A Gravity AI capability

Personalization for the ecommerce experience

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
A personal Gravity AI product recommendation
Matched to the shopper's interests
Soft shapesLight tonesFor the living room

Personal choice

One query, different answers

The assistant starts from what it already knows and asks only for what is still missing.

Shopper 01

Browses lightweight sneakers in neutral colors

Assistant's answer

I will start with lightweight models for long walks, in gray and off-white.

ComfortNeutral colorsEveryday

Shopper 02

Looks at running shoes and likes bright accents

Assistant's answer

Here are running models with cushioning and bold color accents.

RunningCushioningBright colors

Why personalization pays

Easier for the shopper to choose, easier for the store to close the interest

For the shopper

Finds the right fit faster

No need to restate preferences on every visit
Sees the closer-matching options right away
Understands why a product made the list

For the store

Keeps the interest already shown

Carries context between visits
Uses shopper behavior in every conversation
Helps carry the choice through to a fitting product

How it works

Actions become sharper AI product recommendations

Gravity AI joins shopper behavior with the current request, with no separate questionnaire.

Shopper actions help refine the product selection

01

Notices the interest

Takes product views, wishlists, carts and purchases into account.

02

Reads the preferences

Finds recurring categories and the product traits that matter.

03

Sharpens the selection

Joins the known interests with the shopper's current request.

The details, briefly

What matters to know

Which shopper actions does Gravity AI use?

Product views, wishlist and cart additions, and purchases. Those actions show what matters to the shopper right now.

What happens when the shopper is still unknown?

Personalization starts from the first action. While data is thin, the assistant leans on the current request and asks only the necessary questions.

Does personalization carry between web and app?

Yes, if the store passes a single user identifier. Actions on either surface then add up into one shared context.

Which wins: past interests or the current request?

The current request always wins. Past actions help start the match more precisely, but they never lock the shopper into old preferences.

We will show personalization on your own products

We take a few products and show how one query turns into different shortlists, shaped by each shopper's interests.

Leave your contacts and a link to your store. We will pick a scenario and prepare a personalization example.