This district has a permanent population of about 2.5 million people, and the district government has only 12 staff members dealing with the public's daily demands. Daily demands involve more than a dozen fields such as civil affairs, education, healthcare, and public security, requiring coordination with over 170 different departments. Staff members often struggle with the quality and timeliness of response due to the complexity of the knowledge involved, the number of departments, and limited human resources. There was a plan to introduce digital customer service, but due to the variety of data types in the grassroots business departments and poor data quality, it led to a small total amount of knowledge in the Q&A knowledge base and poor retrieval matching results, ultimately abandoning the integration of customer service robots.
Based on the GuanZhong, using advanced technologies such as deep semantic recognition, machine learning, and knowledge graphs to provide users with instant consultation responses, achieving business functions including intelligent Q&A, thematic services, public consultation management, knowledge management, and operation management.
Urgent need to convert a massive amount of grassroots public service experience into business knowledge.
There is a large volume of public consultation-type demand events, and grassroots service personnel cannot respond immediately.
Multiple sources of community business data, difficult to extract value from data.
Systematic governance services for livelihood business knowledge data, consolidating data assets.
"Handle before complaints", providing 7 x 24-hour instant Q&A services.
Intelligent knowledge graphs, organizing knowledge context, and providing precise Q&A services.
Integrated over 100,000+ multimodal knowledge data.
Served 2000+ kinds of administrative matters.
Covered over 170+ community grassroots departments.
Grandhoo