AI chatbot for ecommerce: from a customer question to the right product

Traditional filters work when customers know the category and required parameters. A conversational product advisor also helps people who only know what problem they want to solve.

The assistant needs reliable product data

An existing Heureka, Google Merchant, or custom XML feed can provide the foundation. Informio indexes names, descriptions, categories, and parameters while keeping price and availability as live commercial data.

• A stable product ID connects knowledge, price, stock, image, and URL.
• Parameters support comparisons based on the customer's real need.
• A quality score highlights missing descriptions or availability data.

Search by meaning, not only product names

Embedding retrieval finds products and information semantically related to the question. Customers do not need to know the model name or exact wording used in the catalog.

• A question may describe use, compatibility, dimensions, or budget.
• The assistant explains differences only from available parameters.
• Missing feed data should never be replaced with a guess.

Product cards inside the answer

Informio can show a verified name, image, price, availability, and clickable link for products used in the answer. These values come from the source rather than freely generated model text.

• Customers see the product without losing the conversation context.
• Clicks lead directly to the relevant product page.
• The strongest matches can appear as clean visual cards.

What to monitor after launch

Conversation history reveals how people make decisions and which catalog information they cannot find. This can improve the feed, product descriptions, and the store's offer itself.

• Common compatibility, delivery, and model-comparison questions.
• Questions where the assistant lacked sufficient evidence.
• Conversations handed to an operator before a purchase decision.

A good product chatbot does not force a sale

Its job is to shorten the path to a suitable product and explain the choice using your data. When the evidence is insufficient or personal advice is needed, it should hand the customer to a person.