Demand Forecasting & PlanningCOO22 min read

How to Fix Planner Coding: Capturing Unforeseen Events in Forecasting in 90 Days for $10M–$100M Companies

A 90-day roadmap for $10M–$100M companies to improve how unforeseen demand variability is captured within forecasting workflows.

Planner Coding Can Be Improved

$10M–$100M companies frequently rely on manual planner coding to reflect unforeseen demand variability driven by marketing campaigns, competitor disruptions, assortment changes, or supply constraints.

Override practices implemented without structural logic may introduce procurement volatility across planning cycles.

Fragmented overrides increase planning risk.

Month 1: Classify Demand Events

Planning teams should categorize unforeseen demand variability into structural event types such as promotional uplift, assortment changes, or competitor disruptions.

Overrides can then be applied consistently across product hierarchies.

Month 2: Separate Baseline and Uplift

Baseline consumption should be modeled independently from uplift associated with unforeseen events.

This improves forecast stability across planning horizons.

Month 3: Align Procurement Timing

Supplier lead times must be mapped against event windows.

Manual overrides applied too late may fail to influence procurement timing.

Lead-time alignment improves service levels.

Scenario-Based Evaluation

Planning teams should evaluate alternative demand trajectories tied to potential events.

Procurement strategies align with anticipated consumption patterns.

Inventory Investment Stability

Structured event capture reduces working capital volatility associated with override-driven procurement cycles.

Financial planning becomes more predictable.

Planner Productivity

Override maintenance workload declines as planning teams evaluate structured demand scenarios.

Strategic decision-making improves.

Planning Within 90 Days

For $10M–$100M companies, improving planner coding practices within a 90-day roadmap ensures accurate capture of unforeseen demand variability.

Override practices must evolve into structured scenario evaluation mechanisms to maintain forecast reliability and inventory alignment.

Improve override practices within 90 days.

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