At Shoptalk Europe 2026, you couldn't walk three feet without someone mentioning AI and product discovery. So, we did what any sensible Marketing team would do: pointed a camera at the smartest people in the room and asked them to explain it.

There were some big headlines... and not everybody agreed. Social selling is out... or is it? Agents are in. UGC is the new trust currency.

Why most product data enrichment fails in the age of agentic shopping – and how to create differentiation signals that actually work.

Product pages face inevitable performance decay without regular refresh cycles. This is especially true in today’s era of AI Search. Here’s everything you need to know about where to focus your copy updates, and why they matter.

You should be updating your product descriptions seasonally to see the best results. Here’s why.

For ecommerce teams, ChatGPT Atlas should ring alarm bells. The new AI browser can handle shopping all on its own. Does this spell revolution for the way we buy things online?

Savant London wrapped up last week with lots of insightful keynotes, productive meetings, and some seriously spicy turmeric shots. In case you missed the event or didn’t hear all the talks you planned to, we’ve done the decent thing and recapped all the key takeaways here. 

In this useful explainer, Ocula CTO Greg Fletcher uncovers what agentic AI is, how it distinguishes itself from other AI paradigms, its benefits, the challenges it poses, and what it could mean for the future of eCommerce.

2025 is set to be a seismic year for eCommerce. But which trends matter most? To help you pinpoint where to focus, here are 5 key predictions for eCommerce in 2025 – number 5 might surprise you.

AI is one of the most powerful technologies developed to date. Not only does it transform how businesses operate, but also enhances the services and products offered to customers to increase their relevancy and resulting customer retention.

Our study of 187 participants found that information about the sustainability of a product, in the form of a sustainability score, can have a significant impact on consumers’ buying behaviour. This research project sought to examine the potential effectiveness of providing consumers with a product-level sustainability score during their buying journey.

Recommender systems continue to evolve as new methods and algorithms are discovered, and more data is available, both in terms of volume and variety. In this paper we present an overview of the history of recommender systems, starting from precursors of recommendation engines, all the way to modern deep learning systems.