Market Report: Visual Search SaaS Fashion Technology, Apr 2016

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FashionTech: Visual Search and Artificial Intelligence in E-commerce

This report profiles 23 companies in the FashionTech: Visual Search niche: Asap54, Cortexica, Deepomatic, Fashwell, iLenze, Just Visual, Kuznech, Mad Street Den, Picalike, Pomika, SamSamia, Sentient Technologies, Shot and Shop, Skimlinks, Slyce, Smartsy, Snap Fashion, Snapshopr, The Hunt, ViSenze, Wazzatlabs, Wide Eyes, and Wishary.

We conducted 14 in-depth interviews (30 minutes+) with C-level executives in the key companies. We also interviewed industry specialist Eric Olson (Ex-Nordstrom) as a part of this report.

 PDF format report with 63 pages. Downloadable after payment.

Download a summary for this report here

Image Search Visual Recommendations

Visual Search allow your customers to engage with your company using imagery as a communication tool. Customers can search retaile catalogues using images and retailers can offer customers a more personalised and unique shopping journey by implementing visual search tools such as Machine Learning and Artificial Intelligence.

The most popular product is currently search similar with most of the companies interviewed relating to this. The mobile app snap-to-go API segment is facing increasing competition from startups with more advanced technology, but offering a stable tried-and-tested product is more important for the larger ecommerce clients.

Machine Learning and Artificial Intelligence technologies have developed faster than ecommerce use cases leading to issues with explaining possibilities.

The leading ecommerce stores have started recruiting their own in-house  teams of ML and AI scientists to develop these technologies offering competition to the sector. However, with an increased understanding of technologies there will also be opportunities for Visual Search companies to sell their products and explain use cases.

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