Artificial Intelligence | Fashion | Retail

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Inside Look: Fashion Retail’s AI and Big Data Revolution

This is part of our Why Analytics Matters series, which examines how BigData, Cloud and Analytics are disrupting niche industries. This month, we are focused on the ultra-competitive world of fashion, where retailers are embracing AI and tech to improve customer experiences. Brick-and-mortar fashion retailers have been getting smashed by e-commerce in the last five years. The reason is simple: Tools like BigData, AI and Analytics are giving e-retailers the upper hand. Most online sellers have piles of clickstream data at their fingertips. And they’re using technologies like machine learning and advanced analytics to gain valuable insights from that data to help reduce out-of-stocks, improve customer experiences and grow revenue. Data is the secret sauce that can revolutionize brick-and-mortar fashion brands. fashion retailers. In an industry so influenced by trends and buyer emotion, tech that can help brands uncover trends (and micro trends) faster and better understand emotional drivers provides a competitive edge. Now, brick-and-mortar fashion houses are starting to invest capital to play a fast game of catch-up. A number of top fashion companies - from Macy’s to Nordstrom’s, as well as smaller more nimble brands – are integrating AI tools into their businesses, to make in-store shopping resemble digital transactions. How exactly?

How Rebecca Minkoff Uses Tech to Make Her Stores Stand Out via Engadget

How Rebecca Minkoff Uses Tech to Make Her Stores Stand Out via Engadget

Designer Rebecca Minkoff is using tech to reimagine the in-store shopping experience. That includes initiatives like apps and touchscreens that enable customers to ask for an associate; as well as utilizing RFID tags for self-checkout shopping. RFID tags are sensors attached to clothing items, and when they’re brought up to Minkoff’s self-checkout kiosks, they automatically register items on the checkout screen. Additionally, tech innovations like ordering clothing deliveries from fitting rooms and smart mirrors are helping Minkoff differentiate her stores from competitors.

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The Future of AI in Fashion via Glossy

The Future of AI in Fashion via Glossy

Cosabella, a high-end lingerie designer, had a problem: They had a lot of data and didn’t know what to do with it. The solution: They embraced AI and machine learning to gain insights into product performance, to determine which products sold, and to identify slow selling products that could be tweaked. By using AI, Cosabella was able to leverage its data and in the process reduced waste, out-of-stocks, and sped up its product development process. Another interesting use case: Smart product recommendations built on customer’s preferences. Frank + Oak, a high-end menswear brand, found the AI enhanced recommendations improved conversion rates by a factor of two.

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Is Fashion Ready for the AI Revolution? via Business of Fashion

Is Fashion Ready for the AI Revolution? via Business of Fashion

Author Kate Abnett’s deep dive into AI covers a range of innovative solutions that are helping fashion retailers work smarter. For example, startup Edited is using machine learning to analyze thousands of images and identify clothing items, which brands can then use to learn about competitors and make strategic inventory decisions. Other innovative AI fueled products include visual fashion search apps, guided shopping experiences, and tools that can spit out machine generated designs. How can fashion retailers jump on the AI bandwagon? The best solution, the author suggests, is partnering with experienced, fashion focused companies that understand AI, rather than trying to do it themselves.

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Macy's Tests AI As a Way to Improv Sales via L.A. Times

Macy's Tests AI As a Way to Improv Sales via L.A. Times

In the world of e-commerce, brands have fully embraced the AI enabled ChatBots. But that solution doesn’t quite translate to the brick-and-mortar experience. Macy’s, though, is testing a solution called On Call that could provide an answer. The app, which Macy’s calls a “mobile assistant,” is like a store specific Siri. Users can ask On Call questions like where a particular brand is located and On Call provides directions. Want to know if a dress or pair of pants is available in your size? Just ask On Call. Need some help? The app enables you to call a customer service rep. What’s more: The app uses real-time sentiment analysis to determine if a customer is frustrated, and can then, in turn, alert an associate to help. And like all AI apps, with each interaction, it keeps getting smarter.

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Reformation’s High-Tech Store Reimagines Clothes Shopping via Fast Company

Reformation’s High-Tech Store Reimagines Clothes Shopping via Fast Company

Reformation, a New York based fashion house wanted to re-envision the store experience. Think: Applying the design and technology of an Apple Store to the clothes buying experience. The solution: Reformation’s latest store features smart boards, in which customers can choose outfits, which then arrive in the fitting room for them. They have integrated AI to process data about what sizes and styles attract the most attention. And they’re working on solutions for connecting online and offline shopping. As Yael Aflalo, Reformation’s founder puts it: It’s time for retailers to rebuild and re-envision the brick-and-mortar shopping experience and use tech to make it better.

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