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

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