In high-frequency communication scenarios such as marketing, customer service, and operation, enterprises accumulate tens of thousands of conversation data every day. These data contain customer needs, service shortcomings, and growth opportunities. However, under traditional analysis methods, the value of the data is greatly underestimated.
Manual analysis heavily relies on personal experience, and different analysts often come to completely different conclusions; business improvement lacks objective basis and can only be "decided based on intuition", making it difficult to achieve precise attribution and continuous optimization.
To address this pain point, Cloopen Large Model Conversation Insight (Insight Agent) has been fully upgraded - a new "Diagnostic Report Generation" function has been launched, allowing each piece of conversation data to independently "reveal" the business truth.
From "Experience Judgment" to "Data-Driven Decision Making"
The core of the "Diagnostic Report Generation" function is to automatically convert the scattered conversation data of the enterprise across various channels (400 hotline, online customer service, enterprise WeChat, historical recordings, etc., all-channel data) into structured and decision-ready diagnostic reports.
Without the need for analysts to spend weeks organizing and categorizing, large models can automatically complete semantic recognition, label clustering, and cross-analysis, outputting a complete "Data - Attribution - Suggestions - Actions" full-chain report, completely solving the industry pain point of "conclusions relying on personal experience and lacking objective data support".
After being applied by a life insurance client, the work that originally took analysts several weeks to complete could be completed within several hours; after the strategy was implemented, the complaint rate for policy cancellations decreased by 30% or more, and the marketing conversion rate increased by 8% or more.
Six modules, comprehensively understanding the overall business picture
Each report generated by the Cloud Conversation Insight Insight Agent contains six core modules, covering the complete decision-making path from data presentation to strategic suggestions:
- Data Overview
Displays the overall data distribution and key features, quickly understanding the overall customer interact
- In-depth Diagnosis of Key Products
Conduct a multi-dimensional analysis of core products or service lines to identify potential issues and growth opportunities.
- Key Findings
Summarize the most business-relevant insights to support decision-making and focus on key areas.
- Business Insights
Extract trends and patterns from customer behaviors to provide direction for product and service strategies.
- Action suggestions
Propose immediate and feasible optimization measures for different problem types.
- Comprehensive Conclusion and Strategic Recommendations
From a macro perspective, propose priority improvement suggestions, short-term action plans, and medium-to-long-term strategic paths, and clearly define the core opportunities and growth breakthrough points.
Data-driven decision-making, AI-powered growth
The upgrade of Cloopen's Conversation Insight Insight Agent is not only an enhancement of functions, but also a revolution in the way enterprises make decisions.
It enables managers to no longer "listen and judge blindly", but instead rely on the diagnostic reports automatically generated by AI to accurately identify problems and scientifically formulate strategies, truly achieving the leap from "silent data" to "business value".