How to Utilize AI for Lead Generation to Boost Competitiveness in Foreign Trade B2B Enterprises

14 April 2025

In recent years, with changes in international trade environments and technological advancements, many export-oriented Chinese enterprises have started exploring AI technology to optimize their client development processes. This article introduces practical AI-driven customer acquisition solutions, focusing on leveraging Google Maps' data collection function to identify potential customers. Case studies demonstrate practical applications, offering valuable insights for professionals involved in overseas sales.

Shanghai AI Lab's open-source InternVL3 series boosts B2B competitiveness in foreign trade

Google Maps Data Collection Becomes an Efficient Path to Discovering Buyers

Not only can Google Maps help us quickly pinpoint locations, but it also holds immense business value. Now, numerous AI software programs specifically designed for foreign trade companies can automatically extract information from Google Maps regarding stores or institutions within a specific region relevant to your products. This way, even small teams can effortlessly uncover substantial market resources.

Personalized Content Delivery Boosts Conversion Rates

Through AI analysis of collected customer data, you can send customized product or service information that aligns with the recipient's needs. For instance, sharing articles about the latest smart home features with enterprises interested in smart homes yields better results than traditional bulk emails. Studies show this method significantly enhances final transaction success rates.

Enhancing Service Quality with Chatbots

Many successful cross-border e-commerce sites now employ AI chatbots to provide real-time online support to customers. These tools operate around the clock and can converse fluently with visitors. Additionally, they segment customer needs based on conversation records, providing accurate follow-up advice to sales representatives.

Leveraging Predictive Analytics to Strategize Ahead

Based on historical sales data and other metrics (such as competitor activities), AI systems can generate predictive reports on future trends. This helps management pre-plan marketing strategies, ensuring robust company development amid uncertainties. For example, by analyzing seasonal patterns of certain products over several years, AI aids in inventory management and promotional timing.

Open Innovation Drives Continuous Growth

The Shanghai AI Lab recently released the advanced InternVL3 series of multimodal large language models, showcasing the vast potential of AI technology. For foreign trade firms, keeping abreast and experimenting with such cutting-edge technologies is crucial. Not only can they enhance existing customer acquisition processes, but also inspire innovative thinking, driving long-term benefits for businesses.

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