머신러닝 회귀 모델 알고리즘을 적용한 기업의 판매량 예측 연구 및 분석

Abstract

Businesses are a profit-seeking group that puts a lot of effort into maximizing profits. The basic way to maximize profits is to minimize production costs and maximize margins. However, malicious inventory that occurs in the process of leaving margins eats up the margins that are difficult to leave. Companies are making efforts to minimize inventory by selling at a lower price or by deriving expected sales to deal with inventory. In order to predict sales volume, companies are using previously accumulated data. Therefore, in this paper, we apply machine learning algorithms to predict future sales and inventory based on previous sales performance, and compare the performance of each algorithm.