What problem does it solve?
This Skill turns scattered sales signals, supplier constraints, and promotional plans into actionable demand forecasts and replenishment recommendations to minimize stockouts and excess inventory across multiple locations.
Core Features & Use Cases
- Forecast method selection: Recommend moving averages, exponential smoothing, STL decomposition, regression, Croston, or ML models based on SKU demand patterns.
- Safety stock & replenishment: Compute service-level driven safety stock including lead time variability, generate reorder points and purchase order suggestions with MOQ/EQO rounding.
- Promotion & season handling: Estimate promotion uplift, model cannibalization and post-promotion troughs, and provide phased seasonal procurement guidance.
- Segmentation & governance: Perform ABC/XYZ segmentation, set review cadences, and define escalation triggers for model drift or supply disruptions.
- Use case example: produce a weekly plan that flags A-class SKUs with rising tracking signals, recalculates safety stock given extended lead times, and outputs suggested PO adjustments for the planning cycle.
Quick Start
Generate a 12-week demand forecast, safety stock recommendation, and suggested purchase orders for SKU 123 across 50 stores using weekly POS sales, lead times, and the promotion calendar.
