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Artificial Intelligence for Fashion

Author: Leanne Luce

Publisher: Apress

Published: 2018-12-08

Total Pages: 225

ISBN-13: 1484239318

Learn how Artificial Intelligence (AI) is being applied in the fashion industry. With an application focused approach, this book provides real-world examples, breaks down technical jargon for non-technical readers, and provides an educational resource for fashion professionals. The book investigates the ways in which AI is impacting every part of the fashion value chain starting with product discovery and working backwards to manufacturing. Artificial Intelligence for Fashion walks you through concepts, such as connected retail, data mining, and artificially intelligent robotics. Each chapter contains an example of how AI is being applied in the fashion industry illustrated by one major technological theme. There are no equations, algorithms, or code. The technological explanations are cumulative so you'll discover more information about the inner workings of artificial intelligence in practical stages as the book progresses. What You’ll Learn Gain a basic understanding of AI and how it is used in fashion Understand key terminology and concepts in AI Review the new competitive landscape of the fashion industry Conceptualize and develop new ways to apply AI within the workplaceWho This Book Is For Fashion industry professionals from designers, managers, department heads, and executives can use this book to learn about how AI is impacting roles in every department and profession.

Artificial Intelligence for Fashion Industry in the Big Data Era

Author: Sébastien Thomassey

Publisher: Springer

Published: 2018-05-16

Total Pages: 289

ISBN-13: 9811300801

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This book provides an overview of current issues and challenges in the fashion industry and an update on data-driven artificial intelligence (AI) techniques and their potential implementation in response to those challenges. Each chapter starts off with an example of a data-driven AI technique on a particular sector of the fashion industry (design, manufacturing, supply or retailing), before moving on to illustrate its implementation in a real-world application

Artificial Intelligence on Fashion and Textiles

Author: Wai Keung Wong

Publisher: Springer

Published: 2018-10-13

Total Pages: 348

ISBN-13: 3319996959

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The book includes the Proceedings of the Artificial Intelligence on Fashion and Textiles conference 2018 which provides state-of-the-art techniques and applications of AI in the fashion and textile industries. It is essential reading for scientists, researchers and R&D professionals working in the field of AI with applications in the fashion and textile industry; managers in the fashion and textile enterprises; and anyone with an interest in the applications of AI. Over the last two decades, with the great advancement of computer technology, academic research in artificial intelligence (AI) and its applications in fashion and textile supply chain has been becoming a very hot topic and has received greater attention from both academics and industrialists. A number of AI-related techniques has been successfully employed and proven to handle the problems including fashion sales forecasting, supply chain optimization, planning and scheduling, textile material defect detection, fashion and textile image recognition, fashion image and style retrieval, human body modeling and fitting, etc.

AI in Fashion Industry

Author: Satya Banerjee

Publisher: Emerald Group Publishing

Published: 2022-02-14

Total Pages: 176

ISBN-13: 1802626352

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AI in Fashion Industry discusses recent developments in fashion forecasting, developing a 'framework of AI-based fashion forecasting' and validates the framework with a qualitative case study of the world's first fashion intelligence company based in Bengaluru, India.

Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI)

Author: Calvin Wong

Publisher: Elsevier

Published: 2013-01-24

Total Pages: 250

ISBN-13: 0857097849

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Practitioners in apparel manufacturing and retailing enterprises in the fashion industry, ranging from senior to front line management, constantly face complex and critical decisions. There has been growing interest in the use of artificial intelligence (AI) techniques to enhance this process, and a number of AI techniques have already been successfully applied to apparel production and retailing. Optimizing decision making in the apparel supply chain using artificial intelligence (AI): From production to retail provides detailed coverage of these techniques, outlining how they are used to assist decision makers in tackling key supply chain problems. Key decision points in the apparel supply chain and the fundamentals of artificial intelligence techniques are the focus of the opening chapters, before the book proceeds to discuss the use of neural networks, genetic algorithms, fuzzy set theory and extreme learning machines for intelligent sales forecasting and intelligent product cross-selling systems. Helps the reader gain an understanding of the key decision points in the apparel supply chain Discusses the fundamentals of artificial intelligence techniques for apparel management techniques Considers the use of neural networks in selecting the location of apparel manufacturing plants

