Introduction
Sales forecasts are notoriously optimistic, operations plans are cautious, and the two rarely meet. This disconnect causes excess inventory, lost sales, or both. ERP provides a structured Sales & Operations Planning (S&OP) process that brings data – not opinions – to the table.
The Real-World Problem
A fashion accessories brand produced seasonal collections. The sales team’s forecast was 20% higher than actual demand three years running, yet operations built inventory anyway. Each season ended with heavy discounting of leftover stock – erasing 30% of gross margin. The two departments met quarterly but never agreed on a single number.
How ERP Solved It
With a unified ERP, the company implemented a formal S&OP cycle. Steps included:
- Demand history in ERP: The system aggregated actual shipments and order backlog to create a statistical baseline forecast.
- Collaborative review: Sales, marketing, and operations reviewed the same ERP data in monthly meetings, adjusting for promotions and new product launches.
- Constraint-based supply plan: ERP matched the demand plan to production capacity and material availability, flagging gaps.
Improved Result
Forecast accuracy improved from 60% to 85% within one year. End-of-season inventory write-downs fell by 70%. Gross margin rose by 8 points. The CEO reported, “Now sales and ops argue over tactics, not numbers. The ERP says what’s possible.”