Enhancement of Demand Forecasting and Supply Chain Planning product via GPT
summary
BE-terna extends its Demand Forecasting and Supply Chain Planning product by embedding a GPT-based chatbot and a supply chain monitor that ingests supplier communications, shipment APIs and social media, stores context in a vector database retrieval layer, and returns summarized supplier issues and alternatives to enrich PO recommendations. Forecasting remains handled by existing ML models; GPT explains "why" orders were suggested (examples: rounding to 5,000 or safety-stock needs) and drives alerts to planners. Implementation runs on Microsoft/OpenAI access and already ships as a cloud option; the fashion deployment reached a Go Digital finalist.
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chapters (10)
- 0:00Supply chain AI product intro
- 1:10Go Digital Award success
- 4:02Supply chain models overview
- 4:24Integrate GPT into product
- 6:57Internal HR assistant use case
- 8:42Supply chain monitor with GPT
- 13:36Customization and implementation
- 14:18GPT benefits in supply chain
- 15:41Conclusion and future
- 16:06Q&A
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