Forecasting accuracy isn’t failing because of bad data — it's failing because of something deeper: embedded bias. And it’s not always intentional. It creeps in through padded inputs, conflicting incentives, and misaligned assumptions that quietly distort the numbers supply chain teams rely on.
In this guide, senior supply chain leaders reveal how to address the root cause of forecasting failures and what it takes to build trust in the plan, across functions and systems.
Inside you’ll discover actionable strategies on how to:
Download the guide to see how today’s top supply chain teams are transforming forecasting into a more collaborative, accountable, and resilient process, even in times of uncertainty.