Journal
| Title | Bundle AI: An Application of Multiple Constraint Knapsack Problem (MCKP) Through Genetic Algorithm (GA) Posted by Orven Llantos |
| Authors | Carloman, Angel Nicole; Bermudo, Urel Van William; Estilloso, Eiries Marc; Llantos, Orven E |
| Publication date | 2024/01/15 |
| Journal | Procedia Computer Science |
| Volume | 231 |
| Pages | 24-31 |
| Publisher | Elsevier |
| Abstract | Bundle AI is a marketing tool project motivated to provide solutions for manual product bundling, a popular marketing strategy that boosts sales of low-selling products and encourages mass purchases with promising customer satisfaction. It is a cost-effective solution as it does not depend on large volumes of transactional data, which is suitable for small businesses. The bundling of products was defined as a Multiple Constraints Knapsack Problem where the best solution is determined using Genetic Algorithm. Bundle AI delivers the fit product bundle with the incorporation of the value and reward system. |
| Index terms / Keywords | Artificial Intelligence, Marketing, Product Bundling, Multiple Constraint Knapsack Problem, Genetic Algorithm |
| DOI | https://doi.org/10.1016/j.procs.2023.12.153 |
| URL | https://www.sciencedirect.com/science/article/pii/S1877050923021658 |