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Improve catalog quality
Refuel improves product catalog normalization and fill rates and enrichment via custom LLMS.
The impact? Exceptional accuracy and a substantial reduction in data quality issues.
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Refuel improves product catalog normalization and fill rates and enrichment via custom LLMS.
The impact? Exceptional accuracy and a substantial reduction in data quality issues.
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Refuel models are available at a fraction of the cost of general-purpose LLMs.
New workflows can be built and deployed in less than a week with limited engineering resources.
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Deliver a stronger customer experience and drive an increase in GMV.
Refuel improves product catalog data, higher quality search and better recommendations.
Refuel’s domain-specific LLMs evaluate and improve data quality from suppliers based on your guidelines.
Refuel Cloud identifies low-confidence fields and offers recommendations to enhance data quality.
Refuel analyzes multimodal data supplied by vendors, evaluating it against typical fraud patterns.
Simultaneously, Refuel confirms that prohibited items or IP infringements aren’t contained in content.
Create a more comprehensive set of tags for display, search and recommendations.
Refuel analyzes product descriptions and images to generate product tags and relevant attributes
Refuel’s LLMs trained on your platform consumer behavior improve recommendation quality by 30%!
The byproduct is a significant increase in add-to-cart rates and GMV increase for your platform.
See how Refuel can streamline data operations and drive GMV growth for your marketplace.
