machine learning for retail

Machine learning in retail involves using computer algorithms to analyze large amounts of data, such as customer behavior, sales patterns, and inventory levels. These algorithms identify trends and make predictions, helping retailers optimize inventory, personalize marketing, and improve customer experience. For example, machine learning can forecast which products will sell best, recommend items to customers based on their preferences, or detect potential stock shortages before they happen. Overall, it enables retail businesses to make smarter decisions, operate more efficiently, and better serve their customers.