TrackFlow — Real-Time Logistics & Delivery Platform
Every shipment. Every driver. Every second.
Project Overview
A regional logistics company running 1,200 daily delivery routes was managing dispatch via phone calls and spreadsheets. Drivers had no app. Customers had no tracking. Dispatchers had no real-time visibility. Failed deliveries cost an average of $34 each to reattempt. TrackFlow gave every stakeholder a purpose-built interface and cut failed deliveries by 76%.
The Challenges
- 1
1,200 simultaneous live GPS streams needed sub-5-second update latency in the dispatcher dashboard without crushing the server.
- 2
Route optimisation had to account for vehicle capacity, driver hours-of-service regulations, time windows, and live traffic — not just shortest distance.
- 3
Drivers had varying levels of tech literacy — the mobile app had to work offline and require fewer than 3 taps for any core action.
- 4
Customers expected Amazon-quality tracking notifications; anything less generated inbound support calls.
Our Approach
The platform has three integrated interfaces: a dispatcher web dashboard, a driver PWA, and a customer tracking portal. Driver GPS events stream via WebSocket to a Kafka topic, which fans out to the dispatcher dashboard (via server-sent events) and to the geofence engine (which triggers customer SMS/email notifications at key milestones). Route optimisation uses Google OR-Tools with a custom constraint layer encoding HOS rules, time windows, and live traffic data from the HERE API. The driver PWA is a progressive web app that caches routes and works fully offline — syncing delivery confirmations (including photo-proof-of-delivery) when connectivity resumes.
Key Features & Metrics
Live GPS tracking for 1,200 simultaneous routes with <5s update latency
AI route optimisation accounting for capacity, HOS regulations, and real-time traffic
Driver PWA with offline support and photo proof-of-delivery
Customer self-service tracking portal with live map and milestone notifications
Geofence-triggered automated SMS/email notifications at pickup, en-route, and delivery
Failed delivery prediction model: flags high-risk stops 2 hours in advance for proactive customer contact
Results & Business Outcome
On-time delivery rate improved from 87% to 99.2%. Failed delivery reattempt costs fell 76%, saving $1.1 M annually. Customer support inbound calls dropped 64% — attributed entirely to proactive tracking notifications. Driver productivity (stops per hour) improved 18% through optimised routing.
Logistics is a trust business. The moment a customer knows exactly where their package is, anxiety disappears — and so do the support calls.
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