Case Study: a global grocery retailer identifies 6.8% incremental sales with Retail Insight

Precise attribute modeling uncovers 6.8% of incremental sales

Retail Insight partnered with a global grocery retailer whose merchandising function lacked a consistent process to understand the key drivers of its financial performance. Decisions were based on individual experience rather than data, making it difficult to identify why variances from sales plans were occurring.

Retail Insight developed a highly predictive model using their Store Insight platform that explained 86% of sales variation without using historic sales data. This provided clear diagnostic scorecards that prioritized tactical actions and democratized insight across the business. The solution enabled the retailer to set achievable targets and identify incremental sales opportunities worth 6.8%.