EngaigeNow answers from your own live price, stock and aisle — never from a guess — and hands them to a real colleague the moment it can't.
Nobody on your floor can hold ten thousand products in their head, and the person who could just handed in their notice. So the knowledge has to live somewhere else — and it has to get there effortlessly.
A PDF, a brochure, a price list, a photograph of a spec sheet. It is read once, and every product fact it yields carries a verbatim quote back to the page it came from — which is why the assistant can refuse to guess.
The AI in-store assistant uses catalogue data to ensure shoppers receive grounded answers — live price, live stock, the exact bay — and a safety note quoted from the manufacturer, never paraphrased.
The same knowledge layer, as a staff tool. A new starter answers like someone who has been there ten years.
The same catalogue is passed to Learnrv8, our sister platform, for staff product-knowledge training. You accept it and assign it to your people — funded by the supplier, not by you.
Files are matched on their contents, not their filename. The same catalogue in two places is one document, not two.
What shoppers actually ask, which products win a comparison, which projects pull a basket along — your data, your store, nobody else's.
Every price, stock level and aisle a shopper reads is pulled live from your own systems at the moment they ask — so nobody is ever quoted a figure that changed last week. Product advice comes from the supplier's own words, and the assistant will not go beyond them.
A question it cannot answer from your own data goes straight to a colleague on the floor, and their answer comes back to the shopper's screen while they carry on browsing. The shopper is never stranded, and never told something that was invented to save face.
The assistant is not our product wearing your logo. You name it, you give it its opening line, you set its colours, and you print the QR Codes that open it. No shopper ever sees a competitor's brand — or ours.
The assistant's name, greeting, tagline and the questions it offers first — all yours, all editable in the console, live the moment you save.
Set your accent and the platform works out the text colour that stays readable on it. Your brand gives way to nothing; the contrast rule bends instead.
Entrance stickers, shelf tags and aisle markers, generated per store and per zone — so the assistant already knows which aisle it is standing in.
“Bob” is one retailer's assistant, not our product. The next store's is called something else entirely, in their colours, answering from their shelves.
High staff turnover is a reality in Retail. The AI in-store assistant that your team uses is the same one your shoppers use — so a new team member serves, cross-sells and answers safety questions from day one. The expertise and IP belong to the business, not to whoever happens to be on shift.
Suppliers carry the duty to teach the floor what their products do — and they pay for it. EngaigeNow turns the catalogue they already sent you into that training, so the obligation actually reaches the people standing in the aisle.
The supplier writes it once in their own account and publishes it. Retailers who stock them accept it, and assign it to their own staff — on their phones, in short pieces, in the language they read in. Your people's results stay yours; the supplier sees uptake, never names.
Isolation is enforced in the database itself, not in the screens above it — a competitor's data is not merely hidden from you, it is unreachable. That is the condition on which two rival retailers can both be here at all.
A shopper does not sign in, and is not asked for anything we do not need to answer the question in front of them.
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