This best-selling textbook meets the needs of students who will be directly or indirectly involved in the activities of merchandising and buying at the retail level. Mathematics for Retail Buying explains the essential concepts, practices, procedures, calculations, and interpretations of figures that relate to producing profitable retail buying and selling operations. Now in its seventh edition, the text has been reorganized and expanded to provide real world examples that reflect current industry practices and trends. A companion CD-ROM, now containing all practice problems from the text, allows hands-on practice computing retail buying functions and setting up formulas in spreadsheet format. 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 9781501395314. STUDIO Instant Access can also be purchased or rented separately on BloomsburyFashionCentral.com.

Revised edition of Mathematics for retail buying, 2014.

For courses in mathematics for retail merchandising. Written by experienced retailers, Merchandising Mathematics for Retailing, 5/e introduces students to the essential principles and techniques of merchandising mathematics, and explains how to apply them in solving everyday retail merchandising problems. Instructor- and student-friendly, it features clear and concise explanations of key concepts, followed by problems, case studies, spreadsheets, and summary problems using realistic industry figures. Most chapters lend themselves to spreadsheet use, and skeletal spreadsheets are provided to instructors within the Instructor's Manual. This edition is extensively updated to reflect current trends, and to discuss careers from the viewpoint of working professionals. It adds 20+ new case studies that encourage students to use analytic skills, and link content to realistic retail challenges. This edition also contains a focused discussion of profitability measures, and an extended discussion of assortment planning.

This comprehensive work provides students with the skills and savvy needed to become successful buyers in any area of retail. Its simple and straightforward approach presents step-by-step instructions for typical buying tasks, such as identifying and understanding potential customers, creating a six-month merchandising plan, and developing sales forecasts. This fifth edition contains up-to-date coverage of important retailing trends and technological advances, including social responsibility, sustainability, fast fashion, and the use of new media and social networking.

This text gives students a step-by-step approach to understanding the mechanics of a six-month merchandising plan. Upon completion of the plan students will have gained insight into how the plan is forecast into the future as well as how it is implemented at the actual purchasing level.

This book will give you all of the information you need to start using retail math with confidence. You will understand how to make the calculations and what to do with the answers you get. There is a lot more content like Open-to-Buy, Sell-Through and Web Analytics as well as Big Data considerations are included with this 5th Edition. Table of Contents: 1. Introduction .....................................................................3 2. Glossary of Terms Used in Retail Math Made Simple ..5 3. Key Performance Indicators .........................................12 4. Commonly Used Formulas ............................................24 5. Open to Buy (Definitions, Formulas) .............................45 6. Sell Thru ..........................................................................48 7. Typical Profit/Loss Statement (Operating Statement) .50 8. Test Your Knowledge (Retail Math Quiz) and Answers 54 9. Retail Math Presentation & Presentation Notes ...........63 10. Website Metrics & Measurements ............................174 11. Utilization of Big Data and Analytics in Retail............187