RETAILIGENCE’s Store Clustering solution helped this mega-grocery retailer to increase their top-line sales, reduce and optimise range
The challenges presented to RETAILIGENCE are :
- Increase top-line sales
- Reduce size of range
- Eliminate slow-moving lines & reduce large range tail
- Create customer focused ranges utilising customer decision trees
- No major management overhead
- Minimal impact on IT / business resources
Our intuitive clustering solution presented results in 3 weeks for 10 pilot stores.
- Double digit sales increase
- -25% range reduction
- Results landed in 3 weeks and deployed in stores
- No Business or Management Overhead
- No Conference Room Pilots or Requirement Sessions
- No integration design sessions
Supported by the RETAILIGENCE Machine Learning Engines, we helped set-up
- Manual processes using spreadsheets to implement Space Standardization and Planning
- Freed up space in all stores to introduce cafes, concessions and new categories
- Enabled agile range optimization process rather than static schedule
