We consider a two echelon supply chain where a single retailer holds an inventory of finished goods to satisfy an i.i.d. customer demand, and a single manufacturer produces the retailer’s replenishment orders on a make-to-order basis. The objective of this paper is to analyse the impact of the retailer’s replenishment policy (order variance amplification/dampening) on supply chain performance. ...

Price dispersion in the Internet is a well studied phenomenon. It enables companies to adjust prices to a level appropriate to their strategy. This paper deals with question how Internet retailers should do so. The discussed method optimizes shortand long-term profitability by determining the exact demand curve. The method involves the application of empirical price tests. For this purpose visi...

It has become common practice for retailers to personalize direct marketing efforts based on customer transaction histories as a tactic to increase sales. Targeted email offers featuring products in the same category as a customer’s previous purchases generate higher purchase rates. However, a targeted offer emphasizing familiar products could result in curtailed search for unadvertised product...

In the face of unprecedented challenges in environmental sustainability and grid resilience, there is an increasingly held consensus regarding the adoption of distributed and renewable energy resources such as microgrids (MGs), and the utilization of flexible electric loads by demand response (DR) to potentially drive a necessary paradigm shift in energy production and consumption patterns. How...

The Credit Clearing House (CCH) is a division of Dun & Bradstreet (D&B) Business Information Group's Business Credit Services. CCH functions as the arm of Business Credit Services' Product Marketing Group, dedicated to serving the risk management needs of the apparel industry by assigning credit ratings and dollar-specific credit limit recommendations. CCH has several thousand customers that us...

We develop an integrated approach for analyzing logistics and marketing decisions within the context of designing an optimal returns system for a retailer servicing two distinct market segments. At the operational level, we show that the optimal refund price is not unique. Moreover, it is such that if both market segments return a purchased product, then neither segment will receive a full mone...

T paper empirically investigates the determinants of retailers’ pricing decisions. It finds that competitor factors explain the most variance in retailer pricing strategy. Only in the cases of price-promotion coordination and relative brand price do category and chain factors explain much variance in retailer pricing. These findings are derived from a simultaneous equation model of how underlyi...

data mining is a powerful tool for firms to extract knowledge from their customers’ transaction data. one of the useful applications of data mining is segmentation. segmentation is an effective tool for managers to make right marketing strategies for right customer segments. in this study we have segmented retailers of a hygienic manufacture. nowadays all manufactures do understand that for sta...

We propose a model for the rationalization of retail assortment andstocking decisions for retail category management. We assume that consumers are heterogeneous in their intrinsic preferences for items and are willing tosubstitute less preferred items to a limited extent if their preferred items arenot available. We propose that the appropriate objective function for a farsighted re...