Demand Forecast

How forecasting in retail works at SKU, store and DC level, why store forecasts break, and how to handle promotions, markdowns and stockouts.

Moving average, Holt-Winters, ARIMA and machine learning run on the same 104 weeks of demand. See which wins, where each breaks, and download the dataset.

Croston's method, SBA and TSB run on one sparse SKU, plus the ADI/CV² matrix for picking a method and the accuracy metrics that survive zeros.

The inventory turnover ratio formula, real benchmarks by industry, and the one lever that actually moves the number: forecast error. Worked example and free calculator.

Most demand models track twenty variables. A handful do the work. What demand drivers actually are, how to find yours, and why adding more data stops helping.

What demand planning is, how the cycle runs month to month, and how teams reach a touchless forecast. The process, the four KPIs, and the accuracy bar to clear first.

The safety stock formula explained with 6 calculation methods run on one example, a Z-score service level table, and the forecast error lever most guides skip.

A step-by-step guide to the S&OP process: the 5 steps, the week-by-week monthly calendar, who owns what, and how to grade your own S&OP maturity.

Demand sensing explained: what it is, the signals it uses, and a side-by-side comparison with demand forecasting across horizon, data and cadence.