What is Demand Sensing?
Step Change in Forecast Accuracy
Demand planning error for consumer products companies is shockingly high at close to 50%. The root cause is the use of time-series analysis of historical sales information. Historical sales are poor indicators of future sales in the best of times, but are particularly ineffective during volatile markets. So adding yet more statistical complexity or another year of historical data is just another wrong answer to the wrong problem.
Solving the problem requires access to current demand signals - including orders, shipments and other daily supply chain data. The net result - Demand Sensing reduces short-term forecast error by up to 40%.

Accuracy Where It Matters Most
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Typically 80% of the cost of goods sold (COGS) is associated with activities that take place within the next 6 weeks. Using better math to improve outcomes related to the bulk of the COGS makes good business sense. Demand Sensing mathematics are particularly well suited for the first 6 weeks, providing the biggest benefit for the bulk of the costs. Let the engine do labor-intensive analysis and free up planners to focus on more productive longer-term strategic activities. |
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Across Your Entire Business
Demand Sensing is effective across all products categories and locations:
- High velocity and low velocity items
- Promotions
- New product introductions
- National and global
- Modern trade and general trade
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