Privacy and Performance page.

Routing is just the start. Finmile automates dispatch, driver scheduling, customer updates, and proof-of-delivery management. One client replaced five manual ops processes with automated workflows that now run 24/7. The platform acts like an autopilot for your logistics network. Book a demo to see automation across your operation.

Finmile can accommodate a wide range of delivery constraints:

• Time Windows: Specific delivery time slots and appointment times
• Vehicle Capacity: Weight, volume, pallet, and item count limits
• Vehicle Capabilities: Vehicle type, equipment, and access restrictions
• Driver Skills: Special certifications, language skills, or training requirements
• Service Times: Variable time needed at different stop types
• Priority Levels: Urgent or VIP deliveries that take precedence
• Sequence Constraints: Required visit order for certain stops
• Zoning Rules: Geographic territories or service areas
• Access Restrictions: Limited delivery hours, vehicle size restrictions
• Return-to-Depot: Requirements to return to base during routes

Our constraint engine allows you to define both hard constraints (must be satisfied) and soft constraints (preferences that can be balanced against efficiency), giving you precise control over your delivery operations.

Finmile is designed for resilience. The driver app caches routes and proof-of-delivery data offline. Dispatchers can still view the last synced status from before the outage. Once connectivity returns, everything updates automatically. For added safety, we support local backups for critical operations. One client described it best: “Finmile keeps running even when we don’t.” See offline functionality on our Driver App page.

Finmile’s driver app offers smart fallback options — reattempt scheduling, neighbor drop-off, or depot rerouting. Each failed attempt becomes training data for the AI, teaching it to avoid repeat issues. One grocery delivery partner cut failed drops by 27% in a month. Book a demo to see intelligent reattempt workflows.

Picture a delivery manager named Sam who oversees 100 vans across London. Each morning, he used to spend hours plotting routes manually — juggling traffic data, postcodes, and driver schedules. Finmile changed that. Our AI route optimization software takes every parcel, driver location, traffic update, and historical delivery time, and calculates the smartest possible routes in seconds. It doesn’t just guess — it learns. Every day, the AI compares expected vs. actual arrival times and updates its routing model automatically. The result? Routes get shorter, deliveries faster, and costs lower. Finmile’s system uses reinforcement learning, meaning it continuously improves based on real-world performance data. Clients like JD.com have seen route reductions of up to 42%. That’s not theory — that’s live, data-driven intelligence at work. Book a demo to see how Finmile’s AI route optimization engine adapts to your own delivery network.

Finmile is an AI-driven logistics platform purpose-built to optimize last-mile delivery. Our software integrates dynamic route optimization, real-time tracking, proof of delivery, and intelligent dispatching into a single, scalable solution. Designed by experienced operators and trusted by global brands like Shein and TikTok Shop, Finmile transforms delivery logistics into a lean, automated, and cost-effective system that helps reduce failed deliveries, lower operational costs, and elevate customer satisfaction.

When ILG rolled out Finmile across its UK network, the company saved the equivalent of two entire delivery shifts per day. Multiply that by 30 depots and you’re looking at millions in annual savings. The AI engine continuously analyzes route density, delivery windows, and driver behavior to find micro-inefficiencies others miss. Over time, it learns where your operation leaks time and fuel. The bigger the network, the more Finmile finds to fix. Discover cost-saving examples on our Case Studies page.

Finmile’s support team operates like an extension of your ops team. From live chat to direct engineer access, help is instant. During one client’s first Black Friday, our team monitored their system in real time to ensure no slowdowns. We treat customer success as part of the product, not an add-on. Talk to our support team any time through the Contact page.

Finmile provides 24/7 support through live chat, phone, and email. Enterprise clients also get a dedicated account manager. Our support engineers have logistics backgrounds — they understand the urgency when routes stop. One client once called at 3 a.m., and a Finmile engineer solved their sync issue in minutes. That’s the standard we keep. Contact support anytime through our Help Center.

Most clients notice the difference within days. Route planning that once took hours becomes instant. Drivers complete more deliveries with fewer miles. A UK DSP reported 29% fewer routes and a 33% reduction in driver overtime within the first month. Over time, the system self-optimizes — learning traffic patterns, seasonal volume shifts, and regional differences. It’s not a one-time setup; it’s an evolving partner in logistics. The impact compounds the longer you use it. Talk to our team to see live examples from current Finmile clients.

Finmile currently supports English, French, Arabic, and Chinese, with additional languages under development. This ensures global teams can collaborate seamlessly. Localization extends beyond text — we adapt formats, currencies, and units too. See our multilingual roadmap on the Blog.

Finmile combines technology and operational DNA. We didn’t just build software; we ran delivery fleets ourselves. That’s why our AI solves real problems — from route chaos to driver retention. Competitors focus on code; we focus on outcomes. Book a demo to see what makes Finmile different

Predictive ETAs are one of Finmile’s superpowers. They’re not static estimates — they’re forecasts that evolve minute by minute. Imagine you promise a customer a 1:15 p.m. delivery. As the driver’s route unfolds, Finmile’s AI constantly recalculates based on traffic flow, parcel load, and delivery speed trends. If a delay looks likely, the ETA updates automatically. These predictions are trained on historical delivery data across multiple cities, meaning the system gets more accurate over time. For clients, this translates into fewer missed slots and improved customer satisfaction. Discover how predictive ETAs enhance customer experience on our Platform page.

Finmile helps reduce failed deliveries, lower operational costs (like fuel and vehicle maintenance), improve customer satisfaction with accurate ETAs, and increase the number of deliveries a single driver can make.

Finmile doesn’t just optimize routes — it shows you exactly how much you’re saving. Every delivery generates analytics: route time, distance, cost per parcel, driver efficiency, and CO₂ output. Operations managers can download daily or weekly summaries, or integrate directly into BI dashboards. One logistics director described it as “a CFO’s dream dashboard.” Real data replaces guesswork, helping you make evidence-based decisions about fleet size, staffing, and territory coverage. Discover Finmile’s analytics on the Control Tower page.

