Case Study: a leading supermarket company improves inventory accuracy and fulfillment with Algo

Improved inventory and fulfillment accuracy through enhanced visibility and process optimization

A leading supermarket company was facing high costs and low customer satisfaction due to inefficient warehouse operations. Incorrect orders were frequently being shipped, a problem exacerbated by a lack of employee-wide visibility and ineffective verification checks. To address these challenges, the company partnered with Algo to improve inventory and fulfillment accuracy.

Algo enhanced visibility by monitoring key KPIs like Order Picking Accuracy and Cycle Time, which revealed that 20% of inaccurate orders were going undetected. Their solution involved reallocating high-performing staff and implementing training programs. By optimizing these processes, Algo helped the company achieve a 20% increase in Order Picking Accuracy, a 12% decrease in Order Lead Time, and a 25% decline in the Rate of Customer Returns over six weeks.