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Keeps seller listings aligned with your brand
Speed up time to market with Hypotenuse AI powering Mirakl
Speed up time to market with Hypotenuse AI powering Mirakl
AI that prepares your catalog for scale
Frequently Asked Questions
What does Hypotenuse AI do for a Mirakl marketplace?
It turns incoming seller data into channel-ready listings. Hypotenuse AI reads seller-submitted product data, fills gaps, generates descriptions, standardizes images against your marketplace rules, then pushes complete listings back into Mirakl.
How does the Mirakl integration work?
Hypotenuse AI connects to your Mirakl instance and pulls in seller-submitted product data. Enrichment, content generation and image standardization happen inside Hypotenuse AI, where your team reviews and approves. Approved listings are written back to the Mirakl fields you map during setup.
Can we enforce our content standards on seller-submitted data?
Yes. Rules for required attributes, banned terms, image specifications and category mapping run over incoming seller data, and anything that fails routes to a review queue before it reaches your storefront.
Will it work with our variant structure?
Yes. Hypotenuse AI supports multi-level product hierarchies and generates content at the level your listings are built on. Your variant structure is mapped during implementation so copy stays unique where it needs to be.
How accurate is the generated content?
Every enriched value carries a confidence score, the reasoning behind it and the source it came from. Confidence thresholds are configurable per attribute, so low-confidence values route to a review queue while high-confidence values flow through automatically.
Can we start without building the integration first?
Yes. Teams often start with a data export from Mirakl to test output on a sample of seller listings, then switch to the live connection once content standards and attribute rules are set.
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