Forecasting Sales Needs Using Machine Learning Algorithms

In the modern market, accurate identification of consumer needs and appropriate distribution of products play an important role in the success of companies. This article analyzes the possibilities of accurately predicting sales needs using intelligent analysis methods. First, existing statistical and classical methods are considered, and then the possibilities of using algorithms based on machine learning are recommended. The proposed approaches prevent product shortages, optimize the warehouse and reserve system. The research results are tested on real data.