Client: Global Supply Chain & Logistics Provider

Challenge:
The client struggled with shipment delays, lack of visibility in goods movement, and high operational costs due to inefficient route planning. Manual processes made it difficult to predict and mitigate risks such as damaged goods or route disruptions.

Solution (Detailed):
Chrysalis introduced an AI-enabled IoT supply chain visibility platform, connecting sensors, RFID tags, and GPS-enabled devices to track and optimize logistics. Key features included:

• Real-Time Shipment Tracking – IoT devices monitored goods in transit (location, temperature, humidity, vibration) to ensure compliance and reduce spoilage.
• Predictive Analytics for Route Optimization – AI analyzed historical and real-time traffic/weather data to optimize delivery routes and schedules.
• Automated Warehouse Management – IoT sensors tracked pallet and container movements, while AI predicted demand for faster fulfillment.
• Risk & Exception Management – AI models flagged potential disruptions (delays, accidents, non-compliance risks) and suggested proactive corrective actions.

Results:
✔ 35% reduction in logistics costs with AI-driven route optimization.
✔ 20% fewer shipment delays with predictive disruption management.
✔ 30% improvement in warehouse efficiency via real-time IoT monitoring.
✔ Higher customer satisfaction due to transparent, real-time tracking.