Adoption and Implementation of AI in Customer Relationship Management

Author: Singh, Surabhi

Publisher: IGI Global

Published: 2021-10-15

Total Pages: 289

ISBN-13: 1799879615

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Integration of artificial intelligence (AI) into customer relationship management (CRM) automates the sales, marketing, and services in organizations. An AI-powered CRM is capable of learning from past decisions and historical patterns to score the best leads for sales. AI will also be able to predict future customer behavior. These tactics lead to better and more effective marketing strategies and increases the scope of customer services, which allow businesses to build healthier relationships with their consumer base. Adoption and Implementation of AI in Customer Relationship Management is a critical reference source that informs readers about the transformations that AI-powered CRM can bring to organizations in order to build better services that create more productive relationships. This book uses the experience of past decisions and historical patterns to discuss the ways in which AI and CRM lead to better analytics and better decisions. Discussing topics such as personalization, quality of services, and CRM in the context of diverse industries, this book is an important resource for marketers, brand managers, IT specialists, sales specialists, managers, students, researchers, professors, academicians, and stakeholders.

Enlightened Marketing in Challenging Times

Author: Felipe Pantoja

Publisher: Springer Nature

Published: 2020-09-17

Total Pages: 658

ISBN-13: 3030425452

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This volume explores the interconnection of social, political, technological and economic challenges that impact consumer relationships, new product launches and consumer interests. Featuring contributions presented at the 2019 Academy of Marketing Science (AMS) World Marketing Congress (WMC) held in Edinburgh, Scotland, the theme of this proceedings draws from the Scottish Enlightenment movement of the mid-Eighteenth Century, which centered on ideas of liberty, progress and the scientific method. The core values of this movement are being challenged by the rapidly changing, globally shifting and digitally connected world. The contributions presented in this volume reflect and reframe the roles of marketers and marketing in incorporating and advancing the ideas of the Scottish Enlightenment within contemporary marketing theory and practice. Founded in 1971, the Academy of Marketing Science is an international organization dedicated to promoting timely explorations of phenomena related to the science of marketing in theory, research, and practice. Among its services to members and the community at large, the Academy offers conferences, congresses, and symposia that attract delegates from around the world. Presentations from these events are published in this Proceedings series, which offers a comprehensive archive of volumes reflecting the evolution of the field. The series deliver cutting-edge research and insights, complementing the Academy’s flagship journals, the Journal of the Academy of Marketing Science (JAMS) and AMS Review (AMSR). Volumes are edited by leading scholars and practitioners across a wide range of subject areas in marketing science.

AI by Design

Author: Catriona Campbell

Publisher: CRC Press

Published: 2022-03-14

Total Pages: 161

ISBN-13: 1000554988

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This book introduces the reader to Artificial Intelligence and its importance to our future. Campbell uses behavioural psychology, explores technology, economics, real-life and historical examples to predict five future scenarios with AI. Illustrating through speculative fiction, she describes possible futures after AI exceeds human capabilities. We are at a tipping point in history and must plan to ensure a successful co-existence with artificial intelligence. This book explains how to design for a future with AI so that, rather than herald our downfall, it helps us achieve a new renaissance.

Artificial Intelligence Applications and Innovations

Author: Ilias Maglogiannis

Publisher: Springer

Published: 2020-05-30

Total Pages: 458

ISBN-13: 9783030491857

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This 2 volume-set of IFIP AICT 583 and 584 constitutes the refereed proceedings of the 16th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2020, held in Neos Marmaras, Greece, in June 2020.* The 70 full papers and 5 short papers presented were carefully reviewed and selected from 149 submissions. They cover a broad range of topics related to technical, legal, and ethical aspects of artificial intelligence systems and their applications and are organized in the following sections: Part I: classification; clustering - unsupervised learning -analytics; image processing; learning algorithms; neural network modeling; object tracking - object detection systems; ontologies - AI; and sentiment analysis - recommender systems. Part II: AI ethics - law; AI constraints; deep learning - LSTM; fuzzy algebra - fuzzy systems; machine learning; medical - health systems; and natural language. *The conference was held virtually due to the COVID-19 pandemic.

Fashion Futures

Author: Bradley Quinn

Publisher:

Published: 2012

Total Pages: 0

ISBN-13: 9781858945637

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This title presents a wide-ranging survey of the visionary clothing designs, new materials, cutting-edge technologies, and emerging trends shaping the future of fashion. The book features interviews with leading designers and trend forecasters.