Case study · Logistics
Route optimization and fleet visibility for a regional logistics company
A regional delivery company handling thousands of shipments a day was planning routes and dispatching by hand. We built dynamic route optimization, a fleet dashboard and a driver app.
Context
The client and the situation.
The client delivers thousands of shipments each day across urban and suburban areas. Volume was growing quickly, and every inefficiency in planning was multiplied by the number of vehicles on the road.
Challenge
What was holding them back.
- Routes were planned poorly, so deliveries took longer.
- Fuel and operating costs were high.
- The operations team had no real-time view of vehicles or delivery status.
- Dispatch decisions were made manually.
Approach
How we framed the problem.
We treated this as a real-time optimization and data problem. Routes are recalculated as conditions change, and the operations team sees the same live picture as the drivers.
What we built
The product, module by module.
Route optimization engine
Calculates routes from traffic, delivery priority, distance and constraints, and updates them in real time.
Fleet management dashboard
Live vehicle tracking, delivery status and route visualization for the operations team.
Driver mobile app
Turn-by-turn navigation, route updates and delivery task management.
Demand forecasting
Predicts delivery demand by location so vehicles and drivers can be allocated in advance.
Automated dispatch
Priority-based scheduling and automatic job assignment, with less manual intervention.
Results
What changed.
Results reported for the project after launch.
Technology
Stack used.
- React
- React Native
- Node.js
- Routing and prediction algorithms
- Google Maps / Mapbox APIs
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