ChatBees provides an AI-driven customer support solution that builds Knowledge Graphs from historical ticket data and internal knowledge bases to enhance ticket resolution efficiency. By automating ticket analysis and generating actionable insights, the platform reduces resolution times by up to 52%, improving overall customer satisfaction and support team productivity.
Funding
Funding not disclosed
Founders
Product
Problem
Customer support teams often struggle with long resolution times due to inefficient ticket analysis and difficulty accessing relevant information from disparate sources. This can lead to decreased customer satisfaction and reduced productivity for support agents.
Solution
ChatBees offers an AI-powered customer support platform that leverages knowledge graphs to streamline ticket resolution. The platform ingests data from historical tickets and internal knowledge bases, such as PDFs, web help centers, Notion, Confluence, and Google Drive, to build a comprehensive knowledge repository. Using this knowledge graph, ChatBees automatically analyzes incoming tickets, provides actionable insights directly within the ticketing system, and assists support agents in resolving issues more efficiently. By automating ticket categorization and providing AI-driven insights, ChatBees reduces resolution times and improves both customer satisfaction and support team performance.
Target Audience
ChatBees primarily targets customer support teams and companies seeking to improve ticket resolution efficiency, enhance customer satisfaction, and reduce support costs through AI-driven automation.
Features
- Knowledge Graph construction from historical tickets and internal knowledge bases (PDFs, DOCs, Web Help Center, Notion, Confluence, Google Drive)
- AI-powered ticket analysis and categorization using generative models
- Connectors for popular ticket systems like HubSpot
- Integrations with messaging platforms such as Slack and Discord via dedicated bots
- Automated lead identification based on customer sentiment analysis
- API for creating collections, configuring collections, and managing data source ingestion from Confluence, Google Drive, and Notion
- Serverless RAG (Retrieval-Augmented Generation) architecture
- Role-based access control