Discover the secrets of some of the world’s leading shops and online businesses. This is the book which reveals what the most successful businesses in the world already know. Find your ‘Big Idea’ and learn how that sets you apart from the competition Learn critical lessons from the pioneers of retail Understand what customers really want from your format Find out how to build strong store teams Become skilled in delighting your customers Covering everything from creating the ultimate retail experience to understanding the customer and the importance of motivated shop floor workers, this is the book that will equip managers, team-workers, retail entrepreneurs and indeed anybody who sells direct to customers, with practical winning ideas and strategies.

From personalized recommendations and dynamic pricing to automated inventory management and fraud detection, AI offers a treasure trove of opportunities to boost efficiency, enhance customer experience, and increase profitability. We'll explore how AI can be harnessed to: Understand your customers: Go beyond demographics to uncover hidden preferences and predict buying behavior. Optimize your operations: Streamline logistics, minimize stockouts, and make data-driven decisions for smarter inventory management. Personalize the shopping journey: Create frictionless experiences, offer relevant product suggestions, and build lasting customer relationships. Stay ahead of the curve: Identify emerging trends, adapt to market fluctuations, and innovate with confidence.

The objectives of this book are: To share what are the excitements and challenges facing in the retailing industry. To create different strategies by using the right retail format strategy to meet the specific target market segment. How retailers able to create a competitive advantage edge over competitors in order to achieve sustainable growth in revenue and profit in the longer term for the organization. Successful SMART Retailing = How to define your SPECIFIC target market segment to MEET your customers needs and wants in order to create a competitive ADVANTAGE edge to achieve sustainable financial performance RESULTS by utilizing the current TECHNOLOGICAL advancement and implementing of ENTREPRENEURSHIP mindset.

By providing a comprehensive theoretical framework, this book aims to map the most relevant technologies that have the potential to reshape the retail industry. The authors demonstrate how technology is pushing innovation, and examine how smart technologies can be fruitfully applied both in-store and through digital channels. The aim of the book is to synthesise theory and practice, and provide a richer understanding of new digital opportunities offered by the ‘smart’ experience. An accessible resource for researchers who want to understand this phenomenon as part of their expertise in digital marketing and e-commerce, Smart Retailing also provides insights for practitioners who are experiencing the dramatic effects of new technologies on their retail strategies.

The reproducible lessons in each of the six books in this series presents topics students are likely to encounter in everyday life. Each book contains problems that involve estimation, equations, mental math, calculators, and critical thinking. Additional concept-specific skills in each book include graphing, averages, statistics, ratios, and measurement. These 112-page reproducible books include teacher notes and tips, answer keys, reference guides, lessons, unit reviews, and more. Units include: Retail & Wholesale, Reading Ads, Rental Sales, Buying on Layaway, Getting the Best Deal, Online Shopping, Shopping for a Neighbor, Second Time Around.

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.