Marqo

Marqo is an AI search and product discovery platform for ecommerce retailers. It replaces keyword based storefront search with a model trained on the retailer's own product catalog and shopper behavior, and it is sold to enterprise brands rather than to individual merchants. Setup starts with a pixel installed with a single line of code, which captures clicks, carts and purchases. Marqo then trains a dedicated model on the retailer's real catalog and interaction data, which the vendor says involves no synthetic data and no shared language model. The result interprets shopper intent rather than exact keywords, handles typos, synonyms, multilingual queries and conversational or voice searches, and maps queries to product attributes. The product suite covers personalized search results that reorder in real time from shopper behavior, smart filtering, self optimizing search, recommendations and collection pages. A merchandising layer automates ranking, boosts, filters and collections so merchandisers spend less time on manual rules. The vendor describes the experience as adapting between results, carousels, guided discovery and conversational search depending on shopper context. Marqo was founded by two former Amazon engineers, Tom Hamer and Jesse Clark, who started the company to close the gap between Amazon search conversion and the average storefront. The vendor publishes case studies reporting uplifts in search revenue, conversion and add to cart rates for retail customers. Pricing is not published. The site directs visitors to book a demo with a search expert, and the vendor promises measurable return in 14 days.