See which answers lead to a purchase and which ones lead to an abandoned cart.
Buyers now ask their product questions in AI assistants and in your shop. Klariton measures how your products are classified, controls the answers that get served, and ties them to the revenue that follows.
- On purchase-relevant product questions, assistants recommend the competitor because your product data is not enough for the answer.
- Model comparisons, compatibility, delivery time and fit stay unanswered, and the uncertainty ends in an abandoned cart instead of a checkout.
- Answers drift the wrong way: expensive or high-margin products get recommended where a cheaper one fits, and the return eats the sale.
- Outdated prices, discontinued variants or wrong availability end up in the answers without anyone noticing.
- Nobody can show how much revenue actually comes out of AI recommendations and chat guidance.
Why a general-purpose chat assistant is not enough here
A general-purpose assistant phrases things fluently even when it does not know the variant, the price or the delivery time. That is exactly what produces returns and complaints. Klariton ties answers to your product data, notices when a field changes, and pulls the affected answer out of delivery instead of serving it on. And it traces back which answer actually led to the purchase.
The relevant question changes with the decision phase.
Which espresso machine suits limited space, frequent milk drinks, and easy cleaning?
A reliable answer is generated from the company’s approved sources. This example intentionally does not use invented answers or sources.
Test with your own sources →Buying questions that decide the conversion
- Which model fits my use case and my budget, and is available right now?
- Is accessory X compatible with the device I already own, or do I need an adapter?
- How do variants A and B differ in performance, maintenance and running costs?
- Is the more expensive model worth it for my needs, or is the entry variant enough?
- What does delivery cost, how long does it take, and how easy is the return?
Which Klariton modules matter here
Shows which real buying questions are asked about your products and where the answer currently leads to a competitor.
Catches product drift before it goes live: no answer with a wrong price, a discontinued variant or wrong availability.
Links chat guidance and AI recommendation to cart and revenue, so the contribution to conversion becomes measurable.
Keeps product claims, pricing statements and recommendation logic bound to your rulebook instead of risking mis-sales.
What improves
- Purchase-relevant product questions get answered correctly from your data, instead of losing the buyer to a competitor.
- Fewer drop-offs before checkout, because uncertainty about fit, compatibility and delivery is resolved before the decision.
- Approved, checked answers without outdated prices or wrong availability, with recommendation logic along your rules.
- Provable revenue contribution from AI recommendations and chat guidance instead of gut feeling.
Fits into your existing stack.
- Shopify AppApp ready · Marketplace review pending
- Product Import APIGuided setup
- Public Touchpoint DeliveryLive
- Schema Export APILive
- Chat Advisor Server IntegrationGuided setup
- Schema HelperLive
- Shopify Order WebhookLive
- Conversion & event ingestionLive
- Website embed (<klariton-widget>)Live
- Shop catalog / product dataLive