← Back to Research Radar
Academic Publication Academic Publication

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

54
Citations
May 28, 2024
Published Date

Research Abstract & Technology Focus

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.
driven machine learning mliot retail apparel
Read Full Literature

Commercial Realization

Startups and Open Source tools heavily associated with the concepts explored in this paper.

  • GitHub
    gsd-build/gsd-2
    A powerful meta-prompting, context engineering and spec-driven deve...
  • GitHub
    THU-MAIC/OpenMAIC
    Open Multi-Agent Interactive Classroom — Get an immersive, multi-ag...
  • Product Hunt
    Superset
    Run an army of Claude Code, Codex, etc. on your machine
  • Product Hunt
    Influcio
    AI marketing Agent for result-driven influencer campaign

Associated Media Narrative