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📒Fashion Forecasting ✍ Akhil J K
✏Fashion Forecasting Book Summary : Now, Fashion is at its peak. Fashion always changes; the forecasting methods are varying and developing fast through the ever widening network of post-modern media. But, the basics remain the same. This book is aimed at giving the basic ideas and methods in Fashion Forecasting to the new comers and aspirants.
📒Fashion Forecasting ✍ Kathryn McKelvey
✏Fashion Forecasting Book Summary : Everyone in the fashion business needs to develop an essential survival skill: how to interpret the intelligence provided by the fashion forecasting industry, to anticipate and respond to emerging trends. Lavishly illustrated in full colour throughout, with clear and relevant explanations of the processes involved, Fashion Forecasting is for fashion students and young professionals who already have acquired some fashion knowledge and skills. The authors interviewed the key players within this exciting industry and provide here fascinating insights into the dynamic contemporary fashion forecasting world and the varied creative roles within it - from intelligence gatherers to project consultants. The book covers how a trend is sourced, anticipated and developed, and also explores the interaction with marketing and brand development.
📒Intelligent Fashion Forecasting Systems Models And Applications ✍ Tsan-Ming Choi
✏Intelligent Fashion Forecasting Systems Models and Applications Book Summary : Forecasting is a crucial function for companies in the fashion industry, but for many real-life forecasting applications in the, the data patterns are notorious for being highly volatile and it is very difficult, if not impossible, to analytically learn about the underlying patterns. As a result, many traditional methods (such as pure statistical models) will fail to make a sound prediction. Over the past decade, advances in artificial intelligence and computing technologies have provided an alternative way of generating precise and accurate forecasting results for fashion businesses. Despite being an important and timely topic, there is currently an absence of a comprehensive reference source that provides up-to-date theoretical and applied research findings on the subject of intelligent fashion forecasting systems. This three-part handbook fulfills this need and covers materials ranging from introductory studies and technical reviews, theoretical modeling research, to intelligent fashion forecasting applications and analysis. This book is suitable for academic researchers, graduate students, senior undergraduate students and practitioners who are interested in the latest research on fashion forecasting.
📒Fashion Forecasting ✍ Evelyn L. Brannon
✏Fashion Forecasting Book Summary : With real life industry examples and case studies, this text provides students with the knowledge and practices used by professionals to forecast fashion trends.
📒Fashion Forecasting ✍ Rita Perna
✏Fashion forecasting Book Summary : Looks at the forces that shape the fashion industry, describes different kinds of clothing stores, and discusses ads, window displays, and promotion
📒Fashion Forward ✍ Chelsea Rousso
✏Fashion Forward Book Summary : Fashion Forward demystifies the exciting career of a fashion forecaster and fosters skills that will benefit any design professional. The book begins with an overview of fashion forecasting theories and concepts and then leads readers through a step-by-step guide to creating and presenting a forecast. The authors reveal the inner workings of global fashion forecasting through real-world examples and interviews with both influential forecasters and the designers who rely upon them. Fashion Forward enables readers to start spotting tomorrow's trends today and compellingly communicate them-both visually and verbally-to inspire fashion innovators. New to this Edition - Current images and examples. Updated fashion photos to include current and trending images, professional presentations and forecast examples, plus new interviews and quotes. - Covers the latest methods and technology. New coverage of social media, technology and data analytics practices in fashion forecasting. - Enhanced global perspective. New content addressed the global apparel industry, emphasizes international forecasting firms, includes interviews with global forecaster and trend specialists, and more diverse images and examples throughout the book. - Practical career information and hands-on application. Updated and expanded career opportunities sections and enhanced activities provide real-world simulations and insights. - New online STUDIO resources offer students self-study quizzes, flashcards, additional projects and online resources. PLEASE NOTE: Purchasing or renting this ISBN does not include access to the STUDIO resources that accompany this text. To receive free access to the STUDIO content with new copies of this book, please refer to the book + STUDIO access card bundle ISBN 9781501328350.
