In recent years, the use of artificial intelligence (AI) in customer relationship management (CRM) has become increasingly popular. One of the latest trends in this field is the use of AI-driven customer portrait construction to mine potential customers in overseas store markets. This new approach is revolutionizing the way businesses identify and target potential customers, and it is proving to be highly effective in increasing sales and customer satisfaction. AI-driven customer portrait construction involves the use of advanced algorithms and machine learning techniques to analyze large amounts of customer data and create detailed portraits of potential customers. These portraits include information such as demographics, purchasing behavior, preferences, and interests, which can be used to tailor marketing strategies and personalize the customer experience. One of the key advantages of using AI-driven customer portrait construction in overseas store markets is the ability to identify and target potential customers with a high degree of accuracy. By analyzing data from various sources, such as social media, online shopping behavior, and customer feedback, businesses can gain a deep understanding of their target audience and create highly targeted marketing campaigns. This not only increases the chances of attracting new customers but also helps businesses to retain existing customers by providing them with personalized offers and recommendations. Furthermore, AI-driven customer portrait construction can help businesses to optimize their product offerings and pricing strategies in overseas store markets. By analyzing customer data, businesses can identify trends and patterns in purchasing behavior, which can be used to develop new products or adjust pricing to better meet the needs and preferences of potential customers. This can give businesses a competitive edge in overseas markets and help them to maximize their sales and profitability. Another benefit of using AI-driven customer portrait construction in CRM is the ability to automate and streamline the customer segmentation process. Traditionally, businesses have relied on manual methods to segment their customer base, which can be time-consuming and prone to human error. By using AI, businesses can automate the process of identifying potential customers and segmenting them based on their characteristics and behavior, allowing for more efficient and accurate targeting. In conclusion, AI-driven customer portrait construction is a new trend in CRM that is revolutionizing the way businesses mine potential customers in overseas store markets. By leveraging the power of AI and machine learning, businesses can gain a deep understanding of their target audience, create highly targeted marketing campaigns, optimize their product offerings and pricing strategies, and automate the customer segmentation process. This not only helps businesses to attract new customers but also to retain existing ones, ultimately leading to increased sales and customer satisfaction. As AI continues to advance, we can expect to see even more innovative applications of AI in CRM, further transforming the way businesses engage with their customers.