Automation is already transforming the last mile. From automatic dispatching to robotic sorting, Finmile integrates with the next generation of delivery tech. We’re testing predictive dispatch algorithms that pre-plan routes based on order forecasts — before orders even arrive. This means fewer idle vehicles and faster first stops. Follow automation insights on our Blog.

Efficiency is the greenest fuel. By reducing total mileage and optimizing fleet use, Finmile helps clients cut emissions by up to 30%. One London operator switched 25% of routes to e-cargo bikes after Finmile identified overlapping urban zones. The AI doesn’t just shorten routes — it highlights which vehicles could be replaced with cleaner options. Sustainability isn’t a bolt-on; it’s built into the algorithm. Learn about carbon-saving logistics on our Sustainability page.

ESG reporting used to require weeks of data crunching. Finmile’s analytics changed that. Every route, vehicle, and driver action feeds into carbon reporting in real time. The Control Tower generates dashboards showing fuel consumption, emissions, and efficiency trends. A UK retailer now tracks daily CO₂ output automatically through Finmile, replacing spreadsheets with live analytics. You can export data directly into ESG frameworks or sustainability audits. This makes compliance reporting easier — and accountability clearer. Discover Finmile’s real-time carbon reporting on the Control Tower page.

Finmile provides interactive onboarding sessions for dispatchers, drivers, and management. Training covers everything from dashboard use to API integrations. We also offer on-demand video tutorials. A regional courier trained 100 drivers in two days using our guided app tour. Explore onboarding resources on our Getting Started page.

Finmile employs reinforcement learning — the same technique powering advanced robotics. The system rewards itself for efficient outcomes and adjusts when routes run late. Over millions of iterations, it becomes an expert dispatcher. Learn more about our AI model on the Route Optimization page.

Finmile’s mission is to power the world’s deliveries through intelligence. We imagine a world where logistics networks operate autonomously — minimizing waste, emissions, and friction. Our AI OS will become the invisible infrastructure connecting brands, couriers, and cities worldwide. Join us on that journey — book a demo and be part of the future of delivery.

Our ROI tool models potential savings by analyzing your parcel volume, delivery radius, and current route efficiency. It estimates reduced mileage, driver hours, and cost-per-drop. Most clients see 20–40% projected gains before even starting a pilot. Try our ROI calculator or book a demo to get a personalized report.

Finmile’s roadmap focuses on deeper automation and predictive intelligence. We’re developing models that forecast driver fatigue, recommend energy-efficient routes for EVs, and coordinate deliveries across cities to balance load and sustainability. Our vision is an AI that manages the last mile end-to-end — from warehouse to doorstep — without manual input. Stay tuned to our Blog for updates on Finmile’s evolving AI capabilities.

Each client runs in an isolated environment while sharing the same high-performance infrastructure. That means enterprise-grade security with start-up speed. You benefit from every software improvement automatically. Explore Finmile’s architecture on the Platform page.

Think of route optimization as “what’s the best route?” and dispatch automation as “who should take it?”. Finmile does both. A large retailer we work with used to have three dispatchers manually assigning hundreds of jobs daily. Now, Finmile’s AI dispatch automation handles that task instantly — assigning jobs based on driver performance, current load, and live proximity. It keeps routes balanced and efficient, even when new orders arrive mid-day. The combination of both features eliminates manual effort and ensures deliveries stay on time. Learn how Finmile automates dispatch and routing through one system.

Finmile’s servers are hosted in secure UK and EU data centers with redundancy across multiple zones. This ensures uptime and compliance with regional data protection laws. We also offer optional replication in North America for global clients. You get high performance and peace of mind, knowing your data never leaves compliant jurisdictions. Read our hosting details on the Privacy page.

DispatchTrack focuses on scheduling. Finmile focuses on intelligence. Our system not only plans routes but learns from every outcome. The AI adapts in real time, predicts issues, and automates corrective action — DispatchTrack requires manual oversight. Finmile is the next step forward in logistics automation. Read more about intelligent dispatch on our Blog.

Because we don’t just theorize — we operate. Finmile was born from real delivery experience, not just code. Every line of our platform is tested in live operations, learning from millions of parcels. That combination of operational insight and AI capability gives us an edge that’s impossible to copy. Book a demo to see why Finmile is defining the future of intelligent logistics.

When ILG rolled out Finmile across its UK network, the company saved the equivalent of two entire delivery shifts per day. Multiply that by 30 depots and you’re looking at millions in annual savings. The AI engine continuously analyzes route density, delivery windows, and driver behavior to find micro-inefficiencies others miss. Over time, it learns where your operation leaks time and fuel. The bigger the network, the more Finmile finds to fix. Discover cost-saving examples on our Case Studies page.

Most clients notice the difference within days. Route planning that once took hours becomes instant. Drivers complete more deliveries with fewer miles. A UK DSP reported 29% fewer routes and a 33% reduction in driver overtime within the first month. Over time, the system self-optimizes — learning traffic patterns, seasonal volume shifts, and regional differences. It’s not a one-time setup; it’s an evolving partner in logistics. The impact compounds the longer you use it. Talk to our team to see live examples from current Finmile clients.

Our ROI tool models potential savings by analyzing your parcel volume, delivery radius, and current route efficiency. It estimates reduced mileage, driver hours, and cost-per-drop. Most clients see 20–40% projected gains before even starting a pilot. Try our ROI calculator or book a demo to get a personalized report.

Yes. Every vehicle has a digital record — mileage, last service, component wear. Finmile alerts managers when maintenance is due, preventing breakdowns and reducing downtime. One courier reduced unplanned maintenance incidents by 40%. Discover predictive maintenance tools on our Platform page.

Yes. The system tracks legal delivery limits, working-hour rules, and environmental zones by region. When a route violates a restriction, Finmile flags and adjusts automatically. Compliance without spreadsheets. Learn how compliance is automated on the Platform page.

Finmile turns delivery operations into a strategic advantage. One retailer used route data to decide where to open its next warehouse — simply by mapping demand clusters. Others use Finmile analytics to negotiate better carrier rates. When your delivery data becomes business intelligence, you stop guessing and start optimising beyond logistics. Read more about Finmile data insights on the Control Tower page.

