Natural language processing (NLP) technology has revolutionized the way businesses interact with their customers, especially in overseas store markets. By using NLP, businesses can analyze and understand customer feedback, reviews, and social media posts in different languages, allowing them to gain valuable insights into customer preferences and behavior. One of the key applications of NLP in overseas store markets is customer relationship management (CRM) mining of potential customers. By using NLP, businesses can analyze customer data from various sources, such as emails, chat logs, and social media interactions, to identify potential customers who have shown interest in their products or services. This allows businesses to target their marketing efforts more effectively and personalize their communication with potential customers, ultimately leading to higher conversion rates and customer satisfaction. In addition to CRM mining, NLP technology can also be used to analyze customer feedback and reviews in overseas store markets. By using sentiment analysis, businesses can understand the overall sentiment of their customers towards their products or services, as well as identify specific areas for improvement. This allows businesses to make data-driven decisions and take proactive measures to address customer concerns, ultimately leading to improved customer satisfaction and loyalty. Furthermore, NLP technology can also be used to analyze social media posts and conversations in overseas store markets. By monitoring social media conversations, businesses can gain valuable insights into customer preferences, trends, and behaviors, allowing them to tailor their marketing strategies and product offerings to better meet the needs of their target audience. Overall, the use of NLP technology in overseas store markets has the potential to significantly improve customer relationship management and marketing efforts. By leveraging NLP to analyze customer data, businesses can gain valuable insights into customer preferences and behavior, allowing them to target their marketing efforts more effectively and personalize their communication with potential customers. Additionally, NLP can also be used to analyze customer feedback and reviews, as well as monitor social media conversations, allowing businesses to make data-driven decisions and take proactive measures to improve customer satisfaction and loyalty. As businesses continue to expand into overseas store markets, the use of NLP technology will be crucial in gaining a competitive edge and building strong relationships with customers.