What problem does it solve?
Multi-location retailers face costly stockouts, excess inventory, and wasted working capital due to inaccurate demand forecasting and suboptimal inventory planning across hundreds of SKUs with varying demand patterns, seasonal fluctuations, and promotional activity.
Core Features & Use Cases
- Demand Forecasting & Model Selection: Choose the right forecasting method (moving average, exponential smoothing, causal regression, ML) based on SKU ABC/XYZ classification and demand pattern, with guidance on parameter tuning and validation.
- Safety Stock & Replenishment Optimization: Calculate optimal safety stock levels aligned with service level targets, and implement min/max, ROP/EOQ, or periodic review replenishment logic adjusted for lead time variability and vendor MOQ constraints.
- Promotional & Seasonal Planning: Estimate promotional lift, account for cannibalization and post-promo demand dips, and manage seasonal buy timing, markdown strategies, and end-of-season liquidation.
- Use Case: A grocery retailer planning a 3-week BOGO promotion on a top-20 SKU can use this skill to estimate lift, calculate forward buy quantity, coordinate with vendors on advance POs, and plan for the post-promo sales dip.
Quick Start
Use the inventory-demand-planning skill to generate a 12-week demand forecast and safety stock recommendation for your top 50 grocery SKUs, accounting for upcoming summer promotional events.
