Case study
AI-Powered Dispatch & Tracking System
How Netsam built a custom web and mobile system that uses AI to plan routes, track deliveries in real time, and streamline warehouse operations.

- Faster planning
- 50%
- Lower miles
- 30%
- POD accuracy
- 99%
- Driver adoption
- 100%
The Challenge
Manual trip planning, disconnected systems, and limited visibility made it difficult to operate efficiently and keep customers informed.
The Solution
A custom web system with AI load planning, route optimization, real-time GPS tracking, and a mobile driver app built as a PWA.

My Tasks
The day’s stops in order, with status and ETA.

Finish Delivery
Arrival and unloading times are recorded as the driver taps each step.

Delivery Complete
Proof of delivery with photos, confirmed and timestamped.
Netsam didn’t just build us a website. They built a system that changed how we operate. The AI route planning and real-time tracking have saved us time and money every day.
Results
- Dispatchers review and approve an AI-proposed plan instead of building every trip by hand.
- Routes are sequenced around appointment windows, cutting miles driven.
- Every delivery is confirmed with a scan, photo, signature and timestamp.
- Drivers use a browser-based app on their own phones, with no app-store install.
Technology
- React and TypeScript
- Progressive web app
- Node.js services
- PostgreSQL
- Claude API
- Mapping and routing platform
What’s Next
AI agents are enabled one at a time, each only after it has matched the dispatchers’ own decisions against published readiness criteria. Dispatchers keep approval and override at every step.

