Media Markt (Europe)
Panda (Middle East)
Pick n pay (Africa)
Esselunga (Italy)
GPC (USA)
HEB ( USA)
Amongst the many problems the retailers have been facing, the most negatively impactful are: Aligning Merchandise Hierarchy & Promotions to Suppliers instead of to Customers Using pre-determined CDTs instead of extracting them from customer basket data Using a ‘Russian Doll’ style clustering and ranging approach.
Powered by a combination of product, customer and business intelligence, Retailigence’s, cloud-based set of ML applications are easy and cost-effective to deploy and will complement your existing solutions with minimal technical impact. Retailigence’s suite of AI enabled solutions uses a disruptive approach that now makes it possible to create a quick win differentiator.
Deploying these solutions drives a retailer directly from a basic (or intermediate) process to a cutting edge one. RETAILIGENCE Clustering and Assortment and other solutions are: