Proper product design plays in important role in the success within a marketplace. In order for a product to succeed within a competitive consumable commodity market, the product must focus on specific attributes. This paper examines three historical case studies the video cassette, the DVD, and the high definition markets. Through these three examples, trends amongst product features, consumer...

We consider new online variants of supply chain management models, where in addition to production decisions, one also has to actively decide on which customers to serve. Specifically, customers arrive sequentially during a selection phase, and one has to decide whether to accept or reject each customer upon arrival. If a customer is rejected, then a lost-sales cost is incurred. Once the select...

Demand Response (DR) is a widely used technique to minimize the peak to average consumption ratio during high demands. An effective DR scheduling algorithm should minimize the curtailment error the difference between the targeted and achieved curtailment values to minimize the costs to the utility provider and maintain system reliability. Several polynomial time heuristics have been proposed in...

Adverse selection is an important problem for marketers. To reduce the chances of acquiring an unprofitable customer, companies may screen prospects who respond to a marketing offer. Prospects who respond are often not approved. At the same time, prospects who are likely to be approved are unlikely to respond to a given marketing offer. Using data from a firm’s customer relationship management ...

The management of coupon promotions is an important issue for marketing managers since it still is the major promotion medium. However, the distribution of coupons does not go without problems. Although manufacturers and retailers are investing heavily in the attempt to convince as many customers as possible, overall coupon redemption rate is low. This study improves the strategy of retailers a...

This paper presents an electricity medium voltage (MV) customer characterization framework supported by knowledge discovery in database (KDD). The main idea is to identify typical load profiles (TLP) of MV consumers and to develop a rule set for the automatic classification of new consumers. To achieve our goal a methodology is proposed consisting of several steps: data pre-processing; applicat...

Customer value refers to the potential contribution of customers to an enterprise during specific periods. When enterprises understand the value of customers, enterprises that understand customer value can provide customized service to different customers and thus achieve effective customer relationship management. This study focuses on the current automotive maintenance industry in Taiwan and ...

Nowadays customer attrition is increasingly serious in commercial banks, particularly, high-valued customers in retail banking. Hence, it is encouraged to develop a prediction mechanism and identify such customers who might be at risk of attrition. This prediction mechanism can be considered to be a classifier. In particular, the problem of predicting risk of customer attrition can be prototype...