Case Study: SLA Conneting Food achieves 1% demand deviation with Qlik Predict

Predictive AI cuts production to demand deviation to just 1% for SLA

SLA Conneting Food, a German food-industry solutions provider, needed a better way to align production with daily customer demand, reduce waste and downgrade rates, and improve sustainability outcomes for a high-end food producer. Using Qlik Predict, SLA worked to enhance forecasting accuracy and support planners without replacing their expertise.

Qlik trained the solution on historical order data and other factors such as weather, store size, delivery locations, and holidays, enabling more targeted production planning. The results were strong: demand deviation fell to just 1%, the implementation took only two weeks, and the customer saw major savings from less storage, fewer downgrades, improved sales, and better environmental and animal welfare performance.

SLA Conneting Food

Alexander Engel

Head of Business Intelligence