Machine Learning in Retail

Machine learning in retail involves using data and algorithms to help stores understand customer behavior, predict trends, and optimize operations. By analyzing purchase history, preferences, and browsing patterns, machine learning systems can recommend products, personalize offers, manage inventory more effectively, and forecast demand. This technology allows retailers to make smarter decisions, improve customer experience, and increase efficiency without human programming for each specific task. Essentially, it enables stores to learn from data and continually improve their services, making shopping more tailored and convenient for customers.