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Root Cause Analysis: Inventory Forecast Errors That Shouldn’t Have Happened

By Glazix | June 4, 2025

Inventory forecast errors that repeatedly hit the same categories indicate more than data problems—they reveal deeper flaws in communication, process discipline, and risk tolerance. For glass distributors, forecasting must reflect market behavior, project cycles, and procurement agility—not just system-generated projections.

The Repetition: Under-Forecasting Fire-Rated Glass During Permit Season

Two years in a row, a distributor ran out of fire-rated glass during permit season, when construction schedules peak. Despite field feedback and customer history, the planning team underestimated demand by over 40%.

Contractors began sourcing from competitors, and two key clients switched distributors permanently.

Root Breakdown

Forecasting relied on annualized averages rather than seasonal trends.

The field service team flagged permit spikes, but data wasn’t fed into planning.

No priority stocking rules existed for code-mandated or long-lead items.

Business Fallout

Emergency air freight raised fulfillment costs.

Lost long-term accounts due to credibility damage.

Internal performance reviews showed gaps in cross-functional alignment.

Remediation Steps

Layered seasonal demand profiles into the forecasting model.

Introduced “permit season” SKUs with early stockpiling and buffer inventory.

Assigned a cross-functional team to meet quarterly and validate forecast assumptions.

Forecasting is a discipline that requires cross-functional insight. Distributors who link operations to field intelligence stop making the same mistakes twice.


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