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Inside the AI Product Data Platform

Find the product details that decide a purchase.

The answers customers need before they buy are often scattered across technical documents, videos, forums, reviews and past customer questions.

Sourcing Agent pulls them together so Product Engine can suggest enrichments for your team to review.

  • Product catalog, Technical documents, Videos and forums, Customer reviews, Customer conversations
  • Sourcing Agent, Product Engine
  • Suggestion
    • Technical document: Bathroom wall tiles: yes
    • Technical document: Inside a shower: no, direct contact with water
    • Customer reviews: Prep: degrease, then sand lightly
From gaps to answers

Spot what's missing before it stalls a purchase.

Product Engine turns missing details, recurring objections and conflicting information into suggestions linked to their sources. Your team approves, edits or rejects each one in Merchant Console before it becomes part of your product knowledge.

01

Collect the sources

Sourcing Agent collects information from your product catalog, technical documents, videos and forums, customer reviews and customer conversations.

02

Suggest the fix

Product Engine turns a missing detail or a recurring objection into a suggestion linked to its source.

03

You have the final say

Your team approves, edits or rejects each suggestion in Merchant Console before it's used anywhere.

The improvement loop

Turn customer questions into better product answers.

Customer conversations show you what's missing: the details, objections and comparisons that decide a purchase.

Querytail is designed to turn the conversations you authorize into suggested enrichments. Your team approves each one before any AI tool reuses it.

Next step

Help your customers choose with confidence.

Share your website and we'll tailor the conversation to your products and the questions your customers ask.

Request a demo