Case Study: Global Manufacturer Transforms Demand Forecasting with IBM Planning Analytics
How a $2.4B manufacturer went from 58% forecast accuracy to 92% — and eliminated $18M in excess inventory — in two quarters.
The Client
A $2.4 billion global industrial manufacturer operating four business units across North America, Europe, and Asia-Pacific. The company manages over 8,400 active SKUs through a multi-tier distribution network serving OEM, wholesale, and direct-to-consumer channels.
The Challenge: Disconnected Planning Was Costing Millions
The company’s demand planning process relied on a patchwork of regional spreadsheets, emailed updates, and quarterly planning cycles that couldn’t keep pace with market volatility. Each of the four business units maintained its own forecast in isolation, with no visibility into cross-divisional demand patterns or shared capacity constraints.
The consequences were measurable:
- Forecast accuracy at 58% — well below the 80% target needed for efficient production scheduling
- 45-day planning cycle meant forecasts were outdated before production even started
- $142M in inventory — $23M above optimal levels in raw materials and finished goods
- No demand signal integration from key retail and distribution partners
- Supply planning disconnected from demand — production schedules based on last quarter’s actuals, not forward-looking demand
The VP of Supply Chain Planning put it bluntly: “We were planning next quarter based on what happened last quarter. By the time we adjusted production, the market had already moved.”
The Solution: Integrated Demand & Supply Planning on IBM Planning Analytics
ForQuest deployed ProfitCy® S&OP Planning — a pre-built demand and supply planning model on IBM Planning Analytics — configured for the client’s four business units, 8,400+ SKUs, and multi-tier distribution network.
The implementation took 12 weeks from kickoff to production.
What ForQuest built:
- Statistical demand forecasting with automatic seasonal decomposition and trend detection across all SKUs
- Consensus planning workflow connecting Sales, Operations, and Finance in a single TM1 model with role-based input templates
- Capacity-constrained supply planning that balances demand signals against production capacity, lead times, and safety stock targets
- Weekly rolling forecast replacing the quarterly cycle — automated refresh from ERP actuals via TurboIntegrator
- PAXcel™ Excel reports giving regional sales managers real-time demand visibility with write-back capability — no VPN required
- Demand-to-supply bridge connecting the demand plan directly to production scheduling and procurement planning
Why ProfitCy® Made the Difference
Traditional consulting approaches would have required 6-9 months to design, build, and deploy a model of this complexity. ProfitCy® S&OP Planning provided a production-ready framework that eliminated 70% of the build effort:
- Cube structures for demand, supply, inventory, and capacity were pre-built
- TurboIntegrator processes for ERP data loading were pre-configured
- Planning Analytics Workspace dashboards for consensus review were ready to customize
- Rules and feeders for statistical forecasting were proven across previous manufacturing deployments
ForQuest’s consultants focused their time on what mattered — configuring the model for the client’s specific product hierarchies, distribution channels, and capacity constraints — instead of building commodity infrastructure from scratch.
The Results: Measurable Impact Within Two Quarters
34% Forecast Error Reduction
SKU-level forecast accuracy improved from 58% to 92% within two quarters of go-live. Statistical decomposition identified seasonal patterns that the manual process had consistently missed, and weekly refresh cycles meant forecasts reflected current demand signals rather than 45-day-old assumptions.
$18M Excess Inventory Eliminated
Better demand signals and capacity-constrained planning reduced raw material and finished goods inventory by $18M — from $142M to $124M — without a single stockout on priority SKUs. Safety stock levels were right-sized based on actual demand variability rather than blanket coverage rules.
45-Day Planning Cycle → Weekly
The quarterly 45-day planning cycle was replaced with automated weekly rolling forecasts that refresh from ERP actuals every Monday. Regional sales managers submit demand adjustments through PAXcel™ in Excel — no training required, no VPN, no IT tickets.
Cross-Divisional Visibility
For the first time, all four business units plan from the same model. Shared capacity constraints are visible across divisions, and the demand-to-supply bridge ensures production scheduling reflects consolidated demand rather than siloed forecasts.
The Client’s Perspective
“ForQuest didn’t just give us a forecast model — they gave us a planning system that connects demand to supply to finance. For the first time, our S&OP process actually drives decisions instead of documenting them after the fact.”
— VP of Supply Chain Planning
Technology Stack
- Platform: IBM Planning Analytics (TM1)
- Planning Model: ProfitCy® S&OP Planning
- Excel Connectivity: PAXcel™ Web Add-In
- Data Integration: TurboIntegrator (ERP, POS, distributor feeds)
- Dashboards: Planning Analytics Workspace (PAW)
- Implementation Timeline: 12 weeks
Ready to Transform Your Demand Planning?
If your organization is still running demand forecasting on disconnected spreadsheets and quarterly cycles, ForQuest can help. ProfitCy® S&OP Planning deploys in 12 weeks with pre-built models purpose-built for manufacturing, CPG, and retail.
Book a Demo → | View S&OP Planning Module →
ForQuest Solutions is a specialized IBM Planning Analytics (TM1) consulting firm based in Wake Forest, North Carolina. We deliver enterprise planning solutions across financial, supply chain, sales, and workforce planning for Banking & Financial Services, Retail, Manufacturing, CPG, and Franchising.
