AI-driven demand forecasting, automated procurement, supplier management, and inventory optimisation.
Sibyl Supply Chain applies machine learning to the hardest problem in operations management: predicting what you will need, when, and from whom. The demand forecasting model learns from historical sales, seasonal patterns, promotional calendars, and external signals like weather and market trends.
When the forecast predicts a shortage, the system generates a draft purchase order and routes it for approval. When stock exceeds the safe-over threshold, it pauses reorders and alerts the procurement team. The result is a supply chain that reacts to reality rather than static reorder points.
Supplier management provides a 360-degree view of every vendor: performance scores, lead time variability, quality metrics, and financial risk ratings. Automated supplier scorecards are generated monthly and shared directly with suppliers through the supplier portal.
Automatically replenish store and warehouse stock based on AI sales forecasts, seasonal patterns, and promotional plans — preventing stock-outs before they happen.
Calculate material requirements planning (MRP) based on production schedules, automatically generating purchase orders for raw materials with the right lead times.
Manage the complete import lifecycle — purchase orders, shipping documents, customs declarations, and landed cost — for international procurement operations.
Give suppliers real-time visibility into purchase orders, allow them to confirm delivery dates and upload advance shipping notices, and track performance over time.
See Sibyl Supply Chain in action. Our specialists will tailor a demo to your specific use case and industry.
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