Using Graph-Based Analytics to Create and Evaluate Retail Floor Sets
The Big Ideas
Planning a floor set is a complicated process that has been conventionally modeled from a combination of design direction and visual team decisions and has required marketing support, but it has rarely been driven by customer-centric purchasing data.
Applying graph-based analytics allows the detection of historical product affinities and identification of groups of strongly connected products that can help form a highly productive floor set.
Grouping SKUs that sell well together can help with placement, promotion, future product design, and, ultimately, inventory needs to