How does market-basket analysis identify products that customers often buy together?

Market-basket analysis identifies products that customers frequently purchase together by utilizing pattern mining techniques to uncover associations within transaction data.

While identifying simple associations has long been possible, modern data mining enables the discovery of less apparent and often unexpected relationships within massive datasets. By analyzing these patterns, businesses can determine which items typically occur together in a single purchase, such as a supermarket stocking tartar sauce alongside fish during a sale. These insights are highly valuable, as they reveal hidden consumer behaviors that can inform new marketing strategies or research initiatives.1