Platform Features Overview

An End and End Logistics Solution Built for You

Integrations

Volume input via major 3PLs/brands/legacy system, live order imports/status

Route

Automate, optimise fleet, SLA aware, mixed fleet, familiar routes

Track

Track deliveries from order to door, real time delivery visibility & bespoke ePODs

Execute

Native driver App, supports any logistic partner network monitored SLA, real time visibility

Analyse

Embedded BI tools & actionable insights that maer, can be integrated into legacy systems

Experience

Patient-safe, branded updates to care homes and individuals

Returns

Returns built into existing routes with ai dynamic routing

Why Finmile Leads

Predictive ETA AI

Finmile: Dynamic, real-time recalculation Others: Static estimates

AI POD Verification

Finmile: Auto-approval with ML Others: Manual check only

Exception Automation

Finmile: Real-time workflow Others: Delayed

CO₂ & Sustainability Metrics

Finmile: Built-in Others: Add-on

Open API

Finmile: Full developer access Others: Limited

Why Real-Time Delivery Tracking Matters

You can’t fix what you can’t see. Modern logistics requires more than dots on a map — it needs intelligence, context, and prediction.

  1. Dispatchers react to problems after they occur.
  2. Customers are left in the dark.
  3. Operations lose time, money, and trust.
  1. You see every delivery in motion — live.
  2. Predictive ETAs alert you before issues escalate.
  3. AI processes proof of delivery automatically, saving hours of manual verification.
  4. Data transforms from noise into actionable insight.

Multi-Fleet & Multi-Mode Optimization

Built for Vans, Bikes, and Beyond

Whether you’re managing e-cargo bikes in London or vans in Connecticut, Finmile optimizes routes for every fleet type. It accounts for range limits, speed, and battery levels — even in mixed-mode operations.
  • Handles e-cargo, vans, cars, and on-foot delivery
  • Adapts routes to local conditions and energy constraints
  • Works offline in low-signal environments
  • Centralized monitoring via Control Tower
See How Finmile Handles Mixed Fleets
How It Works

How Finmile Learns from Every Delivery

Every delivery Finmile optimizes teaches it something new. Our reinforcement learning model adapts to patterns in driver behavior, delivery density, time windows, and even weather.

See the AI Engine in Action
Predictive ETAs and Real-Time Routing

Predictive ETAs That Stay Accurate

Finmile doesn’t guess ETAs — it calculates them dynamically using live data. When traffic, weather, or delays hit, Finmile adjusts the route instantly and updates the customer ETA in real time.

Prediction
Prediction

Predictive ETA modeling using live traffic data

Optimization
Optimization

Real-time adjustment to improve delivery promises

Integration
Integration

API integration to push ETAs into your customer communications

Visibility
Visibility

Visibility for dispatchers via the Control Tower dashboard

Cost and Carbon Reduction

Lower Costs. Smaller Footprint

Route optimization isn’t just about speed — it’s about sustainability. Finmile’s AI finds the balance between delivery time, driver distance, and emissions — automatically cutting wasted mileage and CO₂.
  • 42% fewer vehicles needed per route
  • 24% lower delivery cost per parcel
  • Up to 33% lower fuel consumption
The Results (Proof & ROI)

Deliver More with Fewer Routes

Across thousands of daily deliveries, Finmile reduces average routes by 29–42%. That means fewer drivers on the road, lower fuel costs, and better on-time performance.

Finmile’s AI didn’t just make routes shorter — it made our entire operation calmer.

US Delivery Partner, NetZero Logistics

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