Retrieval-Augmented Generation (RAG) system specifically designed to provide instant, data-driven answers on inventory levels, supplier lead times, and historical usage trends. Deployed as a front office or shop floor assistant, it can be accessed by warehouse staff, procurement teams, and production supervisors.
Key Features
- Centralized Repository & Indexing
- Integrates with your existing ERP or inventory management system.
- Indexes documents such as purchase orders, supplier contracts, and stock level logs for fast retrieval.
- Instant Queries & Insights
- Users ask natural-language questions, e.g., “What’s the current stock level of Part #ABC123?” or “Which supplier can deliver it fastest?”
- The RAG pipeline retrieves the most relevant data (historic usage, lead time, cost) and generates a concise, context-aware answer.
- Automated Recommendations
- Suggests reorder points based on consumption rates and safety stock calculations.
- Flags potential supply chain risks (e.g., an impending shortage or delayed shipment).
- Interactive Dashboards
- Displays real-time inventory levels, reorder suggestions, and top slow-moving items.
- Supports what-if simulations (e.g., “How would a 20% increase in demand affect current stock?”).
Example Workflow
- Real-Time Query: A warehouse manager asks, “Do we have enough bearings for the next production run?”
- RAG Retrieval: The system pulls data from stock logs, usage forecasts, and supplier lead times.
- Generated Response: “We have 500 bearings in stock. The upcoming run requires 400. Projected usage in the next month is 600. Recommend reordering in two weeks to maintain minimum safety stock.”
- Action: The manager places a reorder through the same interface or updates the ERP.
Impact
- Reduced Stockouts: Timely insights help avoid production delays.
- Better Supplier Management: Identifies most reliable suppliers and warns of potential delivery issues.
- Time Savings: Minimizes manual checks and searches across multiple systems.