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Lengthy collaboration process
Cross-departmental collaboration relies on manual processes and email approvals, resulting in low efficiency and poor transparency?
服务入口割裂
各职能部门系统分散,员工或业务部门提需求找不到入口?
Transaction processing is highly dependent on manpower
Forms, allocations, and tracking are all driven by manpower, making process standardization difficult to implement?
知识复用率低
各职能文档分散管理,常见问题重复处理,经验难沉淀?
Lack of closed loop of operational data
Service quality is difficult to quantify, and managers have no way to optimize resources and processes?
One-stop service directory
Aggregate various functional services (such as HR, finance, IT, etc.) to allow employees and managers to handle or query matters through a unified portal
AI Intelligent Customer Service
24/7 online Q&A, automatically responding to service requests and various consultations based on the knowledge base
Multi-channel bill of lading capabilities
Supports text, voice, image and other input methods, AI parses content and fills in forms, simplifying the submission process
Visual process design
Functional departments can independently configure approval processes to achieve cross-departmental processing standardization and flexible adjustment
Intelligent task distribution
The system automatically assigns tasks to the best handler according to the rules, improving processing efficiency and accuracy
Process status tracking
View the status and processing progress of each process link in real time, support abnormal node warning and rapid response, and ensure process closed loop
Low-code service configuration
Support business personnel to independently create forms, views and flow rules, and quickly launch shared service items
Enterprise Knowledge Center
Each function maintains rules and regulations, operating instructions, and frequently asked questions in a unified manner, supporting classification management and full-text search
AI empowers knowledge circulation
AI helps generate knowledge, recommend tags, and optimize content to improve knowledge availability and service quality.
SLA管理与预警
设置不同事项的服务承诺时效,系统自动监测并提醒异常
多维度数据分析
实时查看服务请求量、响应率、满意度、知识使用率等核心指标,为运营改进提供决策依据
流程绩效归因
通过数据关联服务环节与处理人表现,辅助识别瓶颈与优化方向,驱动精细化运营