IoT Driven by Machine Learning (MLIoT) for the Retail Apparel Sector

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Author(s): Kutubuddin Sayyad Liyakat Kazi (BMIT, Solapur, India)
Copyright: 2024
Pages: 19
Source title: Driving Green Marketing in Fashion and Retail
Source Author(s)/Editor(s): Theodore Tarnanidis (International Hellenic University, Greece), Evridiki Papachristou (International Hellenic University, Greece), Michail Karypidis (International Hellenic University, Greece)and Vasileios Ismyrlis (Hellenic Statistical Authority, Greece)
DOI: 10.4018/979-8-3693-3049-4.ch004

Keywords: Business & Management / Business Science Reference / Marketing / Marketing and Consumer Behavior

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Abstract

Despite the challenges faced, the future of the apparel retail industry looks promising, with endless opportunities for growth and development. Automated body measurements and size suggestions for customers is a game-changer in the world of online shopping. It offers convenience, accuracy, inclusivity, and sustainability, benefiting both customers and retailers. With the constant advancements in technology, it is safe to say that this system will continue to evolve and improve, making the online shopping experience even more seamless and personalized in the future. MLIoT is transforming the retail apparel sector by providing retailers with real-time insights, automation, and personalization.

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