Personal chatbots that help the customer find the right product or service
We faced a problem ourselves: in online stores, it's often hard to find the right equipment; search works roughly, and customers have to manually sift through specs, reviews, and similar models. Therefore, we create chatbots that understand questions simply and guide users to solutions.
What problem does an LLM bot solve
Regular search looks for word matches. A chatbot can understand the client's task: what the equipment is needed for, budget constraints, limitations, and what needs to be compared.
Smart search in the catalog
A customer writes 'need a laptop for an accountant' or 'server for 1C', and the bot selects options based on meaning, not just exact name.
Technical answers
The bot explains features in simple terms: processor, memory, disks, warranty, compatibility, model differences and possible limitations.
Reviews and comparison
Can reviews, descriptions and sales history be connected so the bot can show pros and cons and help compare similar products?
What can be connected
- Product catalog, specifications, stock levels, prices, and categories.
- Customer reviews, descriptions, instructions, FAQ, and documents.
- CRM, request forms, history of requests and order statuses.
- Website, online store, internal dashboard, Telegram bot, or separate widget.
AI used where it's truly needed
We don't install LLM just for the sake of it. If a client needs a regular filter or form submission, we provide a standard solution. We connect LLM when understanding free text, explaining complex products, working with knowledge bases, or helping to choose from large catalogs is required.
For online stores
The bot helps find products, clarifies tasks, explains model differences, provides links to suitable positions and assists in placing an order if the product is out of stock.
For companies and support
The bot answers according to internal guidelines, helps employees find documents, explains regulations and gathers data for specialist consultation.
How we implement
- Analyzing scenarios: what the client is looking for, questions asked, and where they get lost.
- Preparing data: catalog, descriptions, reviews, FAQ, response rules and limitations.
- Configure the bot, test responses and add submission to a manager.
- Save conversations so that administrators can analyze questions and improve knowledge base.
Need a chatbot for the website or store?
Describe what customers find difficult to locate: products, equipment, services, instructions, or support answers. We will suggest where LLM can really help, and where regular logic is sufficient.