Visitors browse, can't decide and leave
The assistant asks 2–4 clarifying questions about budget, use case and size, then suggests 2–3 products with links to the product pages.
Shoppers ask in chat and get a product that fits
An AI shopping assistant answers product questions, compares models and recommends what to buy, using your real catalog and stock.
Quote and schedule after your brief
Who it's for
- Stores with large catalogs where choosing is hard: electronics, beauty, apparel, furniture
- Teams whose support answers the same sizing, compatibility and shipping questions every day
- Owners who see visitors leave product pages without buying
- Stores selling in several languages that cannot staff chat around the clock
Problems we solve
Support answers the same questions about fit, compatibility and delivery all day
We load your catalog, shipping and returns policies into the assistant. It handles the routine questions and hands complex ones to a person, with the full conversation attached.
Questions at night and on weekends go unanswered
The chat runs around the clock. When a shopper leaves contact details, the lead goes to your CRM (customer database) or to a Slack or Telegram channel.
Fear that AI will invent specs or promise discounts
The assistant answers only from your catalog data and the rules you set. If data is missing, it says so and offers a human.
What's included
- Catalog audit: which fields exist and what is missing for good recommendations
- Catalog connection (product feed, API or spreadsheet) with automatic price and stock updates
- Conversation flows for product selection, comparison, shipping and returns
- Behavior rules: tone, off-limits topics, what the assistant must never promise
- Chat widget on your site, styled to your brand
- Handoff to a human via email, Slack, Telegram or CRM
- Testing on at least 50 realistic shopper questions
- Dashboard with conversation history so you see what people ask
- All accounts and access transferred to you
Choose the scope
Use a package to describe what you need. We agree on the quote and schedule after reviewing your brief and requirements.
01
Basic
Small catalogs of up to a few hundred products
- Chat widget on your site
- Catalog connection from a spreadsheet or feed
- Answers about products, shipping and returns
- Lead handoff to email or Slack
02
Standard
Stores with a live catalog and a CRM
- Everything in Basic
- Automatic price and stock sync
- Guided product selection with clarifying questions
- CRM integration
- Pilot with a measurable KPI an agreed period
03
Advanced
Large catalogs, several languages, complex logic
- Everything in Standard
- Multiple languages
- Product comparison and related-item suggestions
- Connection to Instagram or WhatsApp
- Conversation analytics and a monthly review
How we work
Brief and requirements
You describe the task and current workflow. We clarify requirements, choose a first stage and prepare a quote.
Pilot with a KPI
We agree on one metric, such as the share of chats that end in an add-to-cart. We launch the assistant on part of the catalog first.
Data connection
We set up catalog, price and stock sync and check that the assistant sees the right data.
Testing
We run common and tricky questions, fix weak answers and add rules.
Launch and handover
We switch the chat on and show you how to read conversations and change the rules. Payment is in stages, and every account is yours under the agreed terms.
Scope and limits
- We don't promise a specific sales lift. It can only be measured in a pilot with your own traffic
- We don't promise perfect answers if the catalog lacks descriptions and specs. We help you prepare them first
- We don't replace your support team. Complex and disputed cases go to a person
FAQ
How is this different from a regular chatbot?
A regular bot follows preset buttons and scripts. The assistant understands free-form questions and looks up answers in your catalog. For sensitive cases, such as returns or complaints, we add fixed scripts.
Will it make up product specs?
We restrict it to your catalog data and your rules. If information is missing, it says so and offers a human. The risk of a mistake can't be removed completely, so we test before launch and review conversations afterward.
What do you need from me?
Catalog access (feed, spreadsheet or admin), shipping, payment and returns policies, and examples of typical customer questions. You also need a person who decides disputed cases.
Which platforms does it work with?
Shopify, WooCommerce, BigCommerce, Magento and custom stores. If your platform exposes the catalog through a feed or API, we can connect it.
What does it cost after launch?
We prepare a quote after reviewing your brief. We list support and any third-party costs separately: subscriptions, APIs, hosting or media spend where the project needs them. Provider rates are checked before work starts.
How will I know it works?
We agree on a KPI before launch: for example, the share of chats leading to the cart, questions removed from support, or contacts collected. You see the data in the dashboard yourself.
Start with your task
Describe your business, the outcome you need and your current workflow. We will clarify the requirements and prepare a quote after your brief.