In today's globalized world, many businesses have expanded their operations overseas. With the rise of e-commerce, it has become increasingly important for overseas stores to provide personalized customer relationship management (CRM) services in order to stay competitive. One key aspect of personalized CRM services is the product recommendation strategy, which can be greatly enhanced through the use of data mining techniques. Data mining is the process of analyzing large sets of data to discover patterns and trends that can be used to make informed business decisions. In the context of personalized CRM services for overseas stores, data mining can be used to analyze customer behavior, preferences, and purchase history in order to make accurate product recommendations. One way in which data mining can be used to improve product recommendations is through the analysis of customer purchase history. By examining the products that a customer has previously purchased, data mining algorithms can identify patterns and correlations that can be used to predict future purchasing behavior. For example, if a customer has a history of purchasing athletic wear, data mining algorithms can recommend similar products such as running shoes or workout gear. In addition to purchase history, data mining can also be used to analyze customer preferences and behavior. By tracking customer interactions with a store's website or mobile app, data mining algorithms can identify which products a customer has shown interest in, as well as their browsing and search history. This information can then be used to make personalized product recommendations that are tailored to the individual customer's preferences. Furthermore, data mining can also be used to analyze customer feedback and reviews in order to identify trends and patterns in customer satisfaction. By understanding which products are receiving positive feedback and which are not, overseas stores can make more informed product recommendations that are likely to resonate with their customers. Overall, the use of data mining techniques to inform product recommendation strategies for personalized CRM services can greatly enhance the customer experience for overseas stores. By leveraging the power of data mining to analyze customer behavior, preferences, and feedback, overseas stores can make more accurate and personalized product recommendations that are tailored to the individual customer's needs and preferences. This, in turn, can lead to increased customer satisfaction, loyalty, and ultimately, improved sales and profitability for overseas stores.