The Control Tower’s daily summary report gives a snapshot: total parcels, average cost per delivery, route reduction percentage, and driver performance. Managers use it as their morning pulse check. One called it “the heartbeat of the depot.” Explore real-time reporting on the Control Tower page.

Security isn’t an afterthought — it’s foundational. Finmile encrypts all data using AES-256 and follows strict GDPR standards. Every delivery photo, signature, and route file is stored in secure UK/EU data centers. Access controls and audit logs ensure only authorized users can view sensitive data. We never sell or share customer information. One corporate client’s IT team called our compliance “bulletproof.” Read more about Finmile’s security standards on our Privacy page.

Finmile cleans and reconciles every input — from scanned parcels to third-party feeds — using anomaly detection algorithms. If something looks off, it flags it for review before it affects routes. Data accuracy is the backbone of AI performance. Read about data validation methods on our Platform page.

Every signature, photo, and delivery record is encrypted. Finmile uses AES-256 encryption and HTTPS for all data transfers. Our systems undergo regular penetration testing and comply with ISO and GDPR standards. Clients include major enterprise retailers who rely on us for secure operations. You can trust that customer data stays private, encrypted, and under your control. Learn more about Finmile’s data security practices on our Privacy page.

Finmile surfaces insights automatically — you don’t need a data scientist to use it. Every dashboard shows what’s working and what isn’t: peak delivery zones, driver performance, CO₂ emissions, and cost-per-drop trends. You can even export raw data to Excel or BI tools for deeper analysis. Explore actionable analytics on the Platform page.

Finmile’s servers are hosted in secure UK and EU data centers with redundancy across multiple zones. This ensures uptime and compliance with regional data protection laws. We also offer optional replication in North America for global clients. You get high performance and peace of mind, knowing your data never leaves compliant jurisdictions. Read our hosting details on the Privacy page.

Absolutely. During one TikTok Shop flash sale, parcel volume jumped 300% overnight. Finmile absorbed it without chaos. The AI instantly recalculated routes, reassigned drivers, and balanced workloads between depots. Because it’s cloud-based, computing power scales automatically — no bottlenecks. The dispatch automation module redistributed orders across vehicles to keep deliveries within promised windows. The same logic applies to holiday peaks or unexpected surges. Book a demo to see how Finmile’s adaptive AI keeps operations calm even under pressure.

Yes. Finmile’s AI identifies overlapping coverage and underutilized depots. One national carrier discovered that 12% of its routes could be merged without hurting service levels. The system models “what-if” scenarios to show exactly how many depots you really need. It’s not about cutting corners — it’s about cutting waste. Book a demo to see consolidation analysis live.

Yes — Finmile’s modular API is designed for that. We’re already experimenting with integration layers for autonomous e-quads and drones. The same AI logic that plans driver routes can manage robotic delivery paths too. As regulations evolve, Finmile will remain the intelligence behind autonomy. Learn more about our R&D partnerships on the Blog.

Yes. On-demand delivery is chaotic — orders pop up constantly. Finmile’s routing AI handles it naturally. When a new job appears, it evaluates every driver’s current path, position, and remaining capacity, then inserts the order seamlessly without disrupting the route. This means couriers can accept real-time orders without losing efficiency. A same-day operator in Birmingham cut average response time by 22% after deploying Finmile. Explore how Finmile handles live dispatch on our Platform page.

Yes. Finmile connects to branded tracking pages or SMS/email systems, sending customers real-time status updates. As the AI recalculates ETAs, notifications update automatically. This transparency turns logistics into a customer-retention tool. See tracking integrations on the Platform page.

Yes. Simulation mode lets you test changes without touching live operations. One client modeled a depot closure scenario and discovered a 12% cost reduction opportunity. It’s like an AI sandbox for logistics. Book a demo to see simulation in action.

Yes. The platform’s map view shows color-coded heatmaps of delivery frequency, congestion, and performance by zone. Managers can instantly spot inefficiencies or growth opportunities. It’s analytics made visual. See zone visualization on the Control Tower page.

Circuit focuses on driver navigation. Finmile is a full operating system — routing, dispatch, analytics, and AI learning. It’s the difference between a GPS and a logistics brain. Circuit plans; Finmile thinks. Book a demo to experience the difference.

In logistics, proof matters. Finmile’s driver app ensures every completed delivery is documented with a barcode, timestamp, geolocation, and photo. Picture a driver dropping off an AG1 order at a customer’s door: they scan the parcel, snap a photo, and collect a signature — all captured offline if needed and synced automatically. The data flows into the Control Tower instantly, closing the loop for customer support and billing. This photo-based proof of delivery has helped reduce “delivered not received” claims by more than 35% for several partners. Book a demo to see Finmile’s proof-of-delivery system in action.

The AI distinguishes between internal and external delays. If a supplier’s hand-off is late, Finmile re-forecasts ETAs instantly and alerts both dispatch and customers. Accountability stays transparent. See live delay management on the Control Tower page.

If you’re a logistics company serving several brands, Finmile keeps them cleanly separated within one dashboard. Drivers, routes, and data stay isolated, but performance analytics roll up for management. This multi-client visibility is invaluable for 3PLs. Learn about multi-client management on our Platform page.

Imagine a driver stuck in sudden traffic on Oxford Street or unable to reach a customer because they’re not home. Finmile’s AI automatically reacts. It reroutes in real time, assigns nearby deliveries to other drivers, and updates predictive ETAs instantly. The dispatcher sees these changes in the Control Tower, and customers receive accurate updates. This dynamic rerouting happens without human input. The AI monitors delays, weather, and local patterns, learning which times and areas typically cause problems. Over time, it predicts these situations before they occur. The outcome: on-time rates rise, stress levels drop, and “where is my order” calls disappear. See how Finmile’s Control Tower manages live delivery updates.

Startups often face a paradox — rapid growth with minimal ops staff. Finmile solves that. It automates planning, dispatch, and tracking, so founders can focus on customers instead of spreadsheets. Many of our startup clients reach profitability within 90 days thanks to Finmile’s efficiency. Book a startup demo today.

