M&S Deploys Lily AI to Enhance Product Discovery and Shopping Experience

M&S has deployed Lily AI’s Product Intelligence Platform to improve product discovery across Google Shopping and organic search, enhancing the online shopping experience.

Marks & Spencer (M&S) has partnered with Lily AI to deploy its Product Intelligence Platform to automate the creation of structured product data at scale. The implementation is designed to improve product discovery across Google Shopping and organic search, helping customers find more relevant products through richer, AI-powered product information.

The retailer is using Lily AI’s technology to automate product attribution and categorisation, significantly reducing the manual effort required to bring new products to market. By enriching its product feeds with AI-powered attributes, M&S aims to improve search visibility, increase click-through rates, and strengthen revenue from paid and organic search channels.

“Lily AI has become a core part of how we manage and scale our product content at M&S. From setting up new items to optimising for Google, the platform delivers across the board. It’s already making a measurable difference to our efficiency and our commercial performance,” said Stephen Orford, Head of Online Experience, M&S.

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According to the companies, the AI-powered platform helps ensure every product is accurately attributed, categorised and ready for customer discovery from launch. This enables shoppers to find more relevant products through search while reducing the operational effort required to manage product content across digital channels.

“In a world where your product feed is your storefront – on Google, in AI-powered search, and across every channel – the quality of your product content is a competitive advantage. Marks & Spencer gets that. And we’re proud to be their partner,” said Purva Gupta, Co-Founder and Chief Executive Officer, Lily AI.

The deployment reflects how retailers are increasingly investing in AI-powered product intelligence to improve product discoverability, deliver more relevant shopping experiences and strengthen digital commerce performance across search and ecommerce channels.

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