A crowd of shoppers with phones, an AI that never blinks, and a simple question retail has never been able to answer cheaply: what does my shelf actually look like right now?
There is a gap in retail that costs a fortune and almost nobody measures. It is the gap between the planogram - the tidy diagram of where every product is supposed to sit on the shelf - and the shelf itself, in an actual store, on an actual Tuesday, where a display got knocked over, a price tag is wrong, and a competitor quietly took your facings. Brands know this gap exists. What they have historically lacked is a cheap, fast, honest way to look at it.
Hetal Retail, founded in 2023 and headquartered in New York, is a bet that the way to close that gap is not a fleet of fixed cameras or an army of professional auditors, but the several hundred people already standing in the aisle: shoppers. The company calls them Hetalites. They reserve store sessions on a mobile app, film 15 to 60 second videos of designated aisles during a normal shopping run, and earn roughly ten dollars a session - about a dollar a minute. The footage feeds a computer-vision and generative-AI system that reads the shelf: what is missing, what is mispriced, what is out of place, and whether the display matches the plan.
This is a pleasingly literal business. Most AI companies promise to replace humans; Hetal keeps the human in the loop and makes them the sensor. The economics are the punchline. A traditional manual store audit runs something like eight to ten dollars a visit, which is expensive enough that brands ration them - they audit a sample of stores, occasionally, and extrapolate. Hetal quotes a price per store per month starting around two dollars. When measurement gets that cheap, you stop rationing it. You measure everything, all the time, and suddenly the shelf is an observable, queryable thing instead of a rumor.
That shift - from expensive-and-occasional to cheap-and-continuous - is the kind of change that quietly rewrites how an entire function operates. It is one thing to know your product is out of stock somewhere. It is another to know which stores, how badly, since when, and whether fixing it last quarter actually moved sales. Hetal is building toward that second thing.
Hetalites reserve a session and record short videos of designated aisles while they shop.
Computer vision and generative AI detect missing products, wrong prices and misplaced displays.
Problems are prioritized and paired with visual proof, so teams see exactly what is wrong.
The platform helps drive the fix and then correlates shelf changes with sales lift.
We've been on the brand side, so we know how busy everyone is. Providing an issue list is not enough; any good solution needs to handle the action as well.
Figures are publicly cited by the company and its investors; treat as approximate. The point is the ratio, not the decimal.
The reason this matters is not that Hetal is cheaper - lots of things are cheaper. It is that a price low enough changes the behavior around it. Expensive audits force brands to sample and guess. A near-free audit lets them observe continuously, which is a different product entirely: not a spot check but a live feed of shelf reality. Cheap measurement is a wedge that widens, because once brands can see everything, they start building merchandising and category strategy on top of the data.
Understand how the real shelf compares to the planogram - and get visual proof of every discrepancy.
Spot where displays, pricing and placement are drifting, and prioritize the fixes that matter most.
Correlate shelf conditions with sales so category decisions run on evidence, not anecdote.
Quantify whether a shelf change actually paid off, turning merchandising into a measurable ROI question.
CEO David Roger previously co-founded the eyewear brand Felix Gray, which means the founding team did not arrive at retail execution as outsiders with a clever algorithm. They arrived as people who had lived the pain of trying to keep product looking right across hundreds of stores they could not personally visit. That origin shows up in the product's design philosophy: an issue list, in Roger's telling, is not a solution - the fix has to be part of the loop. The team is rounded out by advisors including Jeff Williams, formerly SVP of Retail at NielsenIQ, and James Kairos, former interim CEO of Jyve.
| Round | Amount | Date | Select Investors |
|---|---|---|---|
| Seed | ~$6.4M | Jun 2025 | Barrel Ventures, Ludlow Ventures, GTM Fund, Nomad Ventures, MXV, Habitat Partners, Marketplace Capital, nvp capital |
Company has said it generated meaningful ARR while still in beta. Total funding to date: ~$6.4M. Valuation not disclosed.
Hetal is not alone in pointing cameras at retail. It sits in a crowded field of computer-vision and shelf-intelligence players - Trax, Vispera, Standard AI, Focal Systems, Wiser Solutions - plus the traditional field-merchandising and mystery-shopping services it is trying to undercut. The differentiator Hetal leans on is not just the AI, which is increasingly table stakes, but the collection layer: a crowd of ordinary shoppers rather than fixed infrastructure or a dedicated audit workforce. That keeps the cost curve low and the coverage wide, which is exactly the pressure point in this market.