Executing customer analysis in a systemic way is one of the possible solutions for each enterprise to understand behavior consumer patterns an efficient and in-depth manner. Further investigation helps firm develop decisions turn, optimize enterprise’s business maximizes satisfaction correspondingly. To conduct effective assessment about customers, Naive Bayes(also called Simple Bayes), machine...

Most marketers have difficulty in identifying the right customers to engage in successful campaigns. So far, customer segmentation is a popular method that is used for selecting appropriate customers for a launch campaign. Unfortunately, the link between customer segmentation and marketing campaign is missing. Another problem is that database marketers generally use different models to conduct ...

Claims have often been made that the quality of online customer experience web site ease of use, selection of goods offered, quality of customer service, the effectiveness of virtual community building, and site personalization are crucial to the success of e-commerce firms. If differences in the quality of online customer experiences provide a long-term competitive advantage, we would expect a...

This chapter describes a practical area of application of decision reducts to a real-life business problem. It presents a feature selection (attribute reduction) methodology based on the decision reducts theory, which is supported by a designed and developed visualization system. The chapter overviews an application area Customer Loyalty Improvement Recommendation, which has become a very popul...

This paper studies the vehicle scheduling problem in cities for the pickup and delivery service. Considering customer point as vehicle collaboration point, we propose a two-stage algorithm based on customer point collaboration through the theory of optimization. In addition to considering the problem whether the isolated customer point is collaborative, the algorithm also takes into account the...

Electronic data interchange (EDI)-enabled trading partnerships are even more important now that EDI and electronic commerce-based technologies are underlying long-term strategic business partnerships. This study investigates the trading partner selection criteria used by ®rms in a customer-supplier dyad and their relative importance according to EDI implementation level is also established. Usi...

The capacitated vehicle routing problem with time windows (cVRPTW) is concerned with finding optimal tours for vehicles that deliver goods to customers within a specific time slot (or time window), respecting the maximal capacity of each vehicle. The on-line variant of the cVRPTW arises for instance in online shopping services of supermarket chains: customers choose a delivery time slot for the...