Fuel your decision engine with the right demand signal and stress-test it against reality. We combine classical statistical methods with modern ML techniques to generate clean baseline forecasts. Beyond forecasting, we provide "Multi-Scenario Simulation" capabilities, allowing you to run concurrent "What-If" analyses. Instantly quantify the financial impact of raw material shortages, demand surges, or new tariffs so you can build a plan that is not just accurate, but resilient.

Key Benefits

✓Run concurrent "What-If" scenarios to test strategic decisions
✓Improve forecast accuracy by automatically selecting best-fit algorithms
✓Capture complex seasonality and cyclical patterns
✓Quantify the P&L impact of supply chain disruptions before they happen
✓Reduce safety stock buffers by narrowing the gap between forecast and actuals

Use Cases

•Simulating the impact of raw material shortages or price hikes
•Generating robust baseline forecasts for monthly S&OP cycles
•Short-term demand sensing to adjust production schedules dynamically
•Forecasting for New Product Introductions (NPI) with limited history
•Strategic capacity planning based on long-term trend projection

Implementation Approach

We start by ingesting your historical sales, shipment, and order data into our secure platform. We incorporate external regressors and perform automated data cleansing to refine the signal. Then, we configure the simulation engine to allow your team to create and compare multiple future scenarios—enabling you to make decisions based on financial probabilities, not just gut feel.

Demand & Scenario Planning

Key Benefits

Use Cases

Implementation Approach

See What WonForge Finds in Your Data