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Understands requests in plain words and searches by specs, price and availability.
An AI sales assistant for an online store is a chat that picks products from your catalog based on the shopper’s description: “I need a living room sofa under €1,000.” The reply is a selection with links, prices and availability, and the finished order goes to a manager.
In a large catalog, shoppers often don’t know which filter to pick. They think in words: “a sofa for a small room that folds out and doesn’t show dirt,” while the site offers twenty checkboxes with sizes and materials. Some people get tired and leave; others message you and wait for a manager to reply.
An AI sales assistant works like a salesperson on the shop floor. It understands requests in plain words, asks a couple of clarifying questions and shows a few suitable products with links, prices and availability. If the shopper is ready, it collects the order details and passes them to a manager. If they’re unsure, it explains the difference between models.
The assistant takes product data from your catalog or feed, so it doesn’t make up models or prices. And anything involving discounts, delivery dates or special terms gets handed to a person, according to the rules.
Understands requests in plain words and searches by specs, price and availability.
Explains the difference between models and helps choose what fits the shopper’s needs.
Answers common questions about delivery times, payment and returns based on your terms.
Collects the details and passes the order to a manager via messenger or email.
The assistant gets up-to-date products, prices and stock from your store or product feed — the same one used for Google Shopping.
What it can promise and what it hands off to a manager. No made-up discounts or delivery dates.
A chat window in your store’s style, easy to use on a phone and without slowing down page loading.
Replies in the shopper’s language: Russian, Romanian, English.
The order with selected products and contact details reaches a manager on WhatsApp, Telegram or by email.
We review real conversations and improve product matching: which requests the assistant handles poorly and what data is missing.
Product feed, terms, common shopper questions.
Product matching rules, replies, order handoff to a manager.
We test on real requests and refine the replies.
We review conversations and orders and keep training the assistant.
The price depends on the channels, the size of the knowledge base and integrations. Exact quote after a short brief.
An assistant in a chat window on your website.
A bot on WhatsApp and Telegram.
A sales assistant that recommends products.

Every project is led by Oleg Visan, Project Lead at emarketing. He is responsible for the strategy, the website structure and the result. He works with a distributed team of specialists: design, development, copywriting, analytics.
Before marketing, Oleg ran his own business, so he looks at a website the way an owner does: how many leads it brings in and what each one costs.
Yes, if it’s connected to your catalog or a regularly updated product feed.
WooCommerce, Shopify and others — via a product feed or API.
Usually it collects the order and passes it to a manager. Automatic checkout is possible if your business needs it.
From €300. The price depends on catalog size, languages and integrations. The language model is paid by usage — we estimate it in advance.
The assistant will suggest similar models that are in stock or pass the question to a manager — following the rules we set up.
A website chat that answers customers 24/7 and collects leads.
Learn more →We reply within one business day. No pushy calls — we understand your needs first, then make a proposal.
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