In a retail world where diversity of manufacturers goods often exceeds retailers’ ability to allocate those goods in their stores, assortments have to satisfy consumer demand by keeping space constraints into account.
Assortment definition and update are hampered by input data complexity and diversity (performance, store space, clusterization, etc.) and by unstandardized and complicated rules.
JDA Assortment Optimization is a flexible solution to manage and maintain space-aware assortments based on performance data and business rules; it allows to clusterize stores according to geography, store size, consumer type, to the desired level of granularity. Powered with advanced data acquisition and integration features, it provides easy-to-use assortment selection, ranking and filtering rules.