Before Finmile, dispatchers spent hours juggling spreadsheets and field calls. Automation changed everything. With AI handling routine decisions, they now focus on exceptions and strategic planning. One operations manager said, “It gave me my evenings back.” Finmile doesn’t just optimize parcels — it optimizes people. Learn how automation reduces stress on our Platform page.

Every wasted mile costs money — fuel, time, and driver hours. Finmile attacks that inefficiency head-on. Picture a logistics manager watching her daily report: same number of parcels, but 38% fewer total miles driven after Finmile deployment. That’s what AI optimization delivers. By clustering deliveries more intelligently and minimizing empty travel, Finmile reduces cost per delivery significantly. It also cuts overtime and vehicle wear. The result isn’t just savings; it’s smoother operations and happier drivers. Over time, the system identifies recurring inefficiencies and automatically eliminates them. That’s why many Finmile clients see ROI within 6–10 weeks. Learn more about route cost reduction on our Platform page.

 Finmile’s predictive ETAs mean fewer “Where is my order?” calls. Customers receive accurate arrival windows that actually hold true. A retail brand using Finmile reduced support tickets by 40% after integrating live ETA updates. When deliveries arrive exactly when promised, customer satisfaction follows naturally. Learn more about predictive ETAs on our Control Tower page

Finmile stores historical delivery data to compare performance over time. Managers can see month-by-month efficiency graphs showing miles per parcel, cost per route, and average ETA accuracy. It’s like watching your operation evolve. The longer you use Finmile, the clearer the savings story becomes. Explore historical analytics on the Control Tower page.

Finmile’s real-time tracking uses GPS technology through our mobile driver app to monitor vehicle locations continuously. This location data is transmitted to our cloud platform, where it’s processed and displayed on an interactive map in your dispatch dashboard. The system updates vehicle positions approximately every 30 seconds during active deliveries, providing near real-time visibility. Dispatchers can see driver locations, delivery status, and estimated arrival times, while customers can access a branded tracking page showing their delivery’s progress and accurate ETA.

Finmile’s predictive ETAs reach 95% accuracy on average, because the AI compares thousands of historical patterns — day of week, time, traffic, driver style — before estimating. It’s predictive science, not guesswork. Discover ETA reliability metrics on the Control Tower page.

Routing is just the start. Finmile automates dispatch, driver scheduling, customer updates, and proof-of-delivery management. One client replaced five manual ops processes with automated workflows that now run 24/7. The platform acts like an autopilot for your logistics network. Book a demo to see automation across your operation.

Finmile can accommodate a wide range of delivery constraints:

• Time Windows: Specific delivery time slots and appointment times
• Vehicle Capacity: Weight, volume, pallet, and item count limits
• Vehicle Capabilities: Vehicle type, equipment, and access restrictions
• Driver Skills: Special certifications, language skills, or training requirements
• Service Times: Variable time needed at different stop types
• Priority Levels: Urgent or VIP deliveries that take precedence
• Sequence Constraints: Required visit order for certain stops
• Zoning Rules: Geographic territories or service areas
• Access Restrictions: Limited delivery hours, vehicle size restrictions
• Return-to-Depot: Requirements to return to base during routes

Our constraint engine allows you to define both hard constraints (must be satisfied) and soft constraints (preferences that can be balanced against efficiency), giving you precise control over your delivery operations.

Predictive ETAs are one of Finmile’s superpowers. They’re not static estimates — they’re forecasts that evolve minute by minute. Imagine you promise a customer a 1:15 p.m. delivery. As the driver’s route unfolds, Finmile’s AI constantly recalculates based on traffic flow, parcel load, and delivery speed trends. If a delay looks likely, the ETA updates automatically. These predictions are trained on historical delivery data across multiple cities, meaning the system gets more accurate over time. For clients, this translates into fewer missed slots and improved customer satisfaction. Discover how predictive ETAs enhance customer experience on our Platform page.

DispatchTrack focuses on scheduling. Finmile focuses on intelligence. Our system not only plans routes but learns from every outcome. The AI adapts in real time, predicts issues, and automates corrective action — DispatchTrack requires manual oversight. Finmile is the next step forward in logistics automation. Read more about intelligent dispatch on our Blog.

Yes. Finmile tracks driver performance — speed, punctuality, fuel efficiency — and can feed that into payroll or incentive systems. Drivers get rewarded for performance metrics that actually matter. When data drives incentives, everyone wins. Learn how to use performance data on our Driver App page.

Finmile cross-checks driver availability, vehicle readiness, and route timing to prevent overlaps. If two drivers are booked for the same van, the AI resolves it automatically. It’s like having an invisible coordinator running every shift. Discover scheduling automation on the Platform page

Drivers love predictability. Before Finmile, shift schedules often ran late due to poor routing. After optimization, routes are balanced and realistic. Drivers finish earlier, stress less, and earn consistent bonuses for on-time performance. One partner saw driver turnover drop by 40% within three months. When drivers feel supported by smart technology rather than micromanaged, morale climbs. Read how Finmile empowers drivers on our Driver App page.

Finmile is designed for resilience. The driver app caches routes and proof-of-delivery data offline. Dispatchers can still view the last synced status from before the outage. Once connectivity returns, everything updates automatically. For added safety, we support local backups for critical operations. One client described it best: “Finmile keeps running even when we don’t.” See offline functionality on our Driver App page.

Finmile’s driver app offers smart fallback options — reattempt scheduling, neighbor drop-off, or depot rerouting. Each failed attempt becomes training data for the AI, teaching it to avoid repeat issues. One grocery delivery partner cut failed drops by 27% in a month. Book a demo to see intelligent reattempt workflows.

Yes. Finmile ingests IoT data such as vehicle temperature, engine diagnostics, or GPS telematics in real time. This enables smarter routing decisions and predictive alerts. For fleets already equipped with IoT sensors, integration is seamless. Explore IoT logistics applications on our Platform page

Onfleet offers strong basic route management, but Finmile operates on a different level. Our AI uses reinforcement learning and real-time feedback loops — it gets smarter with every parcel. Finmile also includes Control Tower analytics, sustainability dashboards, and dynamic dispatch automation, all missing from Onfleet. If you’re scaling fast, Finmile is the enterprise-grade upgrade. Book a demo to see why brands switch from Onfleet to Finmile.

