摘要:Product bundling is a marketing strategy that concerns offering several products for sale as one combined product. Current bundling technology mainly focuses on the creation of static bundles, which involves pre-computing product bundles and associated discounts. However, due to the inherent dynamism and constant change of current and potential customer information, as is particularly the case in enterprise networks, static product bundles often prove to be inefficient. In this paper, we propose a bio-inspired approach for dynamic generation of personalized product bundles. The approach is based on the Ant Colony Optimization algorithm aiming to optimize the match between the available products and individual customer preferences. The applicability of the proposed approach is discussed through an exemplar application scenario.