A route-optimization engine using ML to cut delivery costs for a regional fleet operator.
Routewise's dispatchers were planning delivery routes manually, leaving fuel and time savings on the table across a 120-vehicle fleet.
We trained a route-optimization model on two years of historical delivery data and traffic patterns, deployed behind a dispatcher-facing dashboard with override controls.
-18%
Fuel spend
-12%
Avg. delivery time
3x
Routes planned per day
Stack
Services used
Fintech · SaaS PlatformA multi-tenant accounting platform for SMB finance teams, rebuilt from a legacy monolith.
3.2x faster monthly close
Healthcare · Web ApplicationA patient-scheduling system connecting 40+ clinics with real-time availability sync.
62% fewer no-shows
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