Orchestrating online and in-store sales is a major challenge for most retailers. Within the broader context of its digital transformation, Distriplus took a closer look at its customer buying patterns to detect cross-selling opportunities. Basically, the retailer applied data science techniques to identity products that are most often bought together. From there, it was able to define a series of ‘most frequent shopping baskets’. These insights, translated into practical tips, are now used to train staff on the shop-floor. Cross-selling while improving customer service.
The ‘frequent shopping baskets’ insights , translated into sales tips for staff on the shop-floor, generated extra sales revenues after just a few days.
Though the transfer from raw transaction data to shopping patterns requires very specific skills, the results of the exercise were made very understandable and actionable for the employees