An Integrated Rule-based and Case-based Reasoning System for Customer Service Management
ICEBE '05 Proceedings of the IEEE International Conference on e-Business Engineering
RFID Implementation
ECBI '09 Proceedings of the 2009 International Conference on Electronic Commerce and Business Intelligence
Integration of heterogeneous models to predict consumer behavior
Expert Systems with Applications: An International Journal
Improving rule-based systems through case-based reasoning
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
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A common problem in any large grocery store is to make sure the customers find the right product of their choice quickly. The problem gets worse when large grocery stores hold several thousand products and when customers have time constraints, it becomes way too difficult for customers to find the required product quickly. Often customers end up not purchasing the product of their preference just because it is difficult to find and consequently this may directly impact the customer satisfaction of the store. We present a Radio Frequency Identification (RFID) enabled cell phone, which is a hybrid system that integrates the RFID technology with case-based reasoning (CBR) and rule-based reasoning (RBR) for suggesting the preferred products to customers and achieve customer satisfaction. Our proposed system analyses the customers' purchase strategies to predict the consumer behavior and provide smart customer service.