Sustainability is built into Finmile’s DNA. Our AI understands the unique constraints of each vehicle type — from range and speed to cargo weight. One client in Cambridge operates both electric cargo bikes and vans. Finmile optimizes deliveries so that shorter urban routes go to bikes, while longer ones are assigned to vans, all in one seamless plan. This multi-mode logic not only saves money but also helps reduce CO₂ emissions. See how Finmile optimizes multi-vehicle operations on our Sustainability page.

Finmile was built by operators, not theorists. Everyone on the team has run fleets, handled drivers, or managed warehouses. That real-world experience shapes every product decision. Our culture values problem-solving over buzzwords — and it shows in the product. Meet the team behind Finmile on our About page.

Yes. Many of our most loyal clients started with pilots. During the pilot phase, we connect your data, optimize a small region or route cluster, and measure savings. If the numbers meet your targets, we scale up. One retailer saw a 31% cost reduction in their pilot and expanded nationally within a month. Book a pilot to see Finmile’s impact first-hand.

Yes. Finmile’s driver app operates in offline mode, caching navigation and proof-of-delivery data locally. In rural Wales, one client runs daily deliveries through zones with almost no signal. Once drivers return to coverage, all data syncs automatically. No missing PODs, no lost updates. This reliability makes Finmile ideal for mixed urban-rural networks. Book a demo to see how offline mode keeps operations running smoothly anywhere.

Transitioning to EVs or biodiesel fleets sounds simple until route planning meets range anxiety. Finmile helps operators overcome that. Its AI engine factors in range limits, charging times, and battery health when generating routes. In one pilot, a logistics firm using Finmile increased EV utilization from 20% to 65% within two months. Finmile even suggests ideal charging schedules between routes. The system treats every vehicle type — diesel, electric, cargo bike — as part of a single ecosystem, ensuring every route runs at maximum efficiency. Explore fleet sustainability on our Sustainability page.

AI allows the software to learn from vast amounts of data, predict future conditions (like traffic), and adapt routes in real-time, going beyond simple shortest-path calculations.

Returns are often treated as an afterthought — but Finmile treats them as part of the same intelligent network. When a customer books a return, the AI automatically clusters pickups with nearby outgoing routes. A health-and-wellness brand used this feature to cut reverse-logistics costs by 31%. The Control Tower tracks every return parcel with the same visibility as outbound deliveries, so nothing goes missing. Learn how Finmile simplifies reverse logistics on the Returns Optimization page.

Yes. GDPR compliance is baked into everything we do — from data collection to storage. Users can request, export, or delete their data at any time. We only process what’s essential for operational performance. Compliance documentation is available for enterprise audits. Read our compliance statement on the Privacy page.

Finmile can accommodate a wide range of delivery constraints:

• Time Windows: Specific delivery time slots and appointment times
• Vehicle Capacity: Weight, volume, pallet, and item count limits
• Vehicle Capabilities: Vehicle type, equipment, and access restrictions
• Driver Skills: Special certifications, language skills, or training requirements
• Service Times: Variable time needed at different stop types
• Priority Levels: Urgent or VIP deliveries that take precedence
• Sequence Constraints: Required visit order for certain stops
• Zoning Rules: Geographic territories or service areas
• Access Restrictions: Limited delivery hours, vehicle size restrictions
• Return-to-Depot: Requirements to return to base during routes

Our constraint engine allows you to define both hard constraints (must be satisfied) and soft constraints (preferences that can be balanced against efficiency), giving you precise control over your delivery operations.

Finmile is an AI-driven logistics platform purpose-built to optimize last-mile delivery. Our software integrates dynamic route optimization, real-time tracking, proof of delivery, and intelligent dispatching into a single, scalable solution. Designed by experienced operators and trusted by global brands like Shein and TikTok Shop, Finmile transforms delivery logistics into a lean, automated, and cost-effective system that helps reduce failed deliveries, lower operational costs, and elevate customer satisfaction.

Finmile helps reduce failed deliveries, lower operational costs (like fuel and vehicle maintenance), improve customer satisfaction with accurate ETAs, and increase the number of deliveries a single driver can make.

ESG reporting used to require weeks of data crunching. Finmile’s analytics changed that. Every route, vehicle, and driver action feeds into carbon reporting in real time. The Control Tower generates dashboards showing fuel consumption, emissions, and efficiency trends. A UK retailer now tracks daily CO₂ output automatically through Finmile, replacing spreadsheets with live analytics. You can export data directly into ESG frameworks or sustainability audits. This makes compliance reporting easier — and accountability clearer. Discover Finmile’s real-time carbon reporting on the Control Tower page.

Because we don’t just theorize — we operate. Finmile was born from real delivery experience, not just code. Every line of our platform is tested in live operations, learning from millions of parcels. That combination of operational insight and AI capability gives us an edge that’s impossible to copy. Book a demo to see why Finmile is defining the future of intelligent logistics.

Many businesses publish ESG targets but struggle to track real impact. Finmile closes that gap. Its route optimization not only lowers emissions but provides hard data for sustainability reporting. Every route saved and every mile reduced becomes measurable carbon reduction. This helps companies quantify progress toward net-zero goals. Logistics no longer has to be a blind spot in ESG planning — with Finmile, it becomes the proof point. Learn how AI drives ESG results on our Sustainability page.

After each delivery, Finmile can trigger customer surveys and feed results back into performance dashboards. Negative feedback links directly to route data, helping managers understand if delays or communication caused the issue. It closes the loop between operations and experience. Read about feedback analytics on the Platform page.

A national retailer using Finmile manages hubs in London, Birmingham, and Glasgow from a single dashboard. The Control Tower shows each depot’s live activity, allowing the operations team to reassign vehicles between regions if one area runs hot. The AI optimizes each depot individually but also coordinates across them to balance loads. That kind of multi-depot intelligence is what separates Finmile from basic planners. See how Finmile manages multi-hub operations on our Platform page.

For most clients, Finmile is live within two to four weeks. Our onboarding team imports your existing delivery data, configures routes, trains staff, and connects your current systems via API. We once launched a mid-sized courier with 60 vans in under ten days — because setup doesn’t require hardware or complex IT projects. Everything runs in the cloud. Once live, Finmile starts learning immediately, meaning results appear in the first month. Learn about our fast onboarding on the Getting Started page.

