The company’s planners struggled with forecasting demand for new product introductions, relying on a manual process that consistently overestimated true demand and performed far worse than forecasts for the rest of the product portfolio. In the fast‑moving consumer packaged goods industry, even small gains in forecast accuracy can deliver major financial benefits, with studies showing that a one‑percentage‑point improvement can save millions in revenue. To address this issue, the company set out to improve forecast accuracy and reduce error by leveraging e2open’s AI technology, aiming to modernize its forecasting approach and achieve more reliable, data‑driven planning outcomes.

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