FERMÀT's agents analyze millions of sessions and make approved changes to the visit experience based on shopper intent.
The same person shops differently every time they arrive, shaped by the product, the audience, the channel, and the offer that brought them. Reading that intent and acting on it was out of reach before generative AI.
How FERMÀT works
FERMÀT agents connect behavior to intent across every channel and page, revealing why shoppers act and what they need next.
FERMÀT agents rank the changes most likely to recover missed revenue and keep each shopper moving toward a purchase.
Once approved, FERMÀT agents turn the top recommendations into brand-native experiences, and launch them across any page and surface shoppers see.
FERMÀT gives every shopper a relevant next step before they leave, turning each visit into more discovery, larger orders, and a scalable experience across the site.

Getting pixel data
Shopper lands on product page from Google Search
Up nextShopper returns to Google after viewing product page
Up nextShopper does not convert
Up nextRanking recommendations
Show similar products earlier in the PDP flow
Highest impactShow how people style the product
SecondShow alternate fits and washes before product details
ThirdMove styling cues and reviews above the fold
Fourth


Before: one product without recommended styles
Before
Experimentation today
With 
Closed-loop optimization
Experiments increase over time
Cost of experimentation goes down over time
Today’s leading retailers
deploy our agents for
Research

They already decided to buy, then left to re-search their way back in.

Shoppers from Google stayed nearly twice as long as those from Meta, across 10 brands.

One of three shopper patterns pulled from real pixel data across brands.
Customer stories
“At our scale, growth doesn’t come from plug-and-play tools; it comes from innovation partners willing to build alongside you.”


“We can now say you’re going to get a VIP-only offer via SMS, and that becomes a reason to subscribe.”


“With FERMÀT, once we reached full crawl coverage, we began seeing our AI-optimized content cited across AI models, like ChatGPT, within the first week.”


From insight to action in days, not quarters.
Detect patterns in shopper behavior. Recommend what to generate. Generate the path, then feed live signal back into detection. Automatically.
Explore the platform