AI-Powered PLM Solutions for Semiconductor Manufacturing

Overview

A global semiconductor services provider faced PLM inefficiencies—fragmented workflows, poor data and document management, slow search performance, limited automation, and complex UI/UX—that delayed time-to-market. Tech Mahindra partnered to design a next-gen PLM platform with AI, automation, and cloud workflows, closing gaps and streamlining processes. The result: a future-ready PLM model that accelerates product launches and enables data-driven decisions.

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Client Background and Challenges

  • Non-integrated systems causing inefficiencies and higher costs.
  • Insufficient data and documentation hindering timely decision-making.
  • Cumbersome UI/UX leading to poor search and analytics capabilities.
  • Inefficient legacy platforms struggling under growing data volumes.
  • Minimal AI and automation leading to heavy reliance on manual work.
  • Limited training and adoption reducing workforce productivity.

Our Approach and Solution

We cocreated a transformation roadmap and introduced capabilities that supported the client’s goals for speed, accuracy, and scale:

  • Workshops to capture cross-team pain points and workflow expectations
  