Use case · Growth · Sales
Product & Service Recommendation
Product and service recommendation gives every customer a confident answer to "which one is right for me?", at any hour. An AI chat or voice agent asks about their needs, budget and preferences, searches what you actually have available, shows the best matches with the reasons they fit, and books the test drive, viewing or consultation.
- Only recommends what you have
- Live stock
- Web chat, messaging apps and calls
- 24/7
- Every requirement and choice recorded
- In your CRM
What is AI product recommendation?
AI product recommendation is an AI agent that helps one customer choose from your own range: a car in stock, a course level, a service from your menu. It asks what they need, looks up live availability through a tool connected to your database, explains why each option fits and moves the customer to a booking or a sale.
It isn't the same job as matchmaking. Matchmaking connects two sides of a market, such as buyers and sellers, from both sides' criteria. Product recommendation helps one customer choose from what you sell, in the conversation, while they're deciding.
Why do customers leave without choosing?
Customers leave without choosing because they know what they need but not which of your products delivers it. They scroll filters, ask whether something is still available and wait for a reply. Without a quick, confident recommendation, they pick the wrong option and come back unhappy, or go to someone who helps them choose.
The same questions all day
Your team answers "which one?" and "is it still available?" again and again.Wrong choices come back
Customers who choose alone pick the wrong option and return unhappy.No answer, no sale
Out of hours, the customer who needed help choosing goes elsewhere.
How does an AI agent recommend the right product?
An AI chat agent recommends the right product by asking about requirements, preferences and budget one question at a time, then searching your live stock or service range through a connected tool. It shows the best matches as cards with an image, key details and a button, explains why each fits, and books the next step.
With an AI chat agent
A website visitor or messaging contact asks for help choosing, or starts browsing
Understand the need
Requirements, preferences and budget, one question at a time, the way a good salesperson would ask.Search what's available
Your live stock, catalogue or service range, through a tool connected to your database and filtered by the customer's criteria. It never recommends something you don't have.Show the best matches
Cards in the chat with an image, key details and a button for the next step, plus the reasons each one fits and answers to follow-up questions.Move to the next step
The customer books a test drive, viewing or consultation, or asks to be contacted. Their choice, requirements and the conversation are written to your CRM.
If nothing fits, the agent suggests the closest alternatives or captures the customer's requirements, so your team can follow up when the right option comes in.
With an AI voice agent (inbound)
A call from a customer asking about a product or service
Answer from live information
The agent answers from your current inventory or service information.Offer what's available
If the item has gone or doesn't suit the caller, it suggests similar options you do have.Book during the call
A viewing, test drive or consultation goes into your calendar before the caller hangs up.
With AI automations (criteria forms)
A completed criteria form or a new lead in your CRM
Match the criteria
The customer's requirements are matched against your database.Write a teaser for each match
AI writes a short summary of each option.Email the matches
The teasers go straight to the customer.Remind until it's done
Customers who haven't finished the form get reminders over the following weeks.
Can AI recommend the right service from a customer's symptoms?
Yes. Customers with a problem often know the symptom, not the service: the car makes a noise when braking, or a warning light came on. The agent asks follow-up questions from your own guidance, explains the likely cause in plain language, recommends the matching service from your menu and books it, with the answers saved for your technicians.
Describe the problem
The customer explains what's happening in their own words.Narrow it down
The agent asks follow-up questions from your guidance, such as when it happens, how long it's been going on and whether anything else has changed.Recommend the service
It explains the most likely cause in plain language and recommends the matching service.Book it
The customer books that service in the chat, and the symptoms and answers are saved with the booking.
This is an initial diagnosis, not a replacement for an inspection, and the agent says so. Anything that sounds urgent or unsafe goes straight to a person on your team. The same approach works for home services and appliance repairs, where a customer describes the fault and needs to know who to book.
Which systems deliver it?
