Data mining technology has been widely used in various industries, including the retail sector. In recent years, many overseas stores have adopted data mining technology to improve their service and enhance customer experience. This article will provide a deep analysis of the application and effect of data mining technology in overseas store service. Firstly, data mining technology is used to analyze customer behavior and preferences. By collecting and analyzing customer data, stores can gain insights into their purchasing habits, product preferences, and shopping patterns. This information can be used to personalize the shopping experience for customers, such as offering personalized recommendations, targeted promotions, and customized product offerings. By understanding customer behavior and preferences, stores can better meet the needs of their customers and improve customer satisfaction. Secondly, data mining technology is used to optimize inventory management. By analyzing sales data and inventory levels, stores can identify trends and patterns in product demand. This information can be used to optimize inventory levels, reduce stockouts, and minimize overstocking. By effectively managing inventory, stores can improve their operational efficiency, reduce costs, and increase profitability. Furthermore, data mining technology is used to enhance marketing and sales strategies. By analyzing customer data, stores can identify potential customer segments, target specific customer groups, and develop targeted marketing campaigns. This can help stores to attract new customers, retain existing customers, and increase sales. Additionally, data mining technology can be used to analyze the effectiveness of marketing campaigns, identify successful strategies, and optimize marketing efforts. Moreover, data mining technology is used to improve customer service. By analyzing customer feedback and interactions, stores can identify areas for improvement and address customer concerns. This can help stores to enhance the overall customer experience, build customer loyalty, and increase customer satisfaction. In conclusion, the application of data mining technology in overseas store service has had a significant impact on the retail industry. By analyzing customer data, optimizing inventory management, enhancing marketing and sales strategies, and improving customer service, stores have been able to improve their service and enhance customer experience. As data mining technology continues to advance, it is expected to play an even greater role in the retail sector, helping stores to better understand their customers and improve their overall performance.