Why Traditional Demand Planning Falls Short
Most companies still forecast demand using a combination of historical shipments, seasonal indices, and manual overrides from sales teams. This approach has three critical flaws:
- 1.Lagging indicators only. Historical orders tell you what already happened, not what is changing. By the time a trend shows up in your 13-week moving average, you have already missed weeks of opportunity or built weeks of excess inventory.
- 1.Siloed data. Marketing knows about an upcoming promotion, weather services know a cold snap is coming, and social media is buzzing about a competitor recall — but none of these signals reach the demand planner's spreadsheet until it is too late.
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What you'll learn:
- Identify the limitations of traditional demand planning methods
- Understand how AI ingests multi-source demand signals
- Recognize the business impact of forecast accuracy improvements