Demand Forecasting & PlanningCOO16 min read

How to Fix Capturing Events and Seasonality Impact on Demand Predictions in 90 Days for $10M–$100M Companies

Mid-market companies can redesign their demand planning workflows within 90 days to accurately capture seasonal demand cycles and promotional events. This blog outlines a structured roadmap for improving event-aware forecasting.

Why a 90-Day Fix Is Realistic

Companies in the $10M–$100M range often believe fixing demand forecasting requires a multi-year transformation. In reality, significant improvements can be achieved within 90 days by redesigning how seasonal demand cycles and promotional events are captured.

The goal is not perfection — it is structural correction.

Most mid-market forecasting issues are architectural, not data-related.

Days 1–30: Visibility and Baseline Separation

The first 30 days focus on gaining visibility into how seasonal peaks and promotional events currently influence demand.

Planning teams should separate baseline consumption from event-driven uplift across major SKUs.

  • Audit commercial calendars
  • Identify peak demand periods
  • Quantify historical promotional uplift
  • Segment SKUs by variability type
  • Measure forecast bias during events

Days 31–60: Structural Modeling

The second phase focuses on embedding event capture directly into forecasting workflows.

Commercial calendars should be integrated into demand projections.

Separate baseline demand from promotional uplift structurally.

  • Model baseline demand independently
  • Quantify seasonal uplift factors
  • Enable scenario-based projections
  • Align procurement lead times with peak demand
  • Reduce manual overrides

Days 61–90: Operational Alignment

The final phase ensures that improved demand predictions translate into procurement and inventory decisions.

Procurement strategies must reflect event-aware forecasts rather than historical smoothing.

  • Adjust safety stock based on variability type
  • Align purchasing cycles with event windows
  • Monitor service levels during promotions
  • Reduce emergency replenishment
  • Track working capital improvements

Expected Outcomes Within 90 Days

Companies that redesign event capture workflows often see measurable improvements within a single quarter.

  • Reduced stockouts during peak demand
  • Lower excess inventory during off-peak periods
  • Improved inventory turnover
  • Reduced emergency procurement costs
  • Improved working capital efficiency

Structural Fixes Deliver Fast Results

For $10M–$100M companies, capturing seasonal demand variability does not require enterprise-scale transformation.

With structured planning redesign, meaningful improvements in forecast reliability and inventory stability can be achieved within 90 days.

See how AI-native planning helps mid-market brands fix event-driven forecasting in 90 days.

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