DialogueDesk is an AI-powered complaint resolution and meeting management system designed to streamline customer feedback tracking and enhance meeting insights. It integrates a Telegram chatbot for users to log complaints and an admin dashboard for real-time monitoring and AI-driven meeting analysis.
By combining Natural Language Processing (NLP) and an intuitive interface, DialogueDesk helps businesses, customer support teams, and managers efficiently handle complaints while extracting valuable insights from meetings.
- Report Complaints: Submit complaints quickly via @DialogueDeskBot.
- Real-Time Updates: Receive instant updates on complaint progress.
- Notification Management: Customize when and how notifications are received.
- Casual Conversations: Engage in friendly chats with the bot.
- Live Complaint Monitoring: View real-time user complaints.
- Visual Insights: Track complaint statistics, including resolution rates.
- Topic Frequency Visualization: Dynamic word cloud highlights trending complaints.
- Searchable Complaint Log: Easily filter and find specific complaints.
- Upload recorded meeting audio (formats: MP3, WAV, M4A, FLAC, WEBM).
- Automatic Transcription: AI-generated transcripts of meetings.
- Key Topic Extraction: Summarizes main discussion points.
- Action Items: Identifies tasks assigned during meetings.
- Advanced Filtering: Search historical meeting records by date & topic.
- AI Q&A: Ask the AI agent about past meetings for insights.
- Meeting Summaries: Quickly review meetings without replaying audio.
DialogueDesk is built for businesses, teams, and organizations looking to improve customer experience and meeting productivity. Ideal users include:
- Customer Service Teams 🏢 - Efficiently track and resolve complaints.
- Business Managers 📊 - Gain insights from meetings and enhance workflows.
- Retail Stores & Restaurants 🍽 - Improve operations through structured feedback.
- Corporate Executives 🏢 - Minimize meeting overload with AI-generated summaries.
- Startup Ecosystems 🚀 - Iterate quickly based on customer feedback insights.