We have already got used to the fact that news about the achievements in the field of machine learning implementation comes down to self-driving cars, talking robots, and psychedelic pictures created by neural networks. However, what if we look at the other side and see how machine learning (ML) affects more familiar industries, such as retail. The progress there is also moving relentlessly, you know. With machine learning, retailers can better analyze and predict buying behavior. After all, today's customers need maximum shopping convenience and the ability to shop through different channels. Consumer preferences are constantly changing, but AI and machine learning in retail help to anticipate and respond to these changes in a timely manner. As soon as it becomes a must-have, we offer you to get acquainted first with the impact that this technology has on the industry, and then with 5 interesting examples of machine learning implementation in retail

Author's Bio: 

Andrii is a content manager at MassMedia Group software development company. He is an expert at business running processes and methodologies, software solutions and is in charge of most crazy creative ideas concerning the content and targeted marketing.