With the rapid development of e-commerce and the globalization of business, the overseas store industry is facing increasing competition and challenges. In order to maintain a competitive edge and enhance customer satisfaction, personalized recommendation systems have become an essential tool for customer relationship management (CRM) in the overseas store industry. Personalized recommendation systems utilize advanced algorithms and machine learning techniques to analyze customer data and behavior, and provide tailored product recommendations to individual customers. By leveraging customer data such as purchase history, browsing behavior, and demographic information, personalized recommendation systems can effectively identify customer preferences and offer relevant and personalized product recommendations. The application of personalized recommendation systems in the overseas store industry CRM has the potential to significantly improve customer engagement and loyalty. By providing personalized product recommendations, overseas stores can enhance the shopping experience for their customers, increase the likelihood of repeat purchases, and ultimately drive sales and revenue. Additionally, personalized recommendation systems can also help overseas stores to better understand their customers and their preferences, allowing them to tailor their marketing strategies and product offerings to better meet customer needs. Furthermore, personalized recommendation systems can also help overseas stores to optimize their inventory management and product assortment. By analyzing customer data and purchasing patterns, personalized recommendation systems can provide valuable insights into which products are in high demand and which products are underperforming. This information can be used to optimize inventory levels, identify popular products for promotion, and make informed decisions about product assortment and merchandising. In terms of prospects, the application of personalized recommendation systems in the overseas store industry CRM is expected to continue to grow and evolve. As technology continues to advance and customer expectations continue to rise, personalized recommendation systems will become increasingly important for overseas stores to stay competitive and relevant in the global marketplace. Additionally, as the volume of customer data continues to increase, personalized recommendation systems will become even more powerful and effective in providing personalized and relevant product recommendations to customers. In conclusion, the application of personalized recommendation systems in the overseas store industry CRM has the potential to significantly enhance customer satisfaction, drive sales and revenue, and optimize inventory management. As technology continues to advance and customer expectations continue to evolve, personalized recommendation systems will play an increasingly important role in the overseas store industry CRM. By leveraging advanced algorithms and machine learning techniques, overseas stores can effectively utilize personalized recommendation systems to better understand their customers, provide personalized product recommendations, and ultimately improve customer engagement and loyalty.