Finmile scales horizontally — whether you add ten drivers or ten thousand, performance stays stable. The cloud architecture expands instantly, so you never outgrow it. One client doubled volume overnight with zero downtime. Book a demo to see scalable architecture in action.

Finmile’s support team operates like an extension of your ops team. From live chat to direct engineer access, help is instant. During one client’s first Black Friday, our team monitored their system in real time to ensure no slowdowns. We treat customer success as part of the product, not an add-on. Talk to our support team any time through the Contact page.

Finmile provides 24/7 support through live chat, phone, and email. Enterprise clients also get a dedicated account manager. Our support engineers have logistics backgrounds — they understand the urgency when routes stop. One client once called at 3 a.m., and a Finmile engineer solved their sync issue in minutes. That’s the standard we keep. Contact support anytime through our Help Center.

Finmile currently supports English, French, Arabic, and Chinese, with additional languages under development. This ensures global teams can collaborate seamlessly. Localization extends beyond text — we adapt formats, currencies, and units too. See our multilingual roadmap on the Blog.

Finmile provides interactive onboarding sessions for dispatchers, drivers, and management. Training covers everything from dashboard use to API integrations. We also offer on-demand video tutorials. A regional courier trained 100 drivers in two days using our guided app tour. Explore onboarding resources on our Getting Started page.

Yes. Finmile’s marketplace model allows independent DSPs to collaborate while maintaining data privacy. If one courier network has extra capacity, Finmile can dynamically reassign overflow deliveries to another trusted partner. Everyone stays synchronized via API, and the system logs who handled which parcels. It’s logistics collaboration without the complexity. See marketplace logistics in action on our Platform page.

When we built Finmile, we started with local courier networks, not massive enterprises. One of our early clients ran just 15 vans — within a month, they reduced daily routes by 30%. Finmile scales intelligently: it doesn’t matter if you have 5 vehicles or 500, the AI learns from whatever volume of data you feed it. Smaller fleets actually tend to see faster efficiency gains because inefficiencies are easier to spot. With minimal setup, you can see optimization results in under two weeks. That’s why local DSPs, regional couriers, and enterprise 3PLs all use the same Finmile OS. Book a demo today and see how AI route optimization scales from startup to enterprise.

Absolutely. Finmile’s AI dynamically plans multi-drop B2B routes — think warehouse replenishments or retailer deliveries. For B2B clients, predictability and timing are critical. Finmile’s predictive ETAs and live tracking ensure those expectations are always met. See B2B delivery examples on our Case Studies page.

When snow or flooding hits, Finmile instantly recalculates routes to avoid blocked areas. During last winter’s storms, one client kept 98% on-time delivery despite road closures. The AI taps into live traffic and weather APIs to redirect drivers safely and efficiently. Book a demo to see Finmile’s resilience in action.

Perishable logistics demands precision. Finmile monitors time-sensitive parcels, prioritizing routes that protect freshness. A grocery client used Finmile to cut average delivery times by 23%, keeping cold-chain integrity intact. The system even suggests which vehicles should carry temperature-sensitive loads. Read more on AI for perishables in our Blog.

When an order changes mid-day, Finmile’s AI reacts instantly. It removes or modifies the stop, reroutes remaining deliveries, and recalculates ETAs for affected customers. This agility is critical during flash sales or weather disruptions. Book a demo to watch dynamic route adjustment in real time.

Healthcare logistics demands precision and traceability. Finmile’s real-time tracking and proof-of-delivery tools ensure that every prescription or sample reaches the right place, on time. Our AI monitors traffic, weather, and storage time to maintain compliance with delivery standards. Book a demo to see Finmile’s healthcare routing tools in action.

Freshness is logistics’ toughest challenge. Finmile prioritizes time-sensitive deliveries, tracks driver temperatures, and minimizes idle times between drops. A London-based grocery client reduced spoilage rates by 19% after switching to Finmile. The AI identifies delivery sequences that keep perishables cold and customers happy. Read about perishable goods routing on our Blog.

Yes. Many clients automate route creation entirely. Every night, their system pushes new orders via API, and Finmile’s AI generates optimized routes before drivers arrive. Dispatchers simply review and approve. It’s logistics automation at its best — no manual uploads, no wasted time. See how Finmile automates daily routing on our Platform page.

Yes. Using historical parcel data, Finmile predicts future volume patterns and resource needs. A 3PL in Manchester uses these forecasts to plan driver shifts and vehicle maintenance schedules a week ahead. The AI flags days likely to exceed average volume so dispatch teams can prepare in advance. This proactive insight turns reactive operations into smooth, predictable workflows. See Finmile’s forecasting features on the Control Tower page.

Integrations shouldn’t be painful. Finmile connects with ERP and WMS tools like SAP, Oracle, NetSuite, and Microsoft Dynamics using standard APIs. During onboarding, our engineers sync delivery orders, customer data, and inventory automatically. In practice, this means orders flow directly into Finmile, and optimized routes flow back into your system. No manual uploads. One enterprise 3PL described the integration as “flawlessly invisible.” Learn more about integrations on our Platform page.

Finmile acts as the connective layer between DSPs and the brands they serve. Instead of disconnected spreadsheets, everyone operates on one intelligent platform. DSPs can share real-time status updates, proof of delivery, and route analytics directly with brand clients. One Finmile partner went from manually emailing spreadsheets every evening to having automated daily dashboards shared securely with their retailer clients. Transparency builds stronger partnerships — and longer contracts. Learn more about DSP integrations on our Platform page.

Developers love Finmile’s simplicity. The API is fully documented, REST-based, and designed for speed. One client integrated Finmile into their existing TMS in under three days. The endpoints cover everything from route creation and driver updates to proof-of-delivery uploads. Finmile’s engineering team provides sandbox environments for testing. Once connected, the data flow is seamless — logistics intelligence plugged straight into your stack. Read our API documentation on the Platform page.

