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Demand forecast

A demand forecast is an estimate or prediction of the quantity of a product, service, or resource that will be needed during a specified future period.

How 2 Manning books explain it

Demand Forecasting Best Practices

A demand forecast is a prediction of future demand for a product, service, or item over a specified period.

How it is used
Supports supply-chain decisions about purchasing, production, shipping, storage, and inventory.
How deep it goes
Defines unconstrained demand and distinguishes it from sales, supply plans, budgets, targets, aggregation, horizons, and bias.
Examples
Uses an ice cream truck to contrast predicted demand, constrained sales, replenishment, and recurring stockouts.
What you can do after
Evaluate/understand whether a forecast represents customer demand rather than a constrained plan, target, budget, or sales history.

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Machine Learning System Design

Demand forecasting is the process of estimating future demand for a product or service over a specified time period.

How it is used
Supports retail purchasing decisions by estimating demand per SKU per store before goods are delivered.
How deep it goes
Develops the problem through data selection, several baselines, and batch-serving plans rather than a detailed forecasting-algorithm derivation.
Examples
Uses a multi-store retailer, an item’s sales one week earlier, and progressively richer forecasting baselines.
What you can do after
Operate/configure it as scheduled batch forecasting with scalable jobs and checks on data, failures, and prediction accuracy.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.