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Five Artificial Intelligence Startups Disrupting Fashion

AI use cases and applications extend beyond mere chatbots, when it comes to elevating customer experience. AI can help with visual search and product discovery, enabling customers to search for celebrity worn clothes from their social networks to online platforms.


AI solutions can also support in “completing the look” wherein customers get AI-based recommendations on products that complement the initial purchase, enabling customers to try out and purchase more. To a lesser extent, AI is also enabling accurate size measurements for products.



New York-based Findmine deploys an AI-based cost-efficient and scalable solution that offers personalization to clients by allowing them to "complete the look" by making relevant recommendations at the point of sale, thereby incentivizing them to make a purchase.

Findmine’s AI solution automates the creation of complete outfits across the product catalog of the retailer, while authentically representing brand identity. The technology leverages machine learning, natural language processing and image processing. Findmine uses different open-source algorithms as well as human intelligence loops to help make better the solution on product classification and outfitting over time.

Today, Findmine serves more than 11 million outfits daily across e-commerce, mobile commerce and marketing channels. The solution has the capability to track performance of outfits across all channels, and enabling not just visual merchandising but enabling good customer recommendations. FindMine has raised $1.7 million from XSeed Capital, Kiwi Ventures, RevTech, and XRC Labs, as well as a handful of angel investors

Tel Aviv-based enables retailer to add a white-labeled feature, called Visual Search for All, to its mobile website or application within 24 hours. It lets shoppers upload photos saved on their phones, like screenshots from Instagram, to find similar products for sale. By leveraging AI, Syte creates shopping opportunities, based on available in-stock inventory or extended to third-party sellers the retailer may want to include within its ecosystem. offers other use cases including allowing the consumer to easily shop visually similar items without manual search. The endless aisle concept of enables consumers to zero-upon other compatible products, in case their chosen item is out of stock.

A monthly license fee is levied from clients based on the number of image-matches likely to be used.



Heuritech, a Paris-based startup, enables automatic real-time object identification, and provides an AI-powered virtual assistant that spots the latest fashion trends through an analysis of millions of images shared by users on social media networks. Heuritech’s AI solution captures all these trends in real-time, and helps fashion brands in adapting their designs, and better planning their product mix, months before intended launch. Some other use cases of the Heuritech platform include managing purchases/restocking, optimizing customer recommendations, product merchandising and for segmenting consumer personas for better micro-targeting them.

Some of the first customers of the Heuritech platform include luxury fashion brands, Louis Vuitton and Christian Dior that leverage the platform's strategic "moodboards" for their product planning and development work.

New York-headquartered tracks consumer intent across social networks, providing clients with real-time insights into products within their categories that they are competing with, and the brands that claim the most “intent”—and consumer dollars—at a given time.

Using natural language programming, Cherrypick is able to analyze the thousands of comments left on the social networks of each brands’ Instagram posts daily. The AI integrates with marketing tools to trigger customer-specific alerts.

Headliner Labs

Headliner Labs

New York-headquartered Headliner Labs offers an end-to-end marketing platform to retail companies to create AI-enabled chatbots that facilitates conversations between brands and their customers.

With Headliner AI’s software, a brand can develop an on-demand branded chatbot that can be leveraged with the company’s products and content. The software builds separate strategic channels for sales conversions and microtargeted follow-ups of users. Headliner has natural language processing (NLP) capabilities that are hyper-specialized for retail queries.

Headliner chatbots are able amplify drive consumer engagement, build brand stories, create sale conversions, and bridge the gap between online and offline experiences. The chatbots are integrated with the retail client’s mobile messaging platforms, and help develop creative user experiences such as virtual try-on, recommendation algorithm-based guided selling and image processing.

Headliner Labs claims a 10% sales conversion from its personalized messaging capabilities.

In Conclusion

AI will positively impact the overall online customer experience, from searching for clothes, to selecting clothes, to getting the right product fit.


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