CargoFlow — Last-Mile Delivery Orchestration

CargoFlow is a last-mile delivery platform that takes orders from WMS or e-commerce systems, optimizes routes and assignments, and gives drivers a mobile app for navigation and proof of delivery. Shippers and recipients get real-time tracking and delivery windows.

Retailers and 3PLs were using spreadsheets and phone calls to plan and track last-mile deliveries. Routes were suboptimal, drivers had no unified tool for stops and POD, and customers had no visibility. Cost per delivery was high and on-time performance inconsistent, especially in dense urban areas.

One system that connects order intake to delivered-and-signed: optimized routes, clear driver instructions, and full visibility for shippers and end customers. The product should work for same-day and next-day models and scale from single-depot to multi-hub networks.

We focused on reducing cognitive load for drivers (next stop always clear, one-tap POD) and giving dispatchers a single timeline view of the day. We used map-first design for route and live views, with list and filter options for power users. Recipient experience was lightweight: link-based tracking with minimal steps. We designed for variable connectivity and offline capture with sync when back online.

React admin and dispatcher dashboard; mobile app (React Native) for drivers. Backend: order and route services; optimization engine (OR-Tools / custom) runs as async jobs. PostgreSQL for orders, routes, and POD; Redis for live driver state. Geocoding and routing via external APIs with fallbacks. Webhooks and API for WMS and e-commerce integrations.

The client has a working last-mile platform: orders flow in, routes get optimized, and drivers use the app for navigation and proof of delivery. Their first pilot customer is live; the client is gathering feedback and planning integrations for more rollouts.