Know if your product will sell
before you launch it.
Any shelf in minutes. Real shoppers, honest evidence.
Photograph any shelf. We rebuild it as a walkable 3D store in minutes. Real shoppers walk it from their laptops, AI shoppers stress-test it at scale, and you see what gets noticed, considered, and chosen.
See a demor = 0.91 across 800+ consumer tests.
Four steps from photo to decision.
No store bookings. No printed prototypes. Just a browser, your assets, and your shoppers.
Photograph a shelf
Pick your question
Preview with AI shoppers
Invite real shoppers
No file? You can also build a shelf by hand.
AI shoppers are a preview. Decisions rest on real shoppers.
Real shoppers. AI scale.
We record every gaze, hesitation, and pick as real shoppers move through the virtual store. AI shoppers built from behavioral profiles then scale those observations to hundreds of sessions, giving you statistical confidence that surveys cannot match.
"In a typical study, shoppers gravitate to eye-level and reach-level shelves: the bottom shelf is the last place their attention goes, regardless of price."
That's the kind of insight legacy tools simply cannot give you.
Behavior, not opinion.
Surveys capture what people say. TestCart captures what they do: where their eyes go, what they reach for, what they put back. Webcam eye tracking and interaction data, on a normal computer, no headset required.
Days, not weeks.
No store bookings, no panel logistics, no printed prototypes. Launch a study in the browser and get decision-ready results in days. Add AI shoppers built from behavioral profiles to reach hundreds of sessions at near-zero marginal cost.
Defensible decisions.
Attention share, pick-up rate, and purchase intent per product, with A/B significance. Walk into a retailer negotiation or an NPD gate with data, not a hunch.
Grounded in behavioral science.
r = 0.91 across 800+ tests. Webcam eye tracking, no headset. Decision-grade gate at 18 real visits.
Why teams pick TestCart
Any shelf from a photo in minutes.
Behaviour, not opinion.
Real and AI shoppers, never blended.
Reports that say when not to act.
What you can answer
The questions a mock store or a survey cannot answer with confidence.
Will my pack get noticed?
See where real shoppers look first, and whether your pack wins attention against the competitors already on the shelf.
Which version wins?
Test two shelves side by side and watch demand shift. Find the version that wins before you go to market.
Where should my product sit?
Track where every choice comes from. Know which position on the shelf drives pick-up, and at what cost.
What we will not do
We do not predict sales volume.
We never merge real and AI results into one number.
We do not claim eye-tracking precision beyond what a webcam supports.
Who it is for
Brand insight teams validating packs and placement.
Pack designers who want behaviour, not opinions.
Agencies running shelf studies for clients.
Retailers benchmarking private label before it reaches the floor.
Stop launching in the dark.
See how your next product performs on the shelf before you build it.