RetailVision turns your existing camera footage into footfall, anonymous age and gender mix, dwell time and conversion insight. No new cameras. No facial recognition to identify anyone.
Measured, not modelled.
RetailVision conversion dashboard. Watch the 90-second walkthrough.
No new in-store hardware to buy or install.
Accuracy measured, not self-reported.
No facial recognition to identify anyone, no identity matching.
Designed to support GDPR, POPIA and Gulf PDPL obligations.
Independent benchmarking applies to the age and demographic-estimation models. RetailVision does not perform facial recognition and does not identify anyone.
Online retailers can see visits, drop-off, conversion and repeat behaviour. Physical retailers usually see only sales and rough footfall. Your point of sale tells you what sold. A basic counter tells you how many people walked in. Neither tells you which groups came in, where they spent time, or where conversion broke down.
Your cameras are already capturing much of it. Nothing is reading that footage for commercial insight.
You have spent real capital on cameras that only pay you back in security footage you hope you never have to watch. That is a cost centre. RetailVision turns the same cameras into a revenue tool, with no new hardware and no capital spend. Most of the people who walk in leave without buying. We show you which groups, when, and where you are losing them.
Your CCTV is already capturing the data. We deliver the insight: a full dashboard from your own footage, in about 7 working days, with no new cameras required.
Who walks in: counts and anonymous age and gender mix, by store, day and hour. No one is identified.
Who came in and did not buy, by group and by zone. Often the fastest place to find lost revenue across a store estate.
Where people go, where they linger, and where they leave.
A plain-English question box on every dashboard. "Which group converts worst on Friday afternoons?" Returns a chart and a written answer, no SQL or report request.
A board-ready summary of what moved, where revenue is leaking, and the likely causes to investigate. Included, not an add-on.
Every dashboard has a plain-English question box. Ask "which shoppers visit most but buy below average?" and get a written answer with the numbers behind it in seconds. No analyst, no SQL, no report request.
Put people where the converting traffic actually is, and cut labour cost per sale.
Rework the zones the under-35s ignore, and the ones where dwell never turns into a sale.
Spend against the audience that actually walks through the door, not the one you assume.
Price rent and advertising on measured footfall, not estimates, whether you are the retailer or the landlord.
In-store cameras, ingress, till and egress.
Encrypted upload, after hours.
Processing: detect, measure, align to sales.
Footage deleted. Anonymised data only.
Your dashboard and conversational query.
Uploads run after hours over your idle connection, throttled to avoid affecting trading. Overnight processing, dashboards refreshed each morning.
Find the non-conversion gap and act on it. For many estates, even a small conversion lift can outweigh the platform cost.
Measured visitor intelligence instead of footfall estimates: the evidence to set rents and price advertising space. Works without tenant sales data.
See whether a campaign moved in-store behaviour, and staff to real demand instead of guesswork.
Priced per camera, per month, with no tiers and no lock-in. Start with a free pilot on 30 days of your recorded footage, and we will scope pricing for your estate.
Book a free pilotNo facial recognition to identify anyone. We do not match faces to names, run watchlists, or keep an identity database. Faces are processed only transiently to estimate an anonymous demographic, then deleted with the footage.
No. It works with the IP cameras and recorded footage you already have.
It is uploaded encrypted and processed, then deleted within 24 hours. Only anonymised, non-identifying data is kept.
In most cases, yes. What matters is a reasonable view of faces at entry and till, not 4K. We run a quick camera-suitability check up front and prove it on your real footage in the pilot.
Our age and demographic models are independently benchmarked, not self-reported. Real-world accuracy depends on camera angle and resolution, which is exactly why we prove it on your own footage in the pilot before you commit, rather than quote a number we cannot defend on your cameras.
Your choice. A public cloud region near you by default, your own private cloud if you prefer, or in-store if you want full control. Our deployment options are designed to support EU, UAE and KSA data-residency requirements.
A dashboard from 30 days of your recorded footage in about 7 working days.
Where you can share transaction data, we align it to footfall to measure the conversion gap. Footfall and demographics work without it.
Yes. Footfall, demographic and dwell intelligence stand on their own; conversion needs sales data.
Every RetailVision deployment builds proprietary, structured behavioural data that exists in no public source. Over time this becomes RetailPreSight, a forecasting layer that gets sharper with every client. RetailVision is the product you buy today; RetailPreSight is where the data takes it.
A free pilot using 30 days of your recorded CCTV. Dashboard in about 7 working days. No new cameras, no commitment.
Kidax