Retail Analytics
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Retail Analytics
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Author : Emmett Cox
language : en
Publisher: John Wiley & Sons
Release Date : 2011-10-18
Retail Analytics written by Emmett Cox and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-18 with Business & Economics categories.
The inside scoop on boosting sales through spot-on analytics Retailers collect a huge amount of data, but don't know what to do with it. Retail Analytics not only provides a broad understanding of retail, but also shows how to put accumulated data to optimal use. Each chapter covers a different focus of the retail environment, from retail basics and organization structures to common retail database designs. Packed with case studies and examples, this book insightfully reveals how you can begin using your business data as a strategic advantage. Helps retailers and analysts to use analytics to sell more merchandise Provides fact-based analytic strategies that can be replicated with the same success the author achieved on a global level Reveals how retailers can begin using their data as a strategic advantage Includes examples from many retail departments illustrating successful use of data and analytics Analytics is the wave of the future. Put your data to strategic use with the proven guidance found in Retail Analytics.
Style And Statistics
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Author : Brittany Bullard
language : en
Publisher: John Wiley & Sons
Release Date : 2016-11-30
Style And Statistics written by Brittany Bullard and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-30 with Business & Economics categories.
A non-technical guide to leveraging retail analytics for personal and competitive advantage Style & Statistics is a real-world guide to analytics in retail. Written specifically for the non-IT crowd, this book explains analytics in an approachable, understandable way, and provides examples of direct application to retail merchandise management, marketing, and operations. The discussion covers current industry trends and emerging-standard processes, and illustrates how analytics is providing new solutions to perennial retail problems. You'll learn how to leverage the benefits of analytics to boost your personal career, and how to interpret data in a way that's useful to the average end business user or shopper. Key concepts are detailed in easy-to-understand language, and numerous examples highlight the growing importance of understanding analytics in the retail environment. The power of analytics has become apparent across industries, but it's left an especially indelible mark on retail. It's a complex topic, but you don't need to be a data scientist to take advantage of the opportunities it brings. This book shows you what you need to know, and how to put analytics to work with retail-specific applications. Learn how analytics can help you be better at your job Dig deeper into the customer's needs, wants, and dreams Streamline merchandise management, pricing, marketing, and more Find solutions for inefficiencies and inaccuracies As the retail customer evolves, so must the retail industry. The retail landscape not only includes in-store but also website, mobile site, mobile apps, and social media. With more and more competition emerging on all sides, retailers need to use every tool at their disposal to create value and gain a competitive advantage. Analytics offers a number of ways to make your company stand out, whether it's through improved operations, customer experience, or any of the other myriad factors that build a great place to shop. Style & Statistics provides an analytics primer with a practical bent, specifically for the retail industry.
Retail Analytics
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Author : Anna-Lena Sachs
language : en
Publisher: Springer
Release Date : 2014-12-10
Retail Analytics written by Anna-Lena Sachs and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-10 with Business & Economics categories.
This book addresses the challenging task of demand forecasting and inventory management in retailing. It analyzes how information from point-of-sale scanner systems can be used to improve inventory decisions, and develops a data-driven approach that integrates demand forecasting and inventory management for perishable products, while taking unobservable lost sales and substitution into account in out-of-stock situations. Using linear programming, a new inventory function that reflects the causal relationship between demand and external factors such as price and weather is proposed. The book subsequently demonstrates the benefits of this new approach in numerical studies that utilize real data collected at a large European retail chain. Furthermore, the book derives an optimal inventory policy for a multi-product setting in which the decision-maker faces an aggregated service level target, and analyzes whether the decision-maker is subject to behavioral biases based on real data for bakery products.
Demand Prediction In Retail
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Author : Maxime C. Cohen
language : en
Publisher: Springer Nature
Release Date : 2022-01-01
Demand Prediction In Retail written by Maxime C. Cohen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Business & Economics categories.
From data collection to evaluation and visualization of prediction results, this book provides a comprehensive overview of the process of predicting demand for retailers. Each step is illustrated with the relevant code and implementation details to demystify how historical data can be leveraged to predict future demand. The tools and methods presented can be applied to most retail settings, both online and brick-and-mortar, such as fashion, electronics, groceries, and furniture. This book is intended to help students in business analytics and data scientists better master how to leverage data for predicting demand in retail applications. It can also be used as a guide for supply chain practitioners who are interested in predicting demand. It enables readers to understand how to leverage data to predict future demand, how to clean and pre-process the data to make it suitable for predictive analytics, what the common caveats are in terms of implementation and how to assess prediction accuracy.
Supply Chain Management Strategies And Risk Assessment In Retail Environments
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Author : Kumar, Akhilesh
language : en
Publisher: IGI Global
Release Date : 2017-12-15
Supply Chain Management Strategies And Risk Assessment In Retail Environments written by Kumar, Akhilesh and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-15 with Business & Economics categories.
The proper understanding and managing of project risks and uncertainties is crucial to any organization. It is paramount that all phases of project development and execution are monitored to avoid poor project results from meager economics, overspending, and reputation. Supply Chain Management Strategies and Risk Assessment in Retail Environments is a comprehensive reference source for the latest scholarly material on effectively managing risk factors and implementing the latest supply management strategies in retail environments. Featuring coverage on relevant topics such as omni-channel retail, green supply chain, and customer loyalty, this book is geared toward academicians, researchers, and students seeking current research on the challenges and opportunities available in the realm of retail and the flow of materials, information, and finances between companies and consumers.
