AI for boosting second-hand

Long description

We want to build a software-as-a-service B2B solution for the second-hand fashion platforms.

The Problem

Mid-large Second-hand fashion platforms receive photos of  used cloth items that people want to sell. The platform needs to categorise it (type of clothes, material, color, etc) to make it available in the platform so that buyers can find that they are looking for.  This categorisation is being done manually but most of the platforms in LATAM and is prone to error – some of them take more than 72 hours to publish the item because of this constraint -. Plus, they current have no information to assess the contribution they are making to the environment as they run a business that extends the lifespan of products.

The Solution

We want to provide an AI service that automatically analyses the photo and inmediately provides the platform data that indicates the item type, color, material among other characteristics, plus the estimated carbon foot print of the item being sold. With this information, the platform can

• Increase consumers satisfaction as they can automatically post the photos with curated data online, increasing their users satisfaction. T
• Increase sells: as they can also benefit from the curated data by providing better recommendations and profit from cross-selling.
• Estimate their contribution to the environmental issues: the carbon foot print estimation at item level can help the platform asses their impact.
• Reduce the time and cost it takes to process the photos while guaranteeing good-quality and standarize data.

Additional Images