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AI-Powered RFP Scoring and Proposal Generation System for IT Services Firm

leobit.com

Information technology

Business services

eCommerce

Challenges in Manual RFP Management and Lead Prioritization

Manual processes for identifying, scoring, and responding to RFPs on outsourcing platforms consumed excessive time and resources, limiting team capacity to focus on high-value opportunities. Inconsistent proposal quality and delayed response times reduced lead conversion rates.

About the Client

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

Objectives for AI-Driven RFP Automation Solution

Automate 24/7 monitoring of outsourcing platforms for new RFPs
Implement AI-driven scoring system for opportunity prioritization
Generate tailored proposals with minimal manual intervention
Reduce staffing requirements for proposal generation by 67%
Increase lead conversion rates through standardized, high-quality submissions

Core System Functionalities and Key Features

Continuous job posting monitoring across outsourcing platforms
Multi-criteria opportunity scoring and categorization engine
Generative AI proposal builder with case study integration
Corporate LLM integration for domain-specific expertise retrieval
Dual-mode submission workflow (fully automated and semi-automated moderation)

Technologies for Implementation

Azure OpenAI

Selenium WebDriver

Google Spreadsheet API

Large Language Models (LLMs)

Required System Integrations

Outsourcing platform APIs
Google Workspace ecosystem
Corporate project database
Internal LLM (Leora)

Non-Functional Requirements

24/7 system availability
Real-time data synchronization
Enterprise-grade security for client data
Scalable cloud architecture
Cross-platform reliability

Expected Business Impact

Anticipated 20% increase in qualified leads from outsourcing platforms, 67% reduction in SDR workload through automation, improved proposal consistency, and cost savings from focused high-score lead prioritization. 24/7 operation ensures no opportunities are missed while maintaining compliance with platform submission policies.