Retail Analytics
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Author : Emmett Cox
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-13
Retail Analytics written by Emmett Cox and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-13 with Business & Economics categories.
The inside scoop on boosting sales through spot-on analytics Retailers collect a huge amount of data, but don't know what to do with it. Retail Analytics not only provides a broad understanding of retail, but also shows how to put accumulated data to optimal use. Each chapter covers a different focus of the retail environment, from retail basics and organization structures to common retail database designs. Packed with case studies and examples, this book insightfully reveals how you can begin using your business data as a strategic advantage. Helps retailers and analysts to use analytics to sell more merchandise Provides fact-based analytic strategies that can be replicated with the same success the author achieved on a global level Reveals how retailers can begin using their data as a strategic advantage Includes examples from many retail departments illustrating successful use of data and analytics Analytics is the wave of the future. Put your data to strategic use with the proven guidance found in Retail Analytics.
Revolutionizing Retail Analytics Harnessing Ai And Machine Learning For Business Growth
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Author : Shashank Shekhar Katyayan Dr. Jhankar Moolchandani
language : en
Publisher: DeepMisti Publication
Release Date : 2025-01-15
Revolutionizing Retail Analytics Harnessing Ai And Machine Learning For Business Growth written by Shashank Shekhar Katyayan Dr. Jhankar Moolchandani and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-15 with Computers categories.
In the fast-paced and ever-evolving world of retail, staying ahead of the competition requires more than intuition and experience—it demands the power of data-driven insights. As consumers grow more tech-savvy and their expectations rise, retail businesses face the challenge of delivering personalized, efficient, and impactful customer experiences. This book, Revolutionizing Retail Analytics: Harnessing AI and Machine Learning for Business Growth, is a guide to navigating this transformative era using the tools of tomorrow. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into retail analytics has unlocked opportunities previously unimaginable. From dynamic pricing and demand forecasting to personalized marketing and supply chain optimization, these technologies are reshaping how businesses operate. Yet, for many, the journey to adopting AI-driven strategies can seem complex and daunting. This book aims to demystify the world of AI and ML for retail professionals, business leaders, and analytics enthusiasts. Whether you are an experienced data scientist looking to explore retail applications or a retailer seeking to understand how AI can solve real-world challenges, this book bridges the gap between technology and business outcomes. Throughout the chapters, you’ll find: • A foundation in the principles of AI and ML tailored to retail contexts. • Case studies showcasing successful implementations across diverse retail domains. • Practical strategies for integrating AI tools into existing systems. • Insights on ethical considerations and best practices in data handling and AI deployment. Our journey begins by understanding the seismic shifts reshaping the retail landscape and progresses to exploring actionable strategies for leveraging AI and ML effectively. By the end, you’ll not only grasp the transformative potential of these technologies but also be equipped with the knowledge to implement them within your own organization. The retail industry stands at the crossroads of innovation and tradition. The decisions we make today will shape the shopping experiences of tomorrow. With this book as your guide, we invite you to be part of the revolution, unlocking growth, efficiency, and a deeper connection with your customers through the power of AI and ML. Welcome to the future of retail. Let’s transform it together. Authors
The New Science Of Retailing
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Author : Marshall Fisher
language : en
Publisher: Harvard Business Press
Release Date : 2010-06-22
The New Science Of Retailing written by Marshall Fisher and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-22 with Business & Economics categories.
Retailers today are drowning in data but lacking in insight: They have huge volumes of information at their disposal. But they're unsure of how to sort through it and use it to make smart decisions. The result? They're struggling with profit-sapping supply chain problems including stock-outs, overstock, and discounting. It doesn't have to be that way. In The New Science of Retailing, supply chain experts Marshall Fisher and Ananth Raman explain how to use analytics to better manage your inventory for faster turns, fewer discounted offerings, and fatter profit margins. Featuring case studies of retailing exemplars from around the world, this practical new book shows you how to: · Mine your sales data to identify "homerun" products you're missing · Reinvent your forecasting and pricing strategies · Build end-to-end agility into your supply chain · Establish incentives that align your supply chain partners behind shared objectives · Extract maximum value from technologies such as point-of-sale scanners and customer loyalty cards Highly readable and compelling, The New Science of Retailing is your playbook for turning all that data into a wellspring for new profits and unprecedented efficiency.
Advanced Customer Analytics
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Author : Mike Grigsby
language : en
Publisher: Kogan Page Publishers
Release Date : 2016-10-03
Advanced Customer Analytics written by Mike Grigsby and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-03 with Business & Economics categories.
Advanced Customer Analytics provides a clear guide to the specific analytical challenges faced by the retail sector. The book covers the nature and scale of data obtained in transactions, relative proximity to the consumer and the need to monitor customer behaviour across multiple channels. The book advocates a category management approach, taking into account the need to understand the consumer mindset through elasticity modelling and discount strategies, as well as targeted marketing and loyalty design. A practical, no-nonsense approach to complex scenarios is taken throughout, breaking down tasks into easily digestible steps. The use of a fictional retail analyst 'Scott' helps to provide accessible examples of practice. Advanced Customer Analytics does not skirt around the complexities of this subject but offers conceptual support to steer retail marketers towards making the right choices for analysing their data. Online resources include a selection of datasets to support specific chapters.