An important attribute is missing
If width or compatibility is not listed, the agent does not fill the gap with an assumption. Sales needs to verify it before the final choice.
Online stores
Product selection and comparison with an AI agent
An AI agent clarifies the intended use and budget, searches the connected catalog and helps customers compare suitable products.
The customer context
I need a vacuum for a small flat, under 18,000 dinars.
Customers may know their intended use but not a model name. A conversation turns those requirements into a check of your actual offer.
What remains after the conversation
The AI agent compared two models against the budget and available space and gave a specific recommendation with prices and differences.
Telp assistant
Website
From a question to the next step
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01
The customer describes use and budget.
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02
Telp checks items and clarifies criteria.
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03
The customer selects an item or asks for staff help.
Recommendations grounded in intended use and catalog data
The AI agent starts with the customer's criteria: space, budget, dimensions or intended use. It then checks which product attributes actually exist in the catalog. Connecting that range is explained in online store integrations.
A useful answer explains a difference that matters to this customer rather than naming one item as best for everyone. Once the customer chooses a product, the next step follows the supported ordering process.
No item meets every requirement
The agent can clarify which criterion matters most. It should not describe a more expensive or larger product as a perfect fit without explaining the difference.
FAQ
Frequently asked questions
Must the customer know a product code?
No. They can describe their needs, intended use or budget. Selection quality also depends on catalog data.
Can a customer compare two specific models?
Yes, when both models are identified and their data is available. The agent can explain recorded differences relevant to the intended use.
Does the agent recommend the most expensive item?
Recommendations should follow the customer's criteria and available data. Price alone does not establish that a product better suits the need.
What if the customer has a strict budget?
The agent uses the stated budget as a criterion. If the available range does not fit, it should say so rather than hide the price difference.
Can it guarantee that a spare part fits?
Only explicit, reliable information can support that answer. A similar name or photograph is not sufficient confirmation of compatibility.
Does choosing a product automatically create an order?
No. Selection and comparison come before purchase, which requires a supported flow, necessary details and a successful action in the connected store.
Explore related pages
Related channels, stores and examples
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AI agent for product and order support
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Connections
AI agent for WordPress / WooCommerce
An AI agent uses the connected WooCommerce catalog on your WordPress website to answer product questions, check variants and prepare supported ordering.
Connections
AI agent for Shopify stores
An AI agent checks Shopify products and options from a connected source. Checkout needs separate authorization and a supported channel; the public catalog is read-only.
Website
AI agent for website chat
A lightweight embedded assistant for visitors who need an answer or next step without leaving your website.
Online stores
AI agent for WordPress and WooCommerce website chat
An AI agent on your WordPress website checks the WooCommerce catalog and helps customers find a product that fits their needs.
Online stores
AI agent for Shopify website chat
An AI agent in website chat checks Shopify products, explains the available information and helps customers choose a variant before continuing their purchase.
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