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?
| Comparison | Filters and search | A shopping assistant |
|---|---|---|
| Starting point | The visitor must already know what they want. | They describe the need in their own words. |
| A specific question | A contact form, and an answer tomorrow. | An answer within a second, from your own data. |
| The choice | Thirty references that all look alike. | Three suggestions, and why those. |
| Out of stock | Discovered at checkout. | Never 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.
Hosted in Europe, and it stays yours.
Hosting in Europe
Your data is hosted and stored in the European Union, on Microsoft Azure, in an environment dedicated to your company.
Your data belongs to you
What you entrust to us, and what the system produces for you, remains your property and stays accessible from any other tool.
Human approval
Nothing binding goes out without approval from someone at your company: emails, quotes, follow-ups.
The price is announced upfront and doesn't move: no bad surprises later.
A 30-minute conversation, then a costed quote within 24 hours. Go-live takes one week to one month depending on complexity.
We monitor the system continuously and improve it based on your feedback.
Shall we look at your case?
30 minutes to identify what AI can take over in your business, and a fixed-price quote within 24 hours. Free, no commitment.
Pick a time slotOr call +32 472 07 81 37What we're asked most often.
Which platforms does it work with?
Shopify, WooCommerce, PrestaShop, Magento, and any store through its API or product feed. We connect to the existing catalogue, without rebuilding your site.
Does the assistant see stock in real time?
Yes: catalogue, variants, stock and prices are read at answer time. An out-of-stock product isn't recommended, and a lead time is never guessed.
How does it recommend a product?
From what the visitor says (use, budget, constraints) cross-referenced with your product data. It explains why it suggests a given model, and doesn't push what doesn't fit.
Can it be tailored to our brand?
Yes: tone, vocabulary, level of familiarity, topics to avoid. It's your brand speaking, with the rules you set, including what the assistant is not allowed to commit to.
And if it doesn't know the answer?
It says so and passes the conversation to a human, with its history. We prefer “let me check” to an invented answer that will produce a return.
What impact on conversion rate?
We won't quote a percentage before seeing your store: it depends on your traffic, your catalogue and your margins. What we can measure from the first month is the questions asked, those left unanswered, and the conversations that end in a cart.
How much does an e-commerce assistant cost?
Fixed price, announced after a 30-minute conversation: it depends on catalogue size, number of languages and sources to connect. No per-conversation billing.