Adobe finds AI shoppers generate 83% more revenue per visit. Google and NielsenIQ tackle product discovery, Salesforce enables AI checkout, and Etam accelerates development.
Adobe reveals how much AI-referred shoppers are worth, Google teams up with NielsenIQ, and Salesforce brings checkout into AI search. Everything worth knowing in AI Commerce in 2 minutes:
Adobe's latest research shows that visitors referred by AI tools generated 83% more revenue per visit than other traffic to US retailers in September. Conversion rates were 90% higher.
Why it matters: AI discovery is becoming a commercially valuable acquisition channel, not just another source of traffic.
Google and NielsenIQ announced a partnership to improve AI shopping recommendations using product and retail intelligence. The collaboration aims to connect Google's Shopping Graph with NIQ's data covering more than 250 million products.
Why it matters: Accurate product information and local availability could increasingly determine which brands AI recommends.
Salesforce Commerce Cloud now supports Google's Universal Commerce Protocol. Merchants can enable purchases directly through Google Search and Gemini while remaining the merchant of record.
Why it matters: Brands gain another path to conversion without requiring shoppers to complete the traditional storefront journey.
Read Salesforce's announcement →
French fashion group Etam is moving its brands, including Etam, Maison 123 and Undiz, to commercetools. The company reports that an eight-week pilot using AI-assisted development increased development velocity by 70–80%.
Why it matters: Faster development could significantly improve the economics of enterprise replatforming and ongoing commerce innovation.
Read commercetools' announcement →
Adobe analyzed over one trillion visits to US retail websites.
Its conclusion is striking: shoppers arriving from AI tools generated 83% more revenue per visit than other visitors in September.
But that doesn't mean AI caused them to spend more.
These shoppers may have already compared products, researched alternatives and made their decisions before clicking through.
AI is potentially doing part of the selling before customers reach your store.
There's another interesting finding.
Adobe's research suggests that much of today's retail website content remains difficult for AI systems to interpret.
For fashion and beauty brands, this creates a new commercial challenge.
Beautiful product photography is no longer enough.
Materials, sizing, ingredients, availability and delivery information need to be understandable to both humans and machines.
The next conversion battle might start before anyone visits your website.
Check whether AI understands your products.
Find one missing or incorrect product detail and make it easier to discover.
DEAISY
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