Key takeaways
- The assistant doesn’t just answer – it navigates, sets filters, adds to cart and fills forms for the customer.
- Most journeys break on effort, not price, and it takes that effort off the shopper, especially on mobile.
- Every step happens in plain sight and can be stopped, so the customer trusts it with the cart.
- It uses the store the way a person would, covering processes with no API and no replatforming.
From “here is where to click” to “consider it clicked”
A classic chat ends its job with an answer: “washing machines are under Home Appliances, the capacity filter is on the left”. A hands-on assistant starts where that one stops – it simply does it. Type “take me to washing machines” and it opens the right listing and points out where to start. Ask for “a bike for a 7-year-old” and it sets 20-inch wheels and the right height range on the category page, then highlights the best model on the list.
The industry calls this “agentic commerce” or “AI agents”. The name matters less than what the customer sees: they ask – and the page starts working by itself, step by step, in plain sight.
See it live: the morele.net deployment
Below are real screenshots of the AI Shopping Assistant on morele.net, one of Poland’s largest electronics retailers, built on AskSpot. The assistant speaks the customer’s language – here Polish, one of 200+ it supports. It starts with a simple command:
The customer narrows it down: “Show iPhone 16”. The assistant does not reply with a link to a guide – it ticks the filter on the page, exactly the way the customer would. While it works, the page dims, a frame appears around the screen, and the chat shows the status and a description of the current step:
Once the list is narrowed down, the assistant does not leave the customer with 53 results. It points to a specific model right on the listing and suggests ready-made next moves:
Morele.net uses AskSpot across its whole support journey – see how it cut customer service costs by 90%.
What the assistant can handle end to end
- set filters on a category and point out the best product on the list – “a bike for a 7-year-old”, “a built-in washing machine”
- move the customer to the right place in the store on a single command – “take me to washing machines”
- add a product to the cart and walk the customer through to checkout
- fill in form data: delivery address, invoice details, contact requests
- guide a complaint or return step by step, with no digging through the terms page
- finish a complex task whole: “find a bike for a 7-year-old and order it to my address – card payment, courier delivery”
spotSee the hands-on assistant on your store
Book a short demo – we will show how the assistant navigates, filters and closes orders on your site.
Why this lifts sales instead of just looking clever
Most shopping journeys break not on price but on effort: filters on a phone, a form with ten fields, a cart hidden three clicks away. A hands-on assistant takes that effort off the customer – especially on mobile, where doing it yourself costs the most.
Transparency matters just as much. The customer sees what the assistant is doing at all times: the frame signals work in progress, highlights show where the action happens, the page scrolls to the spot where something is being filled in, and the whole run can be stopped at any moment. That builds the trust without which nobody hands an AI the keys to their cart.
The best service is the kind customers never have to learn. Here they just say what they want.
Under the hood, in one paragraph
The hands-on assistant is a dedicated integration with your specific store. The AI plans the steps – “open the category, tick the filter, add to cart” – and a lightweight script on the page executes them, highlighting every move. The assistant uses the page the way a person would, so it also covers processes your store has no API for. For the customer it is simply a job done; for the store, automation without rebuilding the platform.
