United KingdomRetail and e-commerce2024 – ongoingWolseley UK
Bloomreach Loomi AI segmented product search and recommendations
Wolseley's segmented search customers had 25% higher average order value, according to Bloomreach
Problem
Wolseley's Solr search required hundreds of manually maintained rules. It struggled to distinguish the product needs of different trades.
Approach
Wolseley deployed Bloomreach Loomi AI to interpret technical queries and rank products for customer segments. The team introduced trade segments in phases and monitored purchasing behaviour. It subsequently put recommendations into use beyond search.
Results
Takeaway
The reported commercial gains applied to segmented customers. Bloomreach did not disclose the measurement period or experimental design.
Categories
- Industry
- Retail and e-commerce
- Business function
- Marketing and sales
- Innovation type
- Process innovation
- AI technology
- Recommendation and personalization
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
Bloomreach described replacing manual search rules with AI ranking tailored to trade segments. It reported 25% higher average order value and a 9.6-percentage-point conversion-rate increase among segmented customers.
Full details are in the original sources.
