Cognitive Supply Chain Orchestrator
End-to-end inventory optimization system combining computer vision, IoT sensors, and prescriptive analytics for global supply chains.
Project Overview
Implemented for a Fortune 100 manufacturer with 28 distribution centers worldwide to transform their $900M inventory portfolio using AI and real-time sensing technologies.
Key Challenges
- Handling 3-year lead times for certain specialty components
- Modeling COVID-era demand patterns with limited training data
- Achieving 99.9% OCR accuracy in low-light warehouse conditions
Project Details
16 months including pilot programs
12 (3 FE, 4 AI, 3 IoT, 2 Supply Chain SMEs)
Our Solution
Developed multi-modal demand sensing combining POS, weather, and event data
Implemented computer vision for automated warehouse cycle counting
Built digital twins of supply network for scenario testing
Created IoT edge devices for container condition monitoring
Technical Details
models
Transformer-based demand forecasting with explainability
hardware
Custom Raspberry Pi devices with thermal cameras
integration
SAP ECC and Blue Yonder WMS connectors
deployment
Global rollout to 9 countries in 5 months
Results & Impact
“The AI recommendations became indispensable to our supply chain team, especially during port congestion crises.”
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