͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­
͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­ ͏ ‌     ­
 
 
 

Did you know the first thing sold on the internet was a Sting CD? It was his album Ten Summoner’s Tales and it was bought by a guy who paid $12.48 (plus shipping) back in August 1994. It was also the first secure online retail transaction using credit card encryption.

And he was probably just as annoyed about shipping costs as you are today.


In this edition of The Exchange Notes, it’s all about shoppers and what they want from the companies they’re buying from. We’ve got research on shopping trends, buyer behaviors and an awesome set of tips on how to fix everything from reducing cart abandonment to making a non-annoying chatbot.

After all, isn’t all business just shopping?

 
 
The State of AI in Retail Experiences
We ran a massive survey asking both retailers (n=89) and shoppers (n=1107) about how they are adapting to the new world of AI-powered shopping.
The retailers told us which AI-powered shopping features had the biggest impact, and what they were investing in building this year.
The shoppers in turn, told us which AI-features they found the most helpful.
Spoiler alert, those two answers did NOT line up.
 
Report cover
 
 
 
 

Turns out, the number one thing most shoppers want is for AI to help them search and find the products they’re looking for more efficiently. Retailers on the other hand are investing big in customer support.

Now there’s no doubt everyone loves better customer support. But our data shows retailers might have a blind spot when it comes to prioritizing what shoppers actually want.

If you’re a CX executive building a retail experience in 2026, this is one research report you can’t afford to ignore.

Other findings include:

  • 69% of retail CX teams say at least half of their AI-powered experiences need substantial revision after launch.
  • Retail teams use AI most for research synthesis (66%)—but only 36% use it to prototype or create visual assets.
  • The biggest digital purchase drop-off is product detailadd to cart (31.5%).
  • Only 5.2% of shoppers say they trust AI-powered recommendations most when deciding what to buy.
 
 
 
 
Guide: Designing AI Shopping Experiences Customers Actually Trust
This very practical guide shows eCommerce and digital leaders how to design AI-powered shopping experiences that customers understand, feel confident using, and actually come back to. Learn how to close the trust gap, prepare for agent-to-agent commerce, and use real human insight to turn AI from a risk into a competitive advantage.
 
Report cover
Read the guide
 
 
Report cover
 
When AI does the shopping, who does it choose?
What happens when I ask my AI to buy from your AI? AI agents are already buying products on behalf of consumers — comparing options, negotiating prices, and checking out without a click. This article explores how agent-to-agent commerce changes brand visibility, loyalty, and trust — and what happens when algorithms decide who wins.
Read the article

 
 

If AI keeps giving you “meh” research outputs, this is for you.

In this live workshop with UserInterviews, you’ll learn how to guide AI like a pro. 

Led by Kaleb Loosbrock (the Founder of the AIxUXR discord community,) you’ll get the best tips on structuring context, tuning responses, and using real research examples to turn raw inputs into insights you’d actually share with stakeholders.