AI-powered Proposal Automation application

Scope of Accomplished Work

• Objectives

  • •Develop a Minimum Viable Product (MVP) to validate core concept and collect early user feedback
  • •Streamline the proposal creation process to minimize manual effort and improve efficiency
  • •Ensure proposals are consistent, structured, and aligned with company standards and industry regulations
  • •Implement real-time editing, version tracking, and multi-user support for seamless teamwork
  • •Build a cloud-based infrastructure capable of handling increasing workloads and growing user demand
  • •Successfully launch the MVP in a real-world business environment

• Challenges

  • •Integrating advanced AI models to accurately interpret and utilize vast amounts of company data
  • •Ensuring the platform supports real-time collaboration without compromising performance
  • •Maintaining data security, compliance with GDPR, and enterprise-level reliability
  • •Deploying the MVP within tight deadlines while allowing room for future feature expansions

• Solutions Implemented

  • •Built a lean but fully functional MVP, focusing on core AI-powered proposal generation, collaborative editing, and cloud deployment
  • •Deployed NLP models using TensorFlow and Hugging Face Transformers to extract and structure relevant data from knowledge bases
  • •Implemented context-aware proposal suggestions, reducing manual input
  • •Developed multi-user editing tools, version tracking, and live updates for seamless team collaboration
  • •Launched the platform on AWS, ensuring high availability, scalability, and security compliance

• Results

  • •MVP Successfully Deployed: Initial user feedback helped refine AI algorithms and usability
  • •Proposal Creation Time Reduced by 70%: Automated workflows replaced manual document drafting
  • •Consistent & Compliant Proposals: Ensured document standardization across teams
  • •Enhanced Collaboration: Teams could now edit, review, and approve proposals in real-time
  • •Scalable Infrastructure: The AWS-based architecture allowed for seamless business growth and future feature expansions