A generative approach to product bundling in the e-Commerce domain

The product bundling problem is addressed by a Genetic Algorithm. We propose a generative approach in order to find the bundle of products that best satisfies user preferences and requirements and, at the same time, to guarantee the satisfaction of merchant needs such as the minimization of the dead stocks. The proposed approach succeeds in finding the optimal trade-off between different and conflicting constraints. Experimentation investigates algorithm convergence under several conditions, such as a different number of products in the bundle, increasing number of constraints, and different user requirements.