Artificial Intelligence in Market Segment Portfolio for Profit Maximization

This paper proposes an approach to select a market segment portfolio maximize overall profit. The study first uses artificial intelligence algorithms the segments with high profitability. mathematical programming model is then used identify most profitable portfolio. single-objective find optimal profit for baseline condition, and sensitivity analysis performed understand impact of variable changes on results. Then, multi-objective helps best when evaluated items reach extreme values. A conducted reveal above results are compared those scoring method. It found that algorithm combined models can indeed segmentation better profits than conventional methods.