E-commerce assistant
An AI salesperson on your online store, 24/7.
It knows your catalogue, understands what the visitor is after and points them to the right product — answering the questions that block the purchase: size, material, compatibility, lead time, availability.
Store · shopping assistant
onlineWarm without the bulk, in that budget: here are three models in stock. The first is the warmest of the three.
Boiled wool
Straight cut
149 €
Lined parka
Water-repellent
139 €
Light quilted
The lightest
155 €
3 models available · size guide cited
- Your catalogue
- Product data, stock and prices read live — not a copy from yesterday.
- 24/7
- Evenings and weekends, when half the carts get filled.
- Nothing invented
- An out-of-stock product is never recommended; what it doesn't know, it says.
A shopping assistant, concretely
In a shop, a salesperson listens, asks two questions and leads the customer to the right product. Online, the visitor is left alone with a grid of references and filters. The assistant restores that conversation: connected to your catalogue, product data and stock levels, it understands the need, recommends and explains why — without ever inventing a lead time or an availability.
Why your visitors leave without buying
A visitor hesitating between three references who gets no answer closes the tab. In a shop, someone would have helped them in thirty seconds.
The visitor is alone with hundreds of references and filters that don't replace advice.
Blocking questions — size, material, compatibility, lead time — arrive in the evening, unanswered until the next day.
The cart gets filled then abandoned for want of a detail that would have taken ten seconds.
The same questions come back by email and keep one person fully busy.
The journey, from visit to purchase
- 01
They land on the store
The assistant offers help without imposing, like a salesperson who stays available without hovering.
- 02
They describe the need
Use, size, budget, occasion: the conversation pins down what no filter knows how to ask.
- 03
They get a selection
A few products from your catalogue, in stock, with the reason for each pick.
- 04
Their doubts are cleared
Size, material, compatibility, delivery time: answers come from your own data, not from generalities.
- 05
Or it hands over
A complaint, an edge case, a pricing question: the assistant passes it to a human with the history.
Filters and a search bar, or an assistant?
Starting point
Filters and searchThe visitor must already know what they want.
A shopping assistantThey describe the need in their own words.
A specific question
Filters and searchA contact form, and an answer tomorrow.
A shopping assistantAn answer within a second, from your own data.
The choice
Filters and searchThirty references that all look alike.
A shopping assistantThree suggestions, and why those.
Out of stock
Filters and searchDiscovered at checkout.
A shopping assistantNever suggested: stock is read live.
What changes on your store
- Advised, not left alone
- The visitor gets the equivalent of a salesperson: a question, an answer, a direction.
- Fewer blockers
- The questions that make people abandon a cart get answered the moment they come up.
- A catalogue that improves
- Whatever the assistant can't find in your product data surfaces: that's the list of what your catalogue lacks.
Your data stays in Europe, and it stays yours.
All our guaranteesHow we work
- Fixed price, not time and materials
- The price is set upfront and doesn't move. We iterate until it runs, at no extra cost — scope drift is our problem, not yours.
- Quote within 24 hours
- A 30-minute conversation, then a costed quote within 24 hours. Go-live takes one week to one month depending on complexity.
- You can own it
- On request, the solution is deployed on your environment and the code is yours. Otherwise we host and maintain it — it's an option, not a requirement.