Artificial Intelligence for Fashion
Title | Artificial Intelligence for Fashion PDF eBook |
Author | Leanne Luce |
Publisher | Apress |
Total Pages | 225 |
Release | 2018-12-08 |
Genre | Computers |
ISBN | 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
Title | Artificial Intelligence for Fashion Industry in the Big Data Era PDF eBook |
Author | Sébastien Thomassey |
Publisher | Springer |
Total Pages | 289 |
Release | 2018-05-16 |
Genre | Business & Economics |
ISBN | 9811300801 |
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
AI in Fashion Industry
Title | AI in Fashion Industry PDF eBook |
Author | Satya Banerjee |
Publisher | Emerald Group Publishing |
Total Pages | 176 |
Release | 2022-02-14 |
Genre | Business & Economics |
ISBN | 1802626352 |
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.
Artificial Intelligence on Fashion and Textiles
Title | Artificial Intelligence on Fashion and Textiles PDF eBook |
Author | Wai Keung Wong |
Publisher | Springer |
Total Pages | 348 |
Release | 2018-10-13 |
Genre | Technology & Engineering |
ISBN | 3319996959 |
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.
Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI)
Title | Optimizing Decision Making in the Apparel Supply Chain Using Artificial Intelligence (AI) PDF eBook |
Author | W. K. Wong |
Publisher | Woodhead Publishing |
Total Pages | 0 |
Release | 2013-01-24 |
Genre | Business & Economics |
ISBN | 9780857097798 |
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.
Adoption and Implementation of AI in Customer Relationship Management
Title | Adoption and Implementation of AI in Customer Relationship Management PDF eBook |
Author | Singh, Surabhi |
Publisher | IGI Global |
Total Pages | 289 |
Release | 2021-10-15 |
Genre | Business & Economics |
ISBN | 1799879615 |
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.
Transforming Management Using Artificial Intelligence Techniques
Title | Transforming Management Using Artificial Intelligence Techniques PDF eBook |
Author | Vikas Garg |
Publisher | CRC Press |
Total Pages | 215 |
Release | 2020-11-09 |
Genre | Computers |
ISBN | 1000209946 |
Transforming Management Using Artificial Intelligence Techniques redefines management practices using artificial intelligence (AI) by providing a new approach. It offers a detailed, well-illustrated treatment of each topic with examples and case studies, and brings the exciting field to life by presenting a substantial and robust introduction to AI in a clear and concise manner. It provides a deeper understanding of how the relevant aspects of AI impact each other’s efficacy for better output. It’s a reliable and accessible one-step resource that introduces AI; presents a full examination of applications; provides an understanding of the foundations; examines education powered by AI, entertainment, home and service robots, healthcare re-imagined, predictive policing, space exploration; and so much more, all within the realm of AI. This book will feature: Uncovering new and innovative features of AI and how it can help in raising economic efficiency at both micro- and macro levels Both the literature and practical aspects of AI and its uses This book summarizing key concepts at the end of each chapter to assist reader comprehension Case studies of tried and tested approaches to resolutions of typical problems Ideal for both teaching and general-knowledge purposes. This book will also simply provide the topic of AI for the readers, aspiring researchers and practitioners involved in management and computer science, so they can obtain a high-level of understanding of AI and managerial applications.