As competition heats up in e-commerce and retail, startups are leveraging AI to personalize the product discovery process for buyers and retailers alike.
The e-commerce and retail landscapes are becoming increasingly competitive — especially as Amazon has asserted its dominance, claiming almost 40% of e-commerce sales in the US over the 2017 holiday season.
Faced with increasing pressure from dominant players, many smaller retail and e-commerce companies are seeking strategies to differentiate themselves and attract consumers. In response, startups have emerged to help retailers and e-commerce players streamline operations and personalize customer service, often through the use of AI-powered technology.
Specifically, many startups are leveraging AI to improve product discovery for both consumers and the retailers servicing them.
While startups like Twiggle focus on improving e-commerce searches through natural language processing, others, like Trax, help retailers optimize their product display for customers by using machine vision technology.
We rounded up 28 startups using AI to improve product discovery and organized them by categories including natural language processing, machine vision, product optimization, and more. Check out the full category breakdown below.
This market map consists of private, active companies only and is not meant to be exhaustive of the space. Categories are not mutually exclusive, and companies are mapped according to primary use case.
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