This document discusses how data mining can be used in the retail industry. It begins by introducing how retail industries collect large amounts of customer data. It then describes some of the major applications of retail data mining, including identifying customer behaviors, discovering shopping patterns and trends, and improving customer service. The document also outlines some common problems retail industries face, such as employee turnover, auditing issues, and economic challenges. It provides examples of how data mining can help with risk management, fraud detection, and acquiring/retaining customers. In conclusion, the document states data mining allows retailers to better understand customer needs based on purchase histories to target promotions and incentives.