Case Study
Scenario-Driven Demand Forecasting and S&OP Consensus Planning for a Global Precision Manufacturer
Baseline Forecasting, What-If Scenario Analysis, S&OP Consensus Push, and Multi-Division Planning across a global SKU portfolio
Industry: Precision Manufacturing
Flows: Multi-Division Demand Planning
Complexity: 24 Machines · 2 –Shift Operation
Scale: Legacy Systems and Manual Processes.
Impact At a Glance:
~30% | 3× | ~22% | ~18% |
|---|---|---|---|
Forecast Accuracy Improvement.MAPE improvement across product lines and divisions | Faster S&OP Consensus Cycle.From multi-week manual rounds to structured review | Excess Inventory Reduction.Driven by scenario-informed demand shaping | Stockout Event Reduction.After consensus forecast adoption across divisions |
BACKGROUND & SITUATION
The Operating Environment:
A global precision manufacturer operates across multiple product divisions with distinct demand profiles. Some product lines are influenced by seasonal cycles, enterprise refresh programmes, and distributor stocking patterns. Others are driven by end-market production schedules and raw material availability, while certain categories are shaped by project-based procurement and long cycle tender processes.
With thousands of active SKUs across three divisions and a global distribution network, the company's planning team struggled to reconcile statistical forecasts with commercial, marketing, and supply realities within a single S&OP process. Multiple versions of forecasts existed in parallel with no structured mechanism to evaluate the impact of demand drivers or push a validated consensus plan to execution.
TRIGGER FOR CHANGE:
The Need for Change:
The client engaged Enmovil to deploy a scenario planning and demand forecasting platform that would connect statistical baseline forecasts with structured what-if scenario analysis enabling the S&OP team to build, compare, and push consensus plans with full traceability.
THE CHALLENGE:
Key Barriers to Operational Excellence:
Compounding operational barriers across the planning workflow that slowed cycles, eroded service, and inflated cost.
