AI-Powered Sales & Service Voice Assistant on Mon Sep 01

Voice AI

We developed an AI-powered voicebot that captures user details via live audio, evaluates eligibility, and pitches tailored plans using real-time data. It ensures smooth, two-way voice interaction by converting speech to text and back to speech dynamically.

Voice AI
TECH:
  • # Python
~4 MIN

VOICEBOT is a cutting-edge conversational AI platform designed to automate sales pitches and streamline customer interaction through natural, real-time voice communication. Built for scalability, speed, and smart integration, voicebot delivers human-like engagement with users — from capturing details to presenting tailored packages — all driven by real-time AI intelligence and audio processing.

Designed with intelligence and interactivity at its core, VOICEBOT features:

  • Real-time voice-to-text and text-to-speech streaming
  • Advanced eligibility-based plan pitching system
  • Custom script-following powered by LLM (Large Language Model)
  • Integrated data tools and dynamic backend decision logic
  • Seamless audio generation for real-time user feedback

VOICEBOT operates as a fully autonomous voice agent that converts spoken customer input into actionable insights, responds with precision, and guides users through complex decision trees with natural language fluency. Purpose of the Platform

  • To automate customer onboarding, data gathering, and eligibility checks through voice
  • To pitch dynamic plans/packages based on real-time user context and backend logic
  • To reduce human workload in sales and support with intelligent automation
  • To offer a fully interactive experience that feels human, helpful, and always available
  • To provide real-time feedback using speech synthesis and natural responses
  • To serve as an enterprise-ready module for call centers, booking engines, and customer service platforms
  • Platform Features

    A. Conversational Engine

    • Live voice streaming with audio chunking and real-time transcription
    • Natural language understanding using audio-to-text with sentence reconstruction
    • Context-aware dialogue system driven by custom scripts and real-time user input
    • Seamless response generation via LLM with fine-tuned prompt engineering
    • Speech synthesis engine for converting AI responses to high-quality audio

    B. Admin & Data Management Panel

    • Script editor and scenario planner for sales flow customization
    • User eligibility logic configuration and dynamic plan management
    • Real-time transcript logging and analytics for monitoring user journeys
    • Audio session management with searchable history
    • Role-based controls for voicebot trainers and admins

    C. Integration Tools

    • Connect with CRMs, booking engines, or custom sales databases via secure APIs
    • Real-time database queries and eligibility checks for dynamic decision-making
    • Modular architecture to plug into existing support or telephony systems
    • Real-time speech-to-text and TTS integrations (Whisper, ElevenLabs, etc.)

    Technology & Architecture

    • Frontend/UI (If Applicable): React.js with Tailwind CSS for the admin dashboard
    • Audio Layer: WebRTC / MediaStream APIs for real-time streaming
    • Backend: Node.js + Express.js for orchestrating logic and LLM integration
    • LLM: OpenAI GPT with custom prompt engineering and tool usage
    • Transcription Engine: Whisper or Deepgram for accurate voice-to-text
    • TTS Engine: ElevenLabs or Google Cloud TTS for speech output
    • Database: PostgreSQL for storing user profiles, conversations, and logic
    • Analytics: Custom dashboard with voicebot KPIs, engagement stats, and funnel tracking
    • DevOps: Dockerized environment with CI/CD via GitHub Actions and NGINX for deployment

    Industry Use Cases

    • Sales Automation: Lead qualification and pitch delivery via voice
    • Customer Support: Intelligent call handling for FAQs and troubleshooting
    • Booking Systems: Voice-enabled booking for flights, services, or demos
    • Healthcare & Insurance: Conversational onboarding and eligibility checking
    • Retail & eCommerce: Voice-powered product exploration and inquiries
    • Banking & Finance: Secure, compliant voice assistance for account info or service upsells

    Who Is This Platform For?

    • Sales teams looking to automate lead qualification and plan pitching
    • Enterprises aiming to reduce inbound support workload through voice automation
    • SaaS platforms that want to integrate real-time voice assistants
    • Call centers seeking to adopt AI-driven support systems
    • Developers building conversational experiences with LLMs and audio APIs

    Why VOICEBOT Stands Out

    • End-to-end voice interaction pipeline: from audio input to intelligent output
    • Real-time streaming architecture for natural, delay-free conversations
    • Dynamic plan delivery based on backend business rules and LLM output
    • Speech-to-text and TTS integration for fully automated call cycles
    • Scalable, customizable, and compatible with industry-standard tools
    • Analytics-driven improvements based on user behavior and session insights

    Want to Learn More?

    • Explore the experience: Book a demo and test the voice flow in action
    • Visit our site: [voicebot.parallaxis.in]
    • Partner with us: Integrate VOICEBOT into your customer service or booking stack
    • Contact us: Find out how VOICEBOT can automate your sales or support process

    Technology Stack

    Python

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