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Logistics

Route optimization for a delivery fleet

Predictive routing that adapts to traffic and demand in real time, trimming miles and emissions across the network.

Client

A regional last-mile delivery operator

Timeline

14 weeks

Services

Data Engineering & AnalyticsCustom AI & ML Software

18%

lower fuel spend

+12%

on-time deliveries

−15%

miles driven

The challenge

Routes were planned by hand each morning and never adjusted for traffic, weather, or same-day demand — so drivers logged extra miles and missed delivery windows.

Our approach

  1. 1

    Consolidated telematics, orders, and traffic feeds into one real-time data platform.

  2. 2

    Built an optimization engine that re-plans routes continuously as conditions change.

  3. 3

    Gave dispatchers a live map and override controls so the humans stay in charge.

“The routing pays for itself every single week. Our dispatchers finally trust the plan.”
Tom Becker — Head of Operations

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