Overview
Storalytic provides an operating system for physical retail that captures, interprets, and acts on store data in real-time. The platform turns existing store cameras into a behavioral intelligence layer to track store performance metrics like customer attraction, service efficiency, and flow.
In the news
- Most retail-tech stops at 'SEE'. The dashboard reports, the manager decides, and no one ever checks whether the intervention actually paid off. Storalytic is the only platform that closes the loop. Log the change and the date. The platform measures before and after over equal windows and against the trend the store was already on. If the store was already climbing, a rising tide is not counted as a win. If the store was declining, a smaller decline is not dressed up as an improvement. Every result carries one of four labels:
- Seeing without acting is decoration. 'ACT' is what makes the loop useful on e.g. a Tuesday morning. Opportunities are ranked by the euros within reach, not by the loudest signal. Each one comes with the right lever: get more people to stop, or get more stoppers to buy. Each comes with a concrete, zone-specific recommendation. Not a generic tip. The actual move for this aisle, this week, this store. Our digital companion, Allen, writes those recommendations. He tracks whether a store manager logged a change in it's store and when.
- The first pillar of the Storalytic loop is 'SEE': make the blind spot visible and honestly benchmarked. Reach: how many store visitors reach each zone. Engagement: how many of those stop. Conversion: how many of the stoppers actually bought. Multiplied together, these produce the euro potential of each zone in the store. Not a dashboard of numbers, but a honest picture of what happened, measured against the four gears: 1. your own best weeks 2. your best comparable zone 3. a peer cohort 4. and best-in-class as the horizon You
- Allen is not an AI product. He is a role. He is the companion who guides the retailer through the loop: he helps you see what happened on the floor, tells you the one move to make, and — this is the part no other retail-tech does — he measures whether his own advice worked. He writes the daily briefing. He drafts the per-zone recommendations. He answers free-text questions, forecasts the coming week per zone, and reaches out proactively when something changes. What makes him a colleague rather than a tool is accountability. He
- Retailers measure two things well. How many people came through the door. How many left with something. Everything that decides how a store actually performs happens in between. Which zones people actually reach. Which displays hold attention and which don't. Where staff should be at 11 AM on a Wednesday. When a queue forms before anyone notices. Which aisle converts and which one just passes through. This is the floor between the door and the checkout where most of the sale is either won or quietly slips away. Not on the shelf. Not
- Most retailers know exactly what was paid for. But what was almost bought stays mostly invisible. That is the space between the entrance and the checkout, where attention forms, holds, or fades. In a typical store, thousands of decisions happen there every week. None of them show up in the sales report. Meet Allen, your store's companion. Working from the cameras you already have, he shows you what almost sold, tells you the one move to make, and measures whether it worked. Storalytic is the loop that closes what your store sees
- Walk any store at peak hour and you see it: a senior staff member moving between zones, sensing where attention is gathering, where a customer is about to leave, where a colleague needs backup. This is heroic work. It is also fragile. It depends on one or two people whose intuition has been built over years. When they take a holiday, when they leave, when the store grows beyond what one person can hold in their head, the system collapses back to whatever the floor can improvise. Storalytic was built to make that intuition
- Storalytic uses computer vision, edge processing, and AI models. None of that is the product. The product is a behavioural intelligence layer that makes a physical store governable. The AI is the engine underneath. The value is in what the engine enables — not in the engine itself. This distinction matters. Retail buyers are tired of being sold AI. They need to be sold clarity, control, and the ability to act on what was previously invisible. Storalytic is not an AI company. It is an infrastructure company that happens to use AI
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