Demand Planning Accuracy Sprint
A focused sprint to improve the demand planning process, its inputs, and how accuracy and bias are measured, so the plan becomes one the business trusts.
Symptoms we hear
- Forecast error is high and nobody can say which inputs cause it
- Sales overrides add bias rather than insight
- Planners spend their week building numbers instead of reviewing exceptions
- Safety stock is padded because nobody trusts the forecast
Financial impact
- Balance sheet
- Safety stock and total inventory
- P&L
- Lost sales and expedite cost
- P&L
- Obsolescence and markdowns
Best for: Businesses with nascent or low-accuracy demand planning.
Our approach
Assess
Measure accuracy and bias at the level decisions are made: SKU, location, and lag.
Design
Redesign the consensus process, override rules, and exception-based review.
Implement
Coach planners on the new rhythm and publish accuracy reporting that drives action.
Deliverables
- Forecast accuracy and bias baseline (by SKU, family, lag)
- Input and override governance
- Exception-based planner workflow
- Accuracy dashboard and monthly review cadence
Start with a 30-minute discovery call
Tell us the problem. We'll tell you how we'd size it, what we'd look at first, and whether a focused engagement makes sense. No obligation.
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