E-commerce and retail · Sample scenario
AI advisor that helps customers choose products
The customer describes a need and a budget, and AI presents 3 matching products from the live catalog with a comparison.
Problem
Customers cannot pick the right option among hundreds of products, find no one to ask, and leave the site.
How it works today
The customer writes in the website chat, an operator searches the catalog by hand and replies a few hours later. Requests outside business hours wait until the next day.
What this scenario changes
AI extracts the need, budget and constraints from the request, searches only the live catalog and shows matching options with the reasons. If nothing fits, the request goes to a staff member.
The process step by step
- Website request: The customer describes a need in chat
- Need and budget extracted: AI structures the request
- Live catalog search: Price and stock filters are applied
- Is there a matching product?: At least 1 matching product in stock
- Options compared: Reasons are written in plain language
- Recommendations shown: The customer sees 3 options
Exception path
- Handed to a sales rep: Live advice with a summary
- Customer informed: Told that a staff member will get in touch
The role of AI
Extracts the need, budget and constraints from a free-form request and compares the products found in the customer's own words.
Human approval and exceptions
If no matching product exists or attributes are incomplete, AI does not make anything up: the request goes to a sales rep with a summary.
Frequently asked questions
Can AI recommend a product that is not in the catalog?
No. The search runs only on live catalog data; if nothing fits, the request goes to a staff member.
How do prices stay up to date?
Price and stock are read from the catalog system again for every request; no old copy is used.
Where does the customer conversation end up?
A summary of the conversation is saved in the CRM so the sales team can follow up later.