Beni: Refuel helps Beni improve accuracy from 46% to 87% on product catalog of 200M+ items, driving partner revenue increase

In the competitive $245 billion resale market, Beni, a secondhand shopping tool, successfully partnered with Refuel to tackle the challenge of data normalization across its extensive catalog of over 200 million items. By utilizing Refuel's custom large language models (LLMs), Beni was able to significantly enhance the accuracy of normalized size values from 46% to 87% with minimal effort, surpassing their target of 80%. This enhancement resulted in notable operational efficiencies, including a remarkable 99% reduction in data quality issues for some reseller partners and a substantial 245% increase in Gross Merchandise Value for a major partner. This collaboration underscores the transformative potential of AI-driven solutions in managing large-scale retail data, illustrating how Beni improved its search and recommendation systems through effective use of Refuel's platform. The success story is a testament to the power of AI and LLMs in refining data quality and enhancing user experiences in the resale market.

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