Leigh Helsel, Vice President Retail Strategies, ICC and Lee Hong, Data Scientist, ICC
In a retail setting, a floor set is not only a way to showcase the brand, but also provides customers with a summarized view of the product landscape as seen in the retailer’s mind.
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.
In this webinar, we will take a look at a method of analyzing customer purchase histories using graph-based analytics. We will provide an overview of storing data as graphs and demonstrate how affinities among products can be detected to make decisions on which products are best displayed together.
Join us to learn how to optimize retail floor sets with graph-based analytics and avoid unnecessary reactive movement of product.