All work

Route Optimization

FastLogistics

Cut delivery times by 35%

app.fastlogistics.io
FastLogistics — Route #R-2204
4 Stops
#AddressETAStatus
00114 Harbor Rd, Dock B09:15
Delivered
00288 Industrial Ave10:40
En Route
0033 Merchants Way12:05
Pending
00421 Westfield Blvd13:30
Pending
Live Route Map

The Story

FastLogistics was running their fleet on spreadsheets and gut feel. Drivers got static routes in the morning and re-planned on the fly when traffic, weather, or new orders hit. We replaced that with a live optimization engine that re-routes every active driver every five minutes against real-world constraints.

Average delivery time dropped 35%, fuel costs dropped 18%, and dispatchers stopped firefighting. The model factors in vehicle capacity, driver hours, customer windows, and live traffic — and feeds back actuals so it gets sharper every week.

What We Built

  • Live route re-optimization every five minutes
  • Vehicle capacity and driver-hour constraint solving
  • Customer delivery window enforcement
  • Continuous learning from actuals vs predictions

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