Data Mining for Inventory Item Selection with Cross-Selling Considerations

MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations

In the literature of data mining, many different algorithms for association rule mining have been proposed. However, there is relatively little study on how association rules can aid in more specific targets. In this paper, one of the applications for association rules maximal-profit item selection with cross -selling effect (MPIS) problem is investigated. The problem is about selecting a subse...

ISM: Item Sele tion for Marketing with Cross-Selling Considerations

An Inventory Decision Model of BOPS Retailing Considering Cross-selling

Omnichannel retailing has been getting more and more attention as people’s buying habits become more diverse. BOPS (Buy-on-line, Pick-up-in store) is an important pattern of Omnichannel retailing which has significant impacts on a cross-selling effect and inventory decisions. This paper explores this implementation with cross-selling from a perspective of inventory management by developing and ...

Ensemble Learning for Cross-Selling Using Multitype Multiway Data Ensemble Learning for Cross-Selling Using Multitype Multiway Data

Cross-selling is an integral component of customer relationship management. Using relevant information to improve customer response rate is a challenging task in cross-selling. Incorporating multitype multiway customer behavioral, including related product, similar customer and historical promotion, data into cross-selling models is helpful in improving the classification performance. Customer ...

Optimal customer selection for cross-selling of financial services products

A new methodology, for optimal customer selection in cross-selling of financial services products, such as mortgage loans and non life insurance contracts, is presented. The optimal cross-sales selection of prospects is such that the expected profit is maximized, while at the same time the risk of suffering future losses is minimized. Expected profit maximization and mean-variance optimization ...