Data-driven Retailing
portes grátis
Data-driven Retailing
A Non-technical Practitioners' Guide
Kerkhove, Louis-Philippe
Springer International Publishing AG
10/2022
257
Dura
Inglês
9783031129612
15 a 20 dias
Descrição não disponível.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
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
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
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
