Automated AI based Email Responder

Automated AI based Email Responder

20.00 

Transform the way you handle incoming emails with our cutting-edge AI-based Automated Email Responder. Designed to streamline your workflow, this intelligent tool automatically generates professional responses to a variety of common email inquiries—saving you time and effort.

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Description

Transform the way you handle incoming emails with our cutting-edge AI-based Automated Email Responder. Designed to streamline your workflow, this intelligent tool automatically generates professional responses to a variety of common email inquiries—saving you time and effort.

Key Features:

  • Automated Quote Replies: Instantly send accurate and professional responses to price quote requests, tailored to your business needs.
  • Smart Decline for Unwanted Offers: Effortlessly handle unsolicited sales offers with polite, customizable rejection messages, freeing up your inbox from clutter.
  • 24/7 Availability: Ensure that your emails are addressed promptly, even outside of business hours, improving communication speed and client satisfaction.
  • Customizable Responses: Personalize the AI responses to reflect your brand’s voice and unique preferences, ensuring each email aligns with your business identity.

Optimize your email management with this smart responder and free up time for what really matters—growing your business.

System Requirements

1. Server: Linux Virtual Private Server (VPS)

  • Operating System: Ubuntu 20.04 or CentOS 7+ recommended
  • RAM: 2 GB (4 GB recommended for handling higher loads)
  • CPU: 1 core (2 cores recommended)
  • Storage: 10 GB SSD (20+ GB recommended for large mail data storage)
  • Network: Stable internet connection with an open port for SMTP (e.g., port 25)

2. Python Environment

  • Python Version: Python 3.8 or newer
  • Required Libraries:
    • Flask/Django (for the web interface or API)
    • NLTK or spaCy (for natural language processing)
    • Pandas (for data handling and analysis)
    • Scikit-learn (for any machine learning models)
    • TensorFlow/PyTorch (optional, if using deep learning models)
    • Requests (for handling HTTP requests)
    • Postfix-policyd-spf-python (optional for email handling)

3. Email Server: Postfix (SMTP Server)

  • Postfix Version: Latest stable version
  • Requirements:
    • Properly configured DNS records (SPF, DKIM, and DMARC) to avoid being flagged as spam
    • Relay and authentication setup if needed
    • SSL/TLS certificates for encrypted email communication

4. Mail Delivery Agent: Courier

  • Courier Version: Latest stable version
  • IMAP/POP3: Enable Courier IMAP and POP3 for retrieving emails
  • TLS/SSL: Required for secure email communication

5. Database (Optional for advanced setups)

  • MySQL/PostgreSQL: For storing logs, user configurations, and training data for machine learning models
  • SQLite: Lightweight alternative for smaller setups