摘要
为探索DeepSeek人工智能技术在数字贸易领域的应用场景与实施路径,可通过案例研究,考察该技术在市场调研、客户开发、多语言自动翻译功能优化、营销策略优化、供应链流程优化及风险控制等方面的实际应用价值,并用数据度量降本增效的程度。研究表明,DeepSeek不仅可以明显加强数字贸易企业开展市场调研的速度和准确性,削减客户开发所需的成本和时间,提升多语言自动翻译的准确度,加强与潜在客户的沟通交流;还有助于提高营销策略的成效,巩固品牌影响力,优化供应链流程,提升风险规避及合规操作方面的能力。
In order to explore the application scenario and implementation path of DeepSeek artificial intelligence technology in the field of digital trade,the study employs case studies to demonstrate its practical value in market research,customer acquisition,multilingual auto-translation optimization,marketing strategy refinement,supply chain process optimization,and risk control.Quantitative data is used to measure the extent of cost reduction and efficiency improvement.The research shows that DeepSeek can not only significantly enhance the speed and accuracy of market research by digital trading enterprises,reduce the cost and time required for customer development,improve the accuracy of multilingual automatic translation,and strengthen communication with potential customers;It also helps to improve the effectiveness of marketing strategies,consolidate brand influence,optimize supply chain processes,and enhance the ability of risk avoidance and compliance operation.
作者
寇玲
KOU Ling(Guangzhou Vocational and Technical University of Science and Technology,Guangzhou,Guangdong 510550,China)
出处
《河北开放大学学报》
2025年第6期54-58,共5页
Journal of Hebei Open University
基金
广州科技职业技术大学国际数字贸易科研创新团队科研成果
广州科技职业技术大学“专精特新”企业管理与政策研究基地科研平台科研成果。
