Machine learning models predict consumer behavior by analyzing historical data and identifying patterns or trends. These models utilize algorithms to process information such as past purchase behavior, demographic data, and browsing activity. By recognizing correlations and making sense of complex datasets, machine learning can forecast future actions, such as buying intentions or preferences. Businesses leverage these insights for targeted marketing, inventory management, and personalized recommendations. Ultimately, machine learning enhances decision-making by allowing businesses to anticipate consumer needs and adapt strategies accordingly.