A shop assistant for every visitor
Shoppers describe what they need in their own words; the agent asks a question or two and suggests products from your live catalog.
“Under $100 for a runner?”
3 picks in stock
The problem
Filters can't ask a follow-up
'A gift under $100 for a runner' doesn't map to a filter. Shoppers who can't find it leave, even though you stock it.
The conversation
How LiveCart handles it
Shopper describes
A need, a budget or an occasion.
Agent asks
One or two clarifying questions, not a quiz.
Agent suggests
Products with price, stock and a link.
Built in
What makes it work
- 01
Live catalog
Recommendations from your current products and stock.
- 02
Comparisons
Side-by-side differences in plain words.
- 03
Into a call
For big purchases, offer a video call with an advisor.
Results
What to measure
- Recommendation clicks
- Conversations that add to cart
- Escalations to advisors
FAQ
Questions, answered
Still curious? Ask our team
Where does product data come from?
Your store connection or product feed, kept in sync.
Keep exploring
- BlogAI product recommendations: one good question, three honest suggestionsHow to make an AI agent recommend the right products: live catalog data, asking one good question, comparing honestly and knowing when to involve a person.Learn more
- FeatureAI agentAnswers product, order and policy questions from your own data.Learn more
- IndustryConsumer electronicsSpecs, compatibility and setup questions handled fast.Learn more
- Use caseCustomer supportClear the same twenty questions in seconds and send the rest to your team, summarised.Learn more
Try it on your own store
Paste one snippet. Ask it what your customers ask.