Product and service recommendation is delivered mainly by AI chat agents, with live stock look-up and product carousels as an add-on on any chat package. AI voice agents suggest available alternatives on inbound calls, and AI automations serve customers who prefer a criteria form, emailing them an AI-written teaser for each match.
| System | Trigger | What it does | Package note |
|---|---|---|---|
| AI Chat Agents | A visitor or contact asks for help choosing | Asks about needs, searches live stock, shows cards, books the next step | Live stock or catalogue look-up with product carousels is an add-on on any package |
| AI Voice Agents | Inbound call about a product or service | Answers from live inventory, suggests available alternatives, books on the call | Live calendar booking is an add-on on any package |
| AI Automations | Completed criteria form or new CRM lead | Matches criteria, writes teasers, emails them, reminds until the form is done | Built on your CRM or a database such as Airtable |
Where is it used?
Product recommendation suits any business whose range is big enough that customers need help choosing. Car dealerships recommend vehicles from stock, and the right service from symptoms. Online stores call it a product finder or gift advice. Education providers steer enquirers to the right program or level, and short-term rentals recommend local places and add-ons.
Same job, their words
Vehicle recommendations from stock. A buyer messages the dealership's website chat or Telegram; the agent asks what they'll use the car for, their preferred make or body type, budget and how they plan to pay, shows matching cars from current stock as a carousel and books a test drive. The salesperson gets the full transcript.
Proof
Buyer criteria matched to live listings
400+ qualified matches in three months · < 60s from inbound lead to teaser email
We also built a demo for a Shopify store: a product specialist chat agent in Voiceflow wrote a store search from the conversation, a Make.com scenario returned the results as a carousel with stock levels, and every product shown was remembered for the rest of the chat. When the shopper settled on one, it offered a one-off discount code.
What should you know before you start?
An AI agent can only recommend what it can see, so recommendations are as good as the stock or service data it searches. We connect the agent to your live database through a tool instead of copying your catalogue into it. Symptom-based advice is an initial diagnosis, and anything urgent or unsafe goes to a person.
- Live data, not a copy. The agent looks stock up at the moment it recommends, so it doesn't offer what's already gone.
- Initial diagnosis only. The agent says so, and urgent or unsafe issues go to your team.
- No regulated advice. In financial services, agents answer factual questions and book a qualified specialist instead of recommending products.
- Gaps become insight. Requirements you can't meet are recorded, so you can see what customers want that you don't yet offer.
Frequently asked questions
Questions
Answer
How is product recommendation different from matchmaking?
Product recommendation helps one customer choose from your own range, in a conversation: the right car, course or service. Matchmaking connects two sides of a market, such as buyers and properties or candidates and roles, by matching both sides' criteria and creating a deal for your team. A brokerage needs matchmaking; a dealership or online store needs recommendation.
Does the agent need a copy of our whole catalogue?
No. The agent searches your live database through a tool at the moment it recommends, so stock levels are current and nothing is copied out of date. In our Shopify demo, the agent was given only the store's product types and tags, searched by product name first, then by types, tags and variants, and showed the results as cards.
Can it book a test drive or consultation?
Yes. Once the customer has chosen, the agent books the test drive, viewing, consultation or service into your calendar in the same conversation, and writes their choice, requirements and the transcript to your CRM. Live calendar booking is an add-on on any chat or voice package, and appointment setting adds reminders so the booking actually happens.
What happens if nothing fits?
The agent suggests the closest alternatives you do have, and explains the difference honestly. If none of them suits the customer, it captures their requirements in your CRM so your team can follow up when the right option comes in. Over time, those records show what customers ask for that you don't yet offer.
Can it recommend extras after the first sale?
Yes. The same approach recommends the right extra at the right moment: an airport transfer or late check-out for a short-term rental guest, nearby restaurants that suit what they enjoy, or the next level of a course. Extras are chosen from what you actually offer, and the customer books or buys them in the conversation.
Does it work on the phone too?
Yes. An inbound AI voice agent answers product questions from your live inventory or service information. If the item a caller asked about has gone, or doesn't suit them, it suggests similar options you have, then books a viewing, test drive or consultation during the call. See AI voice agents for how inbound calls work.