Los Angeles, CA
A Los Angeles regional freight company was routing drivers manually — dispatchers used printed maps and intuition to assign routes, with no real-time traffic integration, no dynamic re-routing for delays, and no visibility for customers on their shipment location. Rising fuel costs and customer churn from missed delivery windows were compressing margins.
We built a complete logistics intelligence platform — an AI route optimization engine that generated optimal multi-stop routes in real time integrating live traffic, weather, and delivery window constraints. A real-time shipment tracking platform gave B2B customers full visibility into their freight. Automated exception alerts notified customers and dispatchers immediately when a delivery was at risk.
Analyzed 12 months of delivery records, fuel logs, and customer complaints to quantify the cost of manual routing and poor visibility.
Built the multi-variable route optimization engine integrating with Google Maps Platform, weather APIs, and vehicle capacity data.
Developed the real-time shipment tracking portal with B2B customer access, ETA prediction, and automated exception notifications.
Built the driver mobile app with turn-by-turn navigation, electronic proof of delivery, and real-time dispatch communication.
AI route optimization reduced average delivery time 35% by eliminating suboptimal routing and enabling real-time re-routing around delays.
Optimized routes and reduced idle time cut total fleet fuel spend 28% in the first 6 months.
On-time rate improved from 87% to 99% as dynamic re-routing prevented delays before they occurred.
Route optimization allowed the existing fleet to handle 42% more deliveries without adding vehicles or drivers.
“We were burning money on fuel and losing clients to missed windows. The AI routing paid for itself in fuel savings in the first three months.”
Let’s discuss how Calidigi can deliver results like these for your industry — with a custom strategy built around your goals.