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Implementing IoT-Adaptive Fuzzy Neural Network Model Enabling Service for Supporting Fashion Retail

Authors:

Youqing FanAuthors Info & Claims

ICMLSC '20: Proceedings of the 4th International Conference on Machine Learning and Soft Computing

Pages 19 - 24

https://doi.org/10.1145/3380688.3380692

Published: 07 March 2020 Publication History

Abstract

The fashion industry operates in a fast moving and dynamic environment which requires fashion designers to respond to market trends continuously. This study investigates potential for application of Internet of Things (IoT) in fashion retail. Customer in-store behaviors may reflect their hidden preferences. This study is based on use of IoT as a framework of data collection tools to capture customer behaviors in-store. Artificial intelligence (AI) such Fuzzy logic and Adaptive Neuro-Fuzzy Inference System (ANFIS) are used to analyze customer purchasing intentions and simulation will be used to illustrate the model [1].

This study shows that IoT can obtain the required data of customer behaviors and use AI to analyze the preferences. It can be used in-store to help salespersons to respond to customer needs faster and accurately. The data obtained after analyzing can be used in supply chain planning.

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Cited By

De TSingh PPatel A(2024)A Machine learning and Empirical Bayesian Approach for Predictive Buying in B2B E-commerceProceedings of the 2024 8th International Conference on Machine Learning and Soft Computing10.1145/3647750.3647754(17-24)Online publication date: 26-Jan-2024
https://dl.acm.org/doi/10.1145/3647750.3647754
Raj RKaur VKrishan KNandy AChoudhary JKumar A(2024)A Fuzzy Inference System for Sustainable Outfit Recommendations in the Fashion Industry2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM)10.1109/ICIPTM59628.2024.10563320(1-6)Online publication date: 21-Feb-2024
https://doi.org/10.1109/ICIPTM59628.2024.10563320
Khargharia HRehman MBanerjee AMontori FForkan AJayaraman P(2023)Towards Marketing 4.0: Vision and Survey on the Role of IoT and Data ScienceSocieties10.3390/soc1304010013:4(100)Online publication date: 10-Apr-2023
https://doi.org/10.3390/soc13040100
Show More Cited By

Index Terms

Implementing IoT-Adaptive Fuzzy Neural Network Model Enabling Service for Supporting Fashion Retail
1. Applied computing
  1. Enterprise computing
    1. Enterprise modeling

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ICMLSC '20: Proceedings of the 4th International Conference on Machine Learning and Soft Computing

January 2020

175 pages

ISBN:9781450376310

DOI:10.1145/3380688

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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NICT: National Institute of Information and Communications Technology

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Published: 07 March 2020

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ICMLSC 2020: The 4th International Conference on Machine Learning and Soft Computing

January 17 - 19, 2020

Haiphong City, Viet Nam

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Cited By

De TSingh PPatel A(2024)A Machine learning and Empirical Bayesian Approach for Predictive Buying in B2B E-commerceProceedings of the 2024 8th International Conference on Machine Learning and Soft Computing10.1145/3647750.3647754(17-24)Online publication date: 26-Jan-2024
https://dl.acm.org/doi/10.1145/3647750.3647754
Raj RKaur VKrishan KNandy AChoudhary JKumar A(2024)A Fuzzy Inference System for Sustainable Outfit Recommendations in the Fashion Industry2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM)10.1109/ICIPTM59628.2024.10563320(1-6)Online publication date: 21-Feb-2024
https://doi.org/10.1109/ICIPTM59628.2024.10563320
Khargharia HRehman MBanerjee AMontori FForkan AJayaraman P(2023)Towards Marketing 4.0: Vision and Survey on the Role of IoT and Data ScienceSocieties10.3390/soc1304010013:4(100)Online publication date: 10-Apr-2023
https://doi.org/10.3390/soc13040100
Kosasih EPapadakis EBaryannis GBrintrup A(2023)A review of explainable artificial intelligence in supply chain management using neurosymbolic approachesInternational Journal of Production Research10.1080/00207543.2023.228166362:4(1510-1540)Online publication date: 24-Nov-2023
https://doi.org/10.1080/00207543.2023.2281663

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