One Stop Stores has further evolved its localisation credentials with the adoption of “behavioural clustering”.

The Tesco-owned convenience store chain has gone live with Relex Solutions’ technology that helps build store-specific planograms as the next step in the development of what it calls its customer-centric strategy.

The deployment is also designed to drive efficiencies across its stores.

Behavioural clustering helps One Stop understand localised variations in customer preferences on a product category-by-category basis and build more accurate shopper profiles across clusters of stores and at individual store level.

This helps to better align product mix and space to customer demand across its stores.

Mervin Nugent, senior space/range and systems manager at One Stop Stores, said customers sat firmly at the heart of everything it did and the group felt it must provide local communities with the products they wanted.

“We have built a long standing and strong partnership with Relex and have experienced great success from it. Not only are we able to improve the in-store shopping experience and build customer loyalty, we’re also becoming more efficient and maximising sales,” he added.

Relex says the implementation of behavioural clustering helps One Stop move from manual to automated processes to enable retailers understand shopper behaviours for each cluster.

It will identify store clusters with a high variation of localised assortment and that information provided will determine future strategies for merchandising, assortment, pricing, marketing and seasonal and promotional decision making.

“We needed to gain control over the space and inventory at every store and create targeted space and assortment recommendations in every category within each store in line with our customer’s expectations,” said Nugent.

Ian Duncan-Lewis, Relex Solutions’ managing director, said behavioural clustering was “a natural step” to push further One Stop’s customer-centric vision and drive maximum value for all of its stores.