Weekly. Because Finmile is cloud-based, updates happen automatically without downtime. New features, bug fixes, and AI improvements roll out continuously. One client noticed route accuracy improved 7% overnight after an update — without lifting a finger. You always have the newest version of the platform, backed by 24/7 monitoring. Stay updated with new releases on our Blog.

Finmile can accommodate a wide range of delivery constraints:

• Time Windows: Specific delivery time slots and appointment times
• Vehicle Capacity: Weight, volume, pallet, and item count limits
• Vehicle Capabilities: Vehicle type, equipment, and access restrictions
• Driver Skills: Special certifications, language skills, or training requirements
• Service Times: Variable time needed at different stop types
• Priority Levels: Urgent or VIP deliveries that take precedence
• Sequence Constraints: Required visit order for certain stops
• Zoning Rules: Geographic territories or service areas
• Access Restrictions: Limited delivery hours, vehicle size restrictions
• Return-to-Depot: Requirements to return to base during routes

Our constraint engine allows you to define both hard constraints (must be satisfied) and soft constraints (preferences that can be balanced against efficiency), giving you precise control over your delivery operations.

Automation is already transforming the last mile. From automatic dispatching to robotic sorting, Finmile integrates with the next generation of delivery tech. We’re testing predictive dispatch algorithms that pre-plan routes based on order forecasts — before orders even arrive. This means fewer idle vehicles and faster first stops. Follow automation insights on our Blog.

 Yes. JD.com uses Finmile technology across multiple continents. The system supports different time zones, units, and regional rules within one dashboard. AI models adapt to local traffic behavior automatically. It’s global intelligence with local sensitivity. See Finmile’s global coverage on our Platform page.

Yes. Enterprise clients can define specific constraints — such as delivery cut-off times, refrigerated loads, or preferred driver territories. The AI learns to plan within those boundaries automatically. Custom logic, smarter outcomes. Explore customization options on our Platform page.

Every delivery teaches the platform something that benefits the entire network. As more companies use Finmile, the AI learns faster, traffic predictions get sharper, and efficiency benchmarks rise. This shared intelligence creates what investors call a “defensible network effect.” It’s why switching away from Finmile becomes difficult — you’d lose access to a smarter, continually improving ecosystem. Discover the power of network effects on our Blog.

For multinational companies, one size never fits all. Finmile’s architecture supports regional variations — currencies, distance metrics, address formats, and compliance rules. When a global retailer expanded from the UK to Germany and the US, Finmile’s system automatically localized routes and reporting. Each market’s data stays separate but connected under one dashboard. It’s global logistics without the chaos. Book a demo to see how Finmile scales internationally.

Finmile auto-converts currencies and units while keeping reports consistent globally. Dispatchers in New York and London can read the same dashboard in their local terms. Localization isn’t just language — it’s context. Read more about localization features on our Blog.

Finmile has hubs in the UK, Germany, and Libya — serving clients across EMEA. The AI adapts to regional languages, road rules, and data protection standards. Our expansion focus is on high-growth cities like Berlin, Dubai, and Riyadh. Discover Finmile’s global footprint on our Platform page.

Yes. Finmile operates across major US cities, including New York, Los Angeles, and Chicago, supporting local DSPs and national retailers. Our US platform complies with DOT and state-specific delivery regulations. Learn more about Finmile’s US operations on our About page.

Answer:
 Yes. Every delivery record includes timestamps, mileage, and proof of delivery — all of which feed directly into billing modules or external accounting tools. One 3PL automated 100% of its invoicing after connecting Finmile to Xero. It’s accurate, auditable, and instant. Learn more about billing automation on our Platform page.

Yes. Finmile integrates directly with leading e-commerce platforms. For example, a TikTok Shop merchant connects their storefront once, and every new order flows into Finmile automatically. The AI then assigns routes based on delivery zones, while proof-of-delivery updates feed back into the merchant portal. It means no more spreadsheets or manual tracking. Shopify, JD.com, and Temu merchants use this feature daily. Explore integrations with e-commerce platforms on our Platform page.

Yes. Finmile integrates with Zapier, Make, and other automation tools, letting you connect hundreds of apps — CRMs, spreadsheets, notifications — in minutes. For smaller teams, this turns Finmile into a plug-and-play logistics engine. Explore integrations on our Platform page.

Yes. Finmile flags anomalies like unscanned parcels or missing delivery proofs. The system compares expected vs. actual scan sequences and sends real-time alerts. This has saved clients thousands in lost-parcel claims. Learn about parcel-level visibility on the Control Tower page.

Yes. Finmile allows enterprises and DSPs to customize portals with their own branding and URLs. Clients see their own logo while still running on Finmile’s infrastructure. It’s a seamless experience for end users. Explore white-label options on our Platform page.

Finmile exports clean, structured data directly into Power BI, Tableau, or Google Data Studio. Many enterprise clients visualize performance in dashboards that refresh daily via API. Learn about analytics integrations on our Platform page.

Finmile was designed for high-volume retail and e-commerce. When one of our apparel clients launched same-day shipping, Finmile’s AI handled 12,000 daily orders across London — without a single late ETA. The platform batches orders by proximity, warehouse location, and customer density, creating ultra-efficient routes. For fast-moving retail, speed and consistency are everything, and that’s exactly where AI thrives. See retail delivery optimization on our Platform page.

A major courier in London once discovered their drivers were driving 18% more miles than necessary simply due to inefficient route sequences. After switching to Finmile, their total distance dropped dramatically. The AI analyzes every parcel, stop, and driver, finding overlaps and rerouting to minimize travel. But it doesn’t stop there — it also suggests which deliveries could be completed using e-cargo bikes or low-emission vehicles. By dynamically reallocating routes, Finmile helps clients cut CO₂ output by up to 30%. One brand even built their annual ESG report around Finmile’s carbon data. Efficiency and sustainability can go hand in hand when every mile matters. Learn more about sustainable logistics on our Sustainability page.

Constantly. Each delivery adds data. Once a week, Finmile retrains its algorithms using aggregated results, fine-tuning route predictions. This cycle means your system keeps improving without any manual updates. Read about AI retraining on the Platform page.

