Marqo
Use catalog-trained AI for ecommerce search and product discovery
- Tool type
- AI ecommerce product-discovery platform
- Made for
- Retailers and ecommerce merchandising teams
- Runs on
- Storefront integrations and API
What it does
Marqo is an AI product-discovery platform for online stores. It uses a merchant’s catalog and shopper interactions to train a model for search, recommendations and browsing. Semantic understanding, multilingual queries, typo handling and image search help customers find products, while automated ranking, boosts and collections support merchandising.
Setup begins by collecting interaction signals such as clicks, carts and purchases, then connecting the trained model to the storefront through an API or commerce integration. It is useful for retailers whose product relevance depends on their own inventory and customer behavior. Agree on catalog access, measurement and deployment during the demonstration, and compare performance with the current search experience. The commercial storefront product has a different deployment and support scope from Marqo’s open-source developer components.
What it can do
- Semantic product search
- Catalog-specific model training
- Recommendations
- Automated ranking and collections
- Multilingual queries
- Image search
Works with
- Shopify
- Adobe Commerce
- Salesforce Commerce Cloud
Before you choose
- The model depends on the quality of catalog data and shopper signals.
- Commercial implementation and pricing require a scoped agreement.
Listed under
Get started
- Discuss the catalog, storefront and success measures with Marqo.
- Configure interaction collection and supply the product data.
- Test search and recommendations before expanding the storefront rollout.
Plans and prices
Discuss catalog, traffic, integration and support requirements with the sales team.
Marqo doesn’t publish prices. You get a quote by contacting sales. See their pricing page ↗
Sources for this overview
Product pages, documentation, and pricing checked 30 Oct 2026. Each source supports part of the overview; availability and prices can change.
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Last checked 30 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.