/ CASE_STUDIES / NEURAL_NET
Logistics Automation Platform
Web App / Automation
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Challenge
A regional logistics operator was manually assigning delivery routes each morning — slow, error-prone, and unable to adapt to last-minute changes.
Approach
Delivered an automation platform that generates and re-optimizes routes in real time from live driver and order data.
Built with
Route optimization engineLive GPS data feedsReact dashboard
Outcome
- Dispatch planning fell from hours to minutes
- Routes re-optimize automatically through the day
- Dispatchers handle exceptions, not manual routing
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