Case Study: Candymaker reduces stockouts with e2open demand sensing AI

Candymaker improves demand forecasting daily with e2open to reduce stockouts

The customer, Candymaker, an iconic candy and snacking brand, struggled with volatile demand, cumbersome manual processes, and a lack of visibility into changing demand patterns. This led to missed opportunities for timely corrective measures. To address this, they turned to e2open and implemented its Demand Sensing Artificial Intelligence (AI) solution.

With e2open's solution, Candymaker gained the ability to identify causal demand signals and automatically generate highly accurate daily forecasts. This allowed them to preemptively adjust their supply, resulting in a significant reduction of stockouts and ensuring their products remained on store shelves.

Candymaker