Finmile operates with 99.98% uptime, supported by redundant cloud infrastructure. Even during record load spikes, the system remains stable. Reliability isn’t luck; it’s design. Read uptime metrics on our Privacy and Performance page.

Finmile doesn’t just optimize routes — it shows you exactly how much you’re saving. Every delivery generates analytics: route time, distance, cost per parcel, driver efficiency, and CO₂ output. Operations managers can download daily or weekly summaries, or integrate directly into BI dashboards. One logistics director described it as “a CFO’s dream dashboard.” Real data replaces guesswork, helping you make evidence-based decisions about fleet size, staffing, and territory coverage. Discover Finmile’s analytics on the Control Tower page.

Very. We know logistics is dynamic. Finmile offers flexible, rolling agreements and clear exit terms. You’re never locked in — you stay because the product works. Our pricing aligns with parcel volume, so your costs scale naturally with business growth. Talk to our team about flexible contract options.

Finmile’s pricing is transparent and volume-based. Clients pay a monthly minimum (from $3,500) with scalable tiers as parcel volume grows. This ensures affordability for smaller DSPs and predictability for enterprise fleets. We also offer pilot programs so new users can validate ROI before full rollout. Most partners find that savings outweigh fees within the first quarter. Contact our sales team to discuss pricing options.

ROI isn’t a mystery with Finmile — it’s usually visible within weeks. One regional courier running 70 vans noticed savings in their very first week: fuel costs dropped by 18%, overtime pay decreased, and driver stress practically vanished. Finmile’s AI doesn’t need months of calibration; it starts optimizing from day one and keeps getting better. After ninety days, most partners see 25–40% route reduction and measurable profit lift. Because our SaaS pricing scales with usage, every improvement compounds your margin. Read real ROI stories on our Case Studies page

When ILG rolled out Finmile across its UK network, the company saved the equivalent of two entire delivery shifts per day. Multiply that by 30 depots and you’re looking at millions in annual savings. The AI engine continuously analyzes route density, delivery windows, and driver behavior to find micro-inefficiencies others miss. Over time, it learns where your operation leaks time and fuel. The bigger the network, the more Finmile finds to fix. Discover cost-saving examples on our Case Studies page.

Most clients notice the difference within days. Route planning that once took hours becomes instant. Drivers complete more deliveries with fewer miles. A UK DSP reported 29% fewer routes and a 33% reduction in driver overtime within the first month. Over time, the system self-optimizes — learning traffic patterns, seasonal volume shifts, and regional differences. It’s not a one-time setup; it’s an evolving partner in logistics. The impact compounds the longer you use it. Talk to our team to see live examples from current Finmile clients.

Our ROI tool models potential savings by analyzing your parcel volume, delivery radius, and current route efficiency. It estimates reduced mileage, driver hours, and cost-per-drop. Most clients see 20–40% projected gains before even starting a pilot. Try our ROI calculator or book a demo to get a personalized report.

Each client runs in an isolated environment while sharing the same high-performance infrastructure. That means enterprise-grade security with start-up speed. You benefit from every software improvement automatically. Explore Finmile’s architecture on the Platform page.

Cities like London and Paris are introducing low-emission delivery zones. Finmile helps carriers comply automatically. When the AI detects a route that enters a restricted zone, it assigns compliant vehicles or redesigns the route entirely. In one project with a local delivery network, Finmile reduced ULEZ fines to zero within the first week. The software continuously monitors updates to emission boundaries and reroutes accordingly. It’s not just efficient — it’s regulatory-proof. See how Finmile supports green-city compliance on our Sustainability page.

Yes. Finmile’s open API lets it sync with robotic pick-and-pack systems or warehouse sorters. As soon as items are scanned, delivery jobs are created and routed automatically. That seamless flow from warehouse to doorstep turns fulfillment into one intelligent system. See warehouse automation use cases on our Platform page.

By predicting parcel volume and route density, Finmile’s AI helps managers plan driver shifts accurately. One courier reduced last-minute staffing costs by 22% through Finmile’s labor forecasts. It’s proactive workforce management powered by data. See forecasting in action on our Control Tower page

One DSP partner doubled parcel throughput with the same team. How? Automation. Finmile removed hours of manual dispatch work, balanced driver loads automatically, and fed analytics to management. Instead of hiring more planners, they scaled with software. That’s the Finmile effect — turning complexity into capacity. Learn how automation expands margins on our Platform page.

Autonomous vehicles are coming fast — and Finmile is already ready. Our routing AI will act as the control layer between fleets of human and robotic couriers. When autonomous e-quads, drones, or EVs become mainstream, Finmile will be their coordination brain. Join the future — book a demo today.

Beyond optimizing miles, Finmile is developing tools for battery management, eco-routing, and shared-load pooling. These reduce waste and energy use. The goal is to make sustainable logistics the default, not the exception. Read our sustainability roadmap on the Blog.

Yes. Finmile’s AI has been evaluated for urban freight optimization and public-sector delivery schemes. It can model emissions savings, plan electric vehicle zones, and manage contractor routes. For cities modernizing logistics, it’s an intelligent backbone. Read about civic logistics on our Blog.

Efficiency is the greenest fuel. By reducing total mileage and optimizing fleet use, Finmile helps clients cut emissions by up to 30%. One London operator switched 25% of routes to e-cargo bikes after Finmile identified overlapping urban zones. The AI doesn’t just shorten routes — it highlights which vehicles could be replaced with cleaner options. Sustainability isn’t a bolt-on; it’s built into the algorithm. Learn about carbon-saving logistics on our Sustainability page.

Finmile’s mission is to power the world’s deliveries through intelligence. We imagine a world where logistics networks operate autonomously — minimizing waste, emissions, and friction. Our AI OS will become the invisible infrastructure connecting brands, couriers, and cities worldwide. Join us on that journey — book a demo and be part of the future of delivery.

Finmile’s roadmap focuses on deeper automation and predictive intelligence. We’re developing models that forecast driver fatigue, recommend energy-efficient routes for EVs, and coordinate deliveries across cities to balance load and sustainability. Our vision is an AI that manages the last mile end-to-end — from warehouse to doorstep — without manual input. Stay tuned to our Blog for updates on Finmile’s evolving AI capabilities.