📒Fashion Buying ✍ David Shaw
✏Fashion Buying Book Summary : Containing fully updated and beautifully illustrated need-to-know info, this revised second edition of the bestselling textbook on fashion buying contains everything today's fashion management student needs to give them a clear head-start in this lucrative but highly competitive industry. Fashion Buying uniquely looks at what fashion buying entails in terms of the activities, processes and people involved - from the perspective of the fashion buyer. The book breaks down the five key areas of buying activity for those wishing to pursue a career in the industry, crucially exploring the role of the fashion buyer, sources of buying inspiration, sourcing and communication, merchandise planning and trends in fashion buying. Featuring completely revised content on retail typology (including need-to-know info on demographics, price points and markets), and selecting and buying garments (line sheets, purchase orders and lookbooks), Fashion Buying now includes valuable new sections on customer profiling, merchandise pricing (mark-ups, markdowns and how pricing is calculated for profit), and trends. Also included in this practical handbook are insightful interviews with both established and emergent fashion creatives. Business case studies put the contents of each chapter into professional context and provide insider perspective; while industry-focused exercises and activities enable readers to practise applying their new skills and so gain a competitive advantage in both their studies and buying careers. Written by industry experts, Fashion Buying is an invaluable go-to resource and leading textbook for fashion design, marketing, buying and merchandising students.
📒Fashion Forecasting ✍ Lorynn Divita
✏Fashion Forecasting Book Summary : "It's a great, strong read. Lots of information if you don't have background knowledge of this topic." Carmen Carter, El Centro College, USA "The text is a thorough view of fashion forecasting that helps students understand this segment of the industry as well as identify the steps and skills required to pursue a career as a fashion forecaster." Amy Harden, Ball State University, USA Learn how to anticipate emerging trends and how to prepare and present your own fashion forecast. Three new chapters on fashion eras, world cultures, and subcultures show you influences on fashion innovation yesterday and today, so that you can spot those of tomorrow. New Influencer profiles focus on trend creators, rather than trend popularizers, to show you how to find key people from many creative fields who shape popular fashion. A new appendix covers how to create a fashion forecast and a streamlined chapter organization is concise without sacrificing depth. Includes 125 color illustrations.
📒Fashion Trends ✍ Eundeok Kim
✏Fashion Trends Book Summary : This text is designed to introduce undergraduate students to the central concepts of fashion trend analysis and forecasting. Exploring the roles of both consumers and industry personnel as product developers, gatekeepers, and promoters of fashion trends, the book demonstrates how and why forecasting is vital to successful product and brand development.Fashion Trends: Analysis and Forecasting covers a wide range of key topics such as the impact of fashion consumption on the environment, economic development, and socio-cultural change as well as the impact of social responsibility and the digital consumer on current fashion trends.Designed to aid teaching and learning, each chapter includes key words, summaries, engaging case studies, discussion questions, and suggested class activities. Using this book as a guide, students will develop an understanding of the process, methods and influence of trend analysis and forecasting for the fashion business and will be encouraged to think through the core issues creatively. An essential text for students of fashion and design.
📒Trend Forecasting With Intermarket Analysis ✍ Louis B. Mendelsohn
✏Trend Forecasting with Intermarket Analysis Book Summary : In this groundbreaking new edition, Mendelsohn gives you the weapon to conquer the limitations of traditional technical trading-intermarket analysis. To compete in today's rapidly changing economy, you need a method that can identify reoccurring patterns within individual financial markets and between related global markets. You need tools that lead, not lag. Step by step, Mendelsohn shows how combining technical, fundamental, and intermarket analysis into one powerful framework can give you an early edge to accurately forecasting trends. Inside, you'll discover: Precise trading strategies that can be used by both day traders and position traders. The limitations of traditional technical analysis methods-and how to overcome them. How neural network computational modeling can create leading, not lagging, moving averages for more accurate forecasting. Innovative, quantitative trend forecasting indicators at the cutting edge of market analysis. PLUS-an introduction to VantagePoint Software, which makes Mendelsohn's "new economy" trading methods work simply-and effectively. This software applies the pattern recognition capabilities of advanced neural networks to analyze intermarket data on literally hundreds of global financial markets each day.