Overview

A global technology leader sought to improve visibility across its product engineering lifecycle by addressing fragmented data sources, manual reporting processes, and delayed access to critical program insights. Engineering and program teams spent significant time navigating multiple systems, generating reports, and validating product information, limiting operational agility and decision-making.

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A global technology leader sought to improve visibility across its product engineering lifecycle by addressing fragmented data sources, manual reporting processes, and delayed access to critical program insights. Engineering and program teams spent significant time navigating multiple systems, generating reports, and validating product information, limiting operational agility and decision-making.

We developed an AI-powered Product Lifecycle Intelligence platform that unified enterprise data, enabled conversational access to engineering insights, and automated analytics and forecasting. The solution delivered a 4X improvement in productivity and over 600,000 annual effort hours savings.

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Industry Challenge

This global technology leader is one of the world's largest and most influential software and cloud companies, with operations spanning more than 100 countries and a product portfolio touching billions of users worldwide. As the company's engineering complexity grew, so did the challenge of managing product lifecycle information including fragmented product data, manual reporting and analysis, and delayed decision making.

Our Approach and Solution

Tech Mahindra designed and implemented an AI-powered Product Lifecycle Intelligence platform that consolidated engineering, program management, and supplier data into a unified intelligence layer. The solution enabled users to access complex product information through natural language interactions, eliminating the need for manual search and technical query development.

The result was a scalable intelligence ecosystem that empowered engineering and program teams to make data-driven decisions faster and more effectively.

Business and Community Impact

  • Achieved a 4X improvement in productivity
  • Delivered over 600,000 annual effort hours savings
  • Enabled adoption by more than 3,000 active users
  • Reduced information retrieval times to under five seconds
  • Accelerated issue identification and resolution cycles by 20-30%
  • Strengthened decision-making through real-time visibility