Data-driven Retailing : A Non-technical Practitioners' Guide

by Louis-Philippe Kerkhove

Part I. Pricing -- Chapter 1. The Retailer’s Pricing Challenge -- Chapter 2. Understanding Demand and Elasticity -- Chapter 3. Improving the List Price -- Chapter 4. Optimizing Markdowns and Promotions -- Part II. Inventory Management -- Chapter 5. Product (Re-)distribution and Replenishment -- Chapter 6. Managing Product Returns -- Part III. Marketing -- Chapter 7. The Case for Algorithmic Marketing -- Chapter 8. Better Customer Segmentation -- Chapter 9. Anticipate What Customers Will Do -- Chapter 10. Anticipate When Customers Will Do Something -- Part IV. Conclusion -- Chapter 11. Where Retail Is Headed Next.

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Year of publication:	2022
Authors:	Kerkhove, Louis-Philippe
Publisher:	2022.: Cham : Springer International Publishing 2022.: Cham : Imprint: Springer
Subject:	Retail \| Data analytics \| Machine learning \| Customer relationship management \| Data warehousing \| Pricing \| Marketing automation \| Algorithmic marketing \| Markdown management \| Merchandising \| Dynamic pricing \| Customer lifetime value \| Customer centricity \| Customer loyalty \| Product distribution \| Price strategy \| Product lifecycle \| Inventory management \| Algorythmic marketing \| Demand forecasting model \| Beziehungsmarketing \| Relationship marketing \| Softwareentwicklung \| Software development \| Preismanagement \| Pricing strategy \| Einzelhandel \| Retail trade \| Kundenwert \| Customer value \| Künstliche Intelligenz \| Artificial intelligence \| IT-gestütztes Marketing \| Computer-assisted marketing \| Verkaufsförderung \| Sales promotion \| Data Warehouse \| Data warehouse \| Lagermanagement \| Warehouse management

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Kerkhove, Louis-Philippe. Data-driven retailing. - Cham : Springer, 2022. - xv, 257 Seiten

Persistent link: https://www.econbiz.de/10013392540