How Image Recognition Helps Automate Content Management and Drives Sales in E-commerce 

AI image tools and tips to improve your eCommerce and Real Estate sites.
Michal Lukáč, Ximilar
Michal Lukac
11. October 2017
E-commerce in AI

E-commerce websites employ huge content management teams to improve their listings and drive sales. A lot of information can be extracted and automated visual data — from furniture listingshotel room listingsreal-estate listings to apparel e-commerce sites.

Progress in artificial intelligence and computer vision now allow these companies to automate part of their content team and vastly improve their listings while driving up sales.

E-commerce competition is fierce.

Huge retailers sell near commoditized items, and consumers are looking for a more personalized experience. They want to buy unique products cheap. E-commerce sites need to improve their listings and offer the most relevant items to potential buyers. Vast content management teams must manually go through never ending feeds of items from suppliers. It is manual and tedious work.

E-commerce sites need to improve their listings and offer the most relevant items to potential buyer.

How can image recognition help?

The solution is to use custom image recognition. E-commerce sites can easily train their own image recognizers. You can integrate Ximilar platform to process the vast and dynamic product catalogue. You can fine-grain categorize the products or listing and offer customers quickly find what they are looking for. It also allowed automating the routine and tedious work of the content management team, who could focus on more quality work of content creation and automate categorization.

Chair AI Tags

Using deep learning based image recognition allows you to recognize very specific features of the products — like whether the chair has armrests or not or what kind of face a bed has. Users on your website can then easily specify what they are looking for and filter the product listing accordingly — driving up the sales.

How can visual search help?

Your customers can find alternatives that are recommended by our visual search system. Simply said, your e-commerce site will offer a better & faster navigation of your product catalogues whether it is a home-decor item or real estate listing. This significantly improves customer experience and in the end the revenues generated by your shop.

How can AI image tools help?

Always show images and content on your site with the highest quality possible. Our Image Upscaler API can enhance and improve the photos that you are presenting on your real estate site or e-commerce platform.

In short.

Implementing visual artificial intelligence delivers real value to e-commerce and real estate sites. Cutting down content team costs, allowing for better customer engagement and driving up sales.

Call to action

Ximilar offers tools for real estate and e-commerce websites to easily implement image recognition, such as described above. Improve the content management of your e-commerce site.

Michal Lukáč, Ximilar

Michal Lukáč CEO, ML Expert & Co-founder

Michal is a CEO of Ximilar and a machine learning expert focusing mainly on image recognition, visual search and computer vision. He is interested in science, loves reading books and Brazillian Jiu-Jitsu.

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