Personalization

Kingfisher Group

Independently reportedRetail & e-commerceUnited KingdomScaledEnterpriseClassical MLLive 2023

Independently reported. An independent or peer-reviewed source reports this result, alongside the vendor.

Reported by computerweekly.com (independent reporting). Checked against the source page on 2026-09-06. 1 of 1 figures below appear on that page word for word.

The problem

Customers wanting to buy a product online that is no longer in stock, affecting customer experience.

What was deployed

Products
Google Cloud's portfolio of AI tools, Vertex AI
Technique
Classical ML
Build or buy
Built in-house or to order
Deployment
Hybrid
Scale
across all of Kingfisher’s brands

What changed

Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.

more than 10%e-commerce sales originating from product recommendations

since B&Q became the early adopter of the technology, the brand has seen more than 10% of its e-commerce sales originate from product recommendations, according to the company’s own stats.

Quoted word for word from the source

From the basic algorithm to solve one problem, today we have 10 different recommendation algorithms that try to help the customer journey in different ways by offering [serving customers information about] frequently bought together products and personalised recommendations
Mohsen Ghasempour, Group AI Director at Kingfisher

Difficulties and limits

Sources

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