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.

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.

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 forecasters combine the views emerging about color and fabric from the early yarn and fabric trade shows with their socio-economic and cultural analysis. Major trends in lifestyles, attitude and culture in particular music, sport, cinema and television are used to predict changing consumer demands. Fashion forecasting involves the following activities such as studying market conditions, noting the life style of the people, researching sales statistics, evaluating popular designer collections, surveying fashion publications, observing street fashions etc.

Colour is a powerful selling tool. It is the first thing to catch the consumer's eye in the shop window. Get the colour choice wrong and an entire range can stay on the racks. So, how do colours arrive on the catwalk or the sales floor – and why do different companies all seem to choose similar colours each season? The answer lies in the work of the huge colour forecasting industry. With case studies that show the industry at work, this book breaks down the forecasting process – from how to put together a colour palette to colour theory and the way that colours behave – and helps you to build the combination of research and intuitive skills that a successful designer or forecaster needs.

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.

Discover the secrets of the future of fashion with MODE MAVEN: Fashion Forward: Unlocking the 2023 Trendsetters and Gender-Inclusive Styles by Mr. Big Wealth. This groundbreaking book takes you on a journey into the world of fashion, showcasing the upcoming trends and styles that will define the year 2023. Written by the renowned fashion expert, Mr. Big Wealth, this book is a comprehensive guide to staying ahead of the curve and setting new trends. Explore the pages filled with cutting-edge insights, stunning visuals, and expert analysis that will inspire and empower fashion enthusiasts, designers, and trendsetters alike. Unleash your creativity and embrace gender-inclusive styles with MODE MAVEN. This book celebrates individuality and inclusivity, encouraging readers to break free from traditional fashion norms. With its focus on diversity and innovation, it is a must-have for anyone passionate about fashion and pushing boundaries. Whether you are a fashion enthusiast or an aspiring trendsetter, MODE MAVEN: Fashion Forward is your ticket to unlocking the future of fashion. Get ready to redefine your style and become a true fashion maven with this definitive guide to the 2023 trendsetters and gender-inclusive styles.

The colour forecasting process is a major driving force in the fashion and textile industries but is complex, highly intuitive and little understood. This textbook for students of fashion and design discusses the development of the various driving forces of fashion, when colour forecasting began and how it has developed to its present day state. Colour terminology and some of the more subjective tools used by colour forecasters are explained, and their strengths and weaknesses are compared. Also, a model is given of the colour forecasting process and this is discussed in detail. Finally, readers are shown how forecasting methodologies are used to develop 'colour stories'.

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