The Retailr AI Platform
The intelligence layer under every screen you own.
One AI platform sitting between your POS, your customers and your physical space — generating the content, choosing the offer, reading the sentiment and measuring what it changed.
Our own trained models · Gemini and other providers · NVIDIA edge deployment
How it fits together
Four layers, one platform.
Most vendors sell you one of these. The value is in them being the same system.
Model layer
Our models where it matters. Everyone else's where they're better.
Being tied to a single provider is a liability in a field that moves this fast. Retailr routes each job to whatever does it best, and you don't have to think about it.
Retailr trained models
Tuned on menu boards, window displays and promotional layouts — the parts general models get wrong.
Gemini & other providers
Connected for copywriting, translation and general image work, with the right model picked per task.
Canva AI
Generate in Retailr, refine with Canva's AI tools, publish back to your screens without leaving the flow.
Vision on the edge
Virtual try-on and presence sensing run on local NVIDIA GPUs — fast, and nothing leaves the building.
What the AI actually does
Six jobs, running at once.
AI analytics
The loop only closes if you measure it.
Physical retail has been guessing for a century because the data stopped at the till. Every surface in the platform reports back — and that feeds the next decision.
Predictive analytics
Demand patterns, quiet hours and repeat-visit likelihood — used to schedule, not just to report.
Behavioural segmentation
Groups built from what people actually bought, ready to target with an offer or a campaign.
Sentiment analysis
Review text scored by theme and by item, so praise and complaints reach the right person.
Export to your BI
Scheduled exports and API access, so the data lands in the warehouse and dashboards you already run.
Integrations
It plugs into what you already run.
An AI platform that needs you to replace your POS isn't a platform, it's a migration project.
POS & inventory
Clover, Square, Lightspeed and others — the source of truth for everything the AI decides.
CRM
HubSpot, Salesforce, or the built-in Retailr CRM if you'd rather not run one.
Content tools
Canva and Google Workspace for design and asset sync, both two-way.
E-commerce & assets
Product images, catalogues and brand libraries pulled in so generated content uses your real products.
Control & governance
You decide how much of this runs on its own.
Every automated decision has an off switch, a rule and a log. That's the difference between a platform you can deploy across 200 franchise locations and a demo.
Questions we get asked.
Which AI models does Retailr use?
Our own models trained for retail and restaurant creative, plus connections to general providers including Gemini for language and image tasks. Vision workloads like virtual try-on run locally on NVIDIA hardware.
Do we have to use the AI features?
No. The platform works as straightforward signage and ordering software. The AI layers on top, and each part can be switched on when you're ready.
Where does our data go?
Business data syncs to the platform to drive decisions. Vision processing — mirrors, presence sensing — happens on the local device, and no images are uploaded.
Can we get the data into our own reporting?
Yes. Scheduled exports and API access mean engagement and campaign data can land in your existing warehouse or BI tool.
Does it replace our POS or CRM?
No. It connects to them. If you don't have a CRM, there's one built in, but nothing needs replacing to get started.
How long does deployment take?
Signage can be live in about two weeks. Sensor, mirror and vision deployments depend on hardware and are scoped per site.
Bring your POS data. We'll show you what it's been hiding.
A demo built on your own products, your own menu and your own numbers — not a generic slide deck.