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AI-Powered Sales Email Automation and Lead Management System

leobit.com

Information technology

Artificial Intelligence

Software Development

Inefficient Lead Response Management in IT Services

Inbound sales leads require immediate, personalized responses while filtering out spam and non-qualified prospects. Manual processing leads to delayed responses, missed opportunities, and inconsistent lead prioritization.

About the Client

Full-cycle .NET, AI, and web software development company with global development centers

Automate Lead Processing and Enhance Sales Engagement

Implement full automation for lead filtering, scoring, and response generation
Reduce sales team workload through AI-driven email handling
Improve lead conversion rates via immediate personalized responses
Establish structured workflow for lead prioritization
Enhance accuracy of lead qualification through intelligent scoring

Core System Capabilities

AI-driven email categorization into predefined service areas
Multi-criteria lead scoring engine
Context-aware personalized response generation using LLMs
Integration with CRM and email platforms
Real-time lead tracking dashboard

Technology Stack

Google Apps Script

OpenAI GPT-4

Google Sheets

Azure OpenAI Service

Azure Functions

System Integrations

Email server APIs (SMTP/IMAP)
CRM platforms (Salesforce, HubSpot)
LinkedIn API for company validation
Cloud storage services

Operational Requirements

Scalable architecture for 10x lead volume growth
Response generation latency under 5 minutes
Enterprise-grade data security and encryption
99.9% system uptime SLA

Enhanced Operational Efficiency and Lead Conversion Rates

Automated responses within minutes will increase lead engagement and conversion rates by 40-60%. Sales teams will save 15+ hours weekly per representative through reduced manual email handling, while AI-driven lead scoring will improve qualification accuracy by 70%.