Agent-based modeling and simulation of store performance for personalized pricing

Winter Simulation Conference Proceedings

Volumn 2, Issue , 2003, Pages 1759-1764

  Baydar, Cem ^a  

^a ACCENTURE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CONSUMER PRODUCTS; CUSTOMER SATISFACTION; DATA REDUCTION; MANAGERS; MARKETING; OPTIMIZATION; SALES; STRATEGIC PLANNING; AUTONOMOUS AGENTS; COMPUTATIONAL METHODS; COSTS;

BRAND LOYALTY; PERSONALIZED PRICING;

RETAIL STORES; CUSTOMER SATISFACTION;

AGENT-BASED MODELLING AND SIMULATIONS; CUSTOMER PRODUCTS; GROCERY STORES; PERSONALIZED PRICING; PRODUCT CONSUMPTION; SHOPPING BEHAVIOUR; SIMULATION BASED APPROACHES; STORE PERFORMANCE; TRADITIONAL PRODUCTS; TRANSACTION DATA;

EID: 1642477812     PISSN: 02750708     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. A.C. Nielsen's 4th Annual Frequent Shopper Survey. 2001. http://www.acnielsen.com.
2. Baydar C. 2002a. "One-to-One Modeling and Simulation: A New Approach in Customer Relationship Management in Grocery Retail", SPIE Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, Orlando.
3. Baydar C. 2002b. "A Hybrid Parallel Simulated Annealing Algorithm to Optimize Store Performance", 2002 Genetic and Evolutionary Computation Conference, Workshop on Evolutionary Computing for Optimization in Industry, New York.
4. Ferber J. 1999. "Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence", Addison Wesley.
5. Peppers D., Rogers M. 1997. "The One to One Future: Building Relationships One Customer at a Time", Double Day Publications.
6. Tesco Website, http://www.tesco.com.
7. Petrushin V. 2000. "eShopper Modeling and Simulation", Proceedings of SPIE 2000 Conference on Data Mining, pp. 75-83.