易讯数据董事长郑士进：通过大数据与AI赋能外贸企业高效发展

Core Insights - The article discusses the challenges faced by Chinese foreign trade enterprises and how Yijidata is leveraging big data and AI to address these issues [3][4]. Group 1: Challenges Faced by Foreign Trade Enterprises - Foreign trade enterprises in China encounter difficulties in market selection and customer development, making it challenging to identify potential markets and effectively reach target customers [3]. - The need for efficient customer engagement and project collaboration is highlighted as a significant obstacle for many companies [3]. Group 2: Yijidata's Solutions - Yijidata has launched the 6.0 platform, which integrates global trade statistics to help businesses accurately identify promising target markets [3]. - The platform includes a comprehensive customer resource database with over 10 billion entries, utilizing real-time customs data, exhibition information, and social media insights [3]. - The company introduced the "AI Inquiry" product to assist foreign trade enterprises in building independent websites and running targeted ads on search engines and social platforms, ensuring high-quality inquiries [3][5]. Group 3: Company Background and Achievements - Yijidata has been operational for 19 years, serving approximately 30,000 enterprises, including over 100 listed companies and around 30 Fortune 500 firms, with a high customer repurchase rate [3]. - The founder's background in international trade and the recognition of the commercial value of trade data have driven the company's focus on enhancing business efficiency for foreign trade enterprises [4]. Group 4: Future Development and Industry Trends - The future of the industry is seen as heavily reliant on big data, which is considered the fifth production factor alongside land, labor, capital, and technology [4]. - The integration of "big data + AI + deep service" is expected to enable foreign trade enterprises to operate more intelligently, efficiently, and precisely [4][5]. - Yijidata aims to transition from providing software tools (SaaS) to delivering measurable business growth outcomes (RaaS), emphasizing the value creation potential of data and AI [5].