Challenge / Problem Statement

The client faced multiple challenges:

  • Manual feedback analysis was time-consuming and error-prone.
  • Lack of structured reporting made it difficult to identify growth opportunities.
  • Decision-making often lacked actionable insights from employees and leadership.
  • Difficulty in translating raw feedback into strategic business decisions.

Objectives

  • Automate feedback analysis and reporting.
  • Provide leadership with data-driven insights.
  • Improve decision-making with actionable recommendations.
  • Enhance scalability by leveraging AI/ML-powered systems.

Our Solution

We designed and implemented an intelligent automated report generation system using Google Gemini and ChatGPT. The system:

  • Collected structured and unstructured feedback from CEOs and employees.
  • Preprocessed and cleaned data to ensure quality inputs.
  • Applied prompt engineering to design contextual and strategic prompts.
  • Leveraged Gemini and ChatGPT to generate high-quality, insight-driven reports.
  • Delivered leadership-ready business intelligence with actionable recommendations.

Tools & Tech Used

  • Google Gemini API
  • Python
  • Webhooks/API
  • ChatGPT (OpenAI API)
  • Pandas, NLTK
  • Jinja2, Markdown

Results & Impact

  • End-to-end automated system for report generation.
  • Reduced manual effort by 80%+.
  • Improved efficiency in gathering and interpreting feedback.
  • Provided leadership with clear action points for scaling.
  • Increased engagement by including employee insights in strategic planning.
  • Delivered high-quality, tailored strategic reports powered by LLMs.

Key Takeaways

  • AI/ML unlocks hidden business insights from employee and leadership feedback.
  • Automated reporting significantly reduces time, cost, and manual effort.
  • MoreYeahs’ AI expertise enables scalable, future-ready solutions for enterprise growth.

Project Duration & Team

  • Duration: 6 weeks
  • Team: 1 Project Manager, 2 AI/ML Engineers, 1 Frontend Developer
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