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Most organizations blame their demand forecast when they encounter stockouts or excess inventory. On the surface, that explanation sounds logical. In reality, however, many so-called forecast failures are actually policy failures hidden inside planning systems. When replenishment rules, safety stock policies, and operational incentives are poorly designed, even the most sophisticated forecasting models will appear inaccurate. Conversely, when those policies are corrected, forecast performance often improves without changing the algorithm at all. This webinar reframes demand forecasting from a broader systems perspective, shifting the conversation away from chasing better statistical models and toward the operational realities that drive planning outcomes. Specifically, we examine how inaccurate actuals, fragmented master data, misaligned organizational incentives, inconsistent safety stock policies, and weak governance structures quietly introduce volatility into supply chains. By understanding these structural drivers, organizations can address the root causes of forecasting instability and build a more reliable planning environment without relying solely on increasingly complex algorithms.

Video: https://www.elevatiq.com/events-and-webinars/demand-forecasting-vs-reality-what-erp-buyers-must-fix-first/

Questions for Panelists?
🔗Sam Gupta: linkedin.com/in/samguptausa/
🔗Sharon Custer: https://www.linkedin.com/in/inventoryoptimizationpro/

Background Soundtrack: Away From You – Mauro Somm

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