Demand Forecasting#
Predicting future demand to guide inventory and production.
Important
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What it is#
Demand forecasting predicts future customer demand for a product from historical sales, market signals, seasonality and known upcoming events. It is the foundation of inventory planning — nearly every replenishment decision depends on it.
How it’s done#
Methods range from simple baselines (moving averages) to time-series models (ARIMA, exponential smoothing, Prophet) and ML; what matters is capturing trend, seasonality and demand variability (its standard deviation), not just the average.
Why accuracy matters#
Forecast error propagates downstream — the reorder point and safety stock are both sized from the forecast, so a biased or noisy forecast either starves shelves (stockouts) or bloats inventory (holding cost). Better forecasts shrink the safety buffer needed for a given service level.
Theme: Operations & Supply Chain · All terminology
Hint
Mind map — connected ideas
Reorder Point (ROP) Optimization · Safety Stock · Time Series Forecasting · Forecast Error · Stockout Rate · Long Lead Times
Hint
More in Operations & Supply Chain
Backorder Rate · Crew Overtime · Fill Rate · Long Lead Times · Long-Tail Items · Lost Sales Value · Overstock % · Real-Time Inventory Tracking · Reorder Point (ROP) Optimization · Safety Stock · SKU · Slow-Moving SKUs · Stockout Rate · Stockouts
See also
Source article Adapted (context, re-expressed) in our own words from: Demand Forecasting (insightful-data-lab.com).