Shopper 01
Browses lightweight sneakers in neutral colors
I will start with lightweight models for long walks, in gray and off-white.
A Gravity AI capability
Gravity AI uses interests and past actions so shoppers find what they need faster, and the store keeps their interest alive between visits.
Request a demo
Personal choice
The assistant starts from what it already knows and asks only for what is still missing.
Shopper 01
Browses lightweight sneakers in neutral colors
I will start with lightweight models for long walks, in gray and off-white.
Shopper 02
Looks at running shoes and likes bright accents
Here are running models with cushioning and bold color accents.
Why personalization pays
For the shopper
For the store
How it works
Gravity AI joins shopper behavior with the current request, with no separate questionnaire.

01
Takes product views, wishlists, carts and purchases into account.
02
Finds recurring categories and the product traits that matter.
03
Joins the known interests with the shopper's current request.
The details, briefly
Product views, wishlist and cart additions, and purchases. Those actions show what matters to the shopper right now.
Personalization starts from the first action. While data is thin, the assistant leans on the current request and asks only the necessary questions.
Yes, if the store passes a single user identifier. Actions on either surface then add up into one shared context.
The current request always wins. Past actions help start the match more precisely, but they never lock the shopper into old preferences.
We take a few products and show how one query turns into different shortlists, shaped by each shopper's interests.