E-Commerce: AI and vision to structure product data sheets on a massive scale

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Improving the user experience in a highly competitive environment

In the fast-paced world of B2C platforms, delivering a simple, intuitive, and seamless user experience is a strategic priority. The company operating this platform aimed to boost merchant visibility while making browsing effortless for consumers. A major challenge, however, was the inconsistency in how merchants classified and described their products. Without standardization, item display and categorization became error-prone, harming the overall user experience.

AI-powered tools to structure product information

To streamline and secure product integration, Explorai developed a set of AI-driven tools. One module analyzes merchant-provided titles and descriptions using large language models to automatically suggest the most appropriate product category. Another module uses image recognition to validate and reinforce this classification by analysing product photos directly. In addition to improving categorization accuracy, the system also flags unauthorized items (such as weapons), adding a built-in layer of security.

More consistent data for better sales performance

The integration of these AI tools has significantly enhanced data quality across the platform - delivering more consistent descriptions, improved structure, and smoother navigation for users. The category prediction accuracy now exceeds 80%, greatly reducing the need for manual intervention. Additionally, the time required to onboard new merchants has dropped considerably, accelerating storefront launches and improving access to the market.

Towards a more agile, automated platform

This transformation has helped the platform solidify its role as a trusted player in the B2C ecosystem. The intelligent automation of data entry processes boosts operational efficiency while also fostering merchant growth by enabling faster onboarding and providing advanced technological support.