Abstract:

Algorithms can offer loans and investment products, determine the dynamics of the market and demonstrate its prospects. Algorithms structure the prices and determine their dynamics. The article conceptualizes the change in the approach to pricing and forecasting in the direction of including in the price algorithms methodology and tools of machine learning. A model of cyclic development of predictive pricing is proposed. The transition to machine learning in the procedure for forecasting prices is justified. The role of digitization and big data in changing of the forecast price modeling is revealed. The task of the article as a whole is to reveal some possibilities and problems, as well as to identify the stages and prospects of predictive price modeling, taking into account the introduction of Machine Learning (ML) and Artificial Intelligence (AI) into this process.