The mega e-commerce platform is debuting an upgraded visual search tool that enables customers to create product shortlists of the most relevant products

This August, e-commerce giant eBay is launching an AI-enabled visual search integration for its platform. Shoppers will be able to simply drag and drop images into the website’s search bar, allowing them to create a relevant short-list of sorts and browse through a more curated offering of products. 

While eBay launched its first visual search tool last year, which used computer vision to sort through the platform’s merchandise, the organization realized that the customer experience could be more seamless and personally-tailored to each buyer’s preferences. With over 2.1 billion products on eBay, the company had to teach its learning model to more accurately understand customer needs and pain points.

Starting in August, with its AI-enabled technology, the upgraded visual search tool is able to use its deep learning networks to more accurately provide shoppers with pertinent product suggestions. For the site's more aesthetically rich categories, such as apparel and home goods, eBay invested in specific learning models to hyper-curate suggestions from its vast array of merchandise.

Over time, eBay will further continue to improve its visual search function tool, enhancing the user experience of the platform and helping push shoppers down the purchase path. For its launch in August, the integration will be available on Android and iOS in the U.S., U.K., Germany and Australia.

eBay

This August, e-commerce giant eBay is launching an AI-enabled visual search integration for its platform. Shoppers will be able to simply drag and drop images into the website’s search bar, allowing them to create a relevant short-list of sorts and browse through a more curated offering of products. 

While eBay launched its first visual search tool last year, which used computer vision to sort through the platform’s merchandise, the organization realized that the customer experience could be more seamless and personally-tailored to each buyer’s preferences. With over 2.1 billion products on eBay, the company had to teach its learning model to more accurately understand customer needs and pain points.