Data science eases cross-selling on the shop-floor
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.
Data science made easy
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