| Title |
Bundle AI: An Application of Multiple Constraint Knapsack Problem (MCKP) Through Genetic Algorithm (GA) |
|
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 |
|
| URL |
|
Mindanao State
University - Iligan Institute of Technology