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Beijing Solution

EMPOWERING CHINA SERVING THE WORLD

Beijing Solution

Collaborative Office

Product

Jingban

User Pain Points

Provincial (municipal) governments face issues such as difficulty in information transfer, challenges in collecting and updating grassroots data, and scattered government office application systems with slow iteration and upgrades. Meanwhile, existing instant messaging or office products on the market fail to meet these government application needs. They cannot fully ensure the security of government data.

Solution Features

As the unified entry point for provincial (municipal) government offices, the platform is built for government work scenarios and covers four administrative levels, including city, district, subdistrict, and community levels. It provides a unified basic collaborative office platform, offering core functions such as address book, messaging, video conferencing, collaborative documents, task and schedule management, and expands the microservice ecosystem of government applications. The platform integrates DeepSeek and JD's large language models to create an "Intelligent Assistant", offering capabilities such as intelligent fuzzy contact search, leadership data queries, government document drafting assistance, intelligent meetings, chatbots, and intelligent summarization. It enhances the intelligence level and efficiency of government work. The product can be privately deployed in government environments, allowing users to work anytime, anywhere via PC or mobile devices.

Target Users

Provincial and municipal governments, central and state-owned enterprises.

Best Practices

"Jingban" has been implemented across Beijing's 16+1 districts and all 114 municipal units, serving over 500,000 users. The average daily active rate of municipal users is nearly 80%, ranking among the top government collaborative platforms nationwide. It has been tested in major events such as the Winter Olympics and the National People's Congress and CPPCC sessions, completed full-stack localization transformation, became the first to meet the work-secret information protection standard, and adapted to the HarmonyOS system. Jingban is capable of handling work-secret-level government collaboration. It has now been promoted to national ministries, central state-owned enterprises, and multiple local governments.

Provider
JD Technology Information Technology Co., Ltd.

Website
https://www.jdcloud.com

Contact
Zhang Yang 13925215909 zhangyang529@jd.com

JD Technology (JDT) is a business group under JD.com with a focus on serving governmental and corporate clients through technology. Living up to the mission of leading technology to promoting the digital intelligence of industries, making the world more efficient and beautiful, it is committed to providing technological products and services with a root in the whole value chain to governments, enterprises, financial institutions, and other clients. Based on cutting-edge technologies such as AI, cloud computing, big data, and IoT, and drawing on the experience in the supply chain accumulated by JD, JDT has grown into a provider that has the best industry know-how, providing clients with digital and intelligent solutions based on the supply chain.

Among over 10,000 employees at JDT, more than 60% are R&D and professional personnel, among whom several are IEEE fellows with more than 40 top global scientists. Playing the role of the driving force to JDT’s R&D, JD Explore Academy has made continued efforts in frontier theoretical research and innovation fields. By the beginning of 2022, JD.com has applied for a total of 4,635 patents and published nearly 500 articles at AAAI, IJCAI, CVPR, KDD, NeurIPS, ICML, ACL, ICASSP and other top technology events in the world. It has won 25 top laureates globally in numerous international academic competitions and cooperated with many domestic and overseas universities including Stanford University and University of Science and Technology of China to establish an AI lab and fully carry out the practice of Industry-University-Research collaboration.