12 Demand Planning KPIs to Improve Forecasting in 2026

Summary

In this episode Erin Oliveri breaks down demand planning and presents twelve essential KPIs that can sharpen forecasting for 2026. She explains core concepts—from baseline forecasting and data gathering to optimization and demand review—then details each metric, including forecast error, MAPE, sMAPE, WAPE, bias indicators like MFE and tracking signal, and execution measures such as order fill rate, perfect order rate, inventory turnover, stock‑to‑sales ratio, and GMROI. The discussion highlights how these KPIs expose bias, guide corrective actions, and balance inventory efficiency with customer service. Oliveri’s expertise as a supply‑chain strategist underscores the practical steps planners can take to improve accuracy and profitability.