Intelligent Shipment Tracking System
A courier service managing 5,000+ daily shipments had no automated way to detect delays, predict ETAs, or notify customers proactively.
- 5000+
- Daily Shipments
- 92%
- ETA Accuracy
- 60%
- Fewer Support Calls
- 4 mo
- To Delivery
With 5,000+ daily shipments, the support team was overwhelmed with 'where is my package' calls. ETAs were static estimates that didn't account for real-world conditions, and customers weren't notified about delays until they complained.
They needed an intelligent tracking system that predicted accurate ETAs based on real-time conditions, proactively notified customers of delays, and gave support agents instant visibility into any shipment's status.
We delivered a tracking system with ML-based ETA prediction, proactive delay notifications via SMS and email, a customer self-service tracking portal, and a support agent dashboard with full shipment history and context.
ETA predictions hit 92% accuracy, proactive notifications reduced customer support calls by 60%, and the self-service portal now handles the majority of tracking queries without human intervention.
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