Retailers are typically leaking 3-5% of total sales due to poorly tailored ranges and store operational issues. A major cause is the inability to use insight from the vast amount of detailed sales data to identify exactly what customers want, and how to achieve this.
RETAILIGENCE uses the latest machine learning algorithms to find the patterns and exceptions in customer shopping behaviour and make this insight available through easy to use dashboards supported by strong business processes.
The result is that customers find a relevant range in the store that is correctly displayed and presented. The business outcome is happy customers and improved sales.
Our store clustering, assortment optimisation and space modeller modules ensure optimal range and space by store and by category. A great category plan however will only deliver its potential if it is executed accurately in each store and continuously monitored.
Our X-RAY HUB uses the same machine learning logic to identify issues in its execution helping both Head Office and Store staff to quickly pinpoint issues in a prioritised way and resolve them to avoid lost sales.