Case Study: a large grocery retailer achieves 40% lower data management costs with ClearDemand

How one grocery retailer automated competitive pricing and assortment intelligence to reduce data management costs by 40% while increasing insights by 200%

The large grocery retailer faced significant challenges in managing competitive pricing and assortment data. Manually collecting and auditing this data required a team of eight analysts spending 40-50 hours per week, leading to high costs, slow reaction times, and an inability to use insights for strategic growth. They partnered with ClearDemand to automate this process and overcome these obstacles.

ClearDemand implemented its patented data collection and ML-powered product matching service to automate the retailer's competitive intelligence. The solution resulted in a 40% reduction in management costs and a 200% increase in data insights collected daily. This automation also led to a 10x reduction in data cleansing time, allowing seven of the eight data analysts to be repositioned into more valuable analytical roles, thereby increasing overall efficiency and decision-making speed.