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One number forecast

As explained in Demand Forecasting Best Practices

A one number forecast is a single forecast shared by stakeholders across a supply chain for coordinating their decisions.

A one number forecast gives stakeholders across a supply chain one shared demand forecast for coordinating decisions. The goal is to connect actions such as marketing launches, inventory positioning, production, and logistics. section 7.0

Different information needs can be served by mechanically aligning forecasts through top-down, middle-out, or bottom-up approaches. This creates clarity, but a single forecast may not suit every material, time horizon, or business process. section 7.2

A one number forecast creates several practical trade-offs:

  • Efficiency suffers when teams repeatedly align thousands of SKU forecasts across many future periods. section 7.2
  • Optimality suffers because the best model at one material or temporal granularity may not be best at another. section 7.2
  • Alignment is not guaranteed: teams may agree on a shared number while continuing separate internal forecasting work. section 7.2

Different decisions, different useful forecasts

A manufacturer may need a long-term monthly forecast by raw material for production and supply, while logistics needs a daily distributor forecast incorporating promotions and shortages. Both forecasts can support their processes even when their numbers differ slightly. section 7.2

One number mindset offers an alternative: align stakeholders on shared assumptions, data, and demand drivers rather than forcing every team to use identical SKU forecasts. Teams can retain appropriate processes and granularity while sharing reconciled demand, pricing, master data, and information about events. Forecasts should remain accessible and significant deviations should be investigated. section 7.4

How Demand Forecasting Best Practices covers it

How deep it goes
Defines reconciliation and its trade-offs, then contrasts forced uniformity with one number mindset.
Examples
Uses product launches, SKU alignment, and distinct production and logistics forecasts to illustrate coordination and granularity.
What it assumes
Assumes familiarity with supply-chain stakeholders, demand forecasting, forecast granularity, and cross-functional planning.
What you can do after
Evaluate whether shared forecasts or aligned but distinct forecasts better support stakeholder decisions and operating granularity.
How it connects
Connects supply chain management, forecast reconciliation, sales and operations planning, demand forecasting, and one number mindset.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Demand Forecasting Best Practices. The section links point to the parts of the book it draws on.