StrategyDriven Podcast Special Edition 50 – An Interview with Marshall Fisher, co-author of The New Science of Retailing

StrategyDriven Podcasts focus on the tools and techniques executives and managers can use to improve their organization’s alignment and accountability to ultimately achieve superior results. These podcasts elaborate on the best practice and warning flag articles on the StrategyDriven website.

Special Edition 50 – An Interview with Marshall Fisher, co-author of The New Science of Retailing examines the use of analytics to improve an organization’s supply chain performance in a way that ultimately enhances the bottom line. During our discussion, Marshall Fisher, co-author of The New Science of Retailing: How Analytics are Transforming the Supply Chain and Improving Performance, shares with us his insights and illustrative examples regarding:

• actions business leaders can take to improve their forecasts
• what a ‘Flexible Supply Chain’ is and the benefits it provides
• capabilities an organization needs to possess and steps leaders must take to develop a ‘Flexible Supply Chain’
• methods to determine the amount of supply chain flexibility needed
• how leaders can align their supply chain operations with the organization’s goals
• key factors executives should consider when making decisions regarding which technologies to pursue in order to enhance their supply chain operations

Additional Information

Marshall’s book, The New Science of Retailing, that he co-authored with Ananth Raman, the UPS Foundation Professor of Business Administration at the Harvard Business School, can be purchased by clicking here.

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About the Author

Marshall Fisher, co-author of The New Science of Retailing, is the UPS Professor of Operations and Information Management at the University of Pennsylvania’s Wharton School of Business and co-director of the Fishman-Davidson Center for Service and Operations Management. To read Marshall’s complete biography, click here.

Podcast: Play in new window | Download (Duration: 26:11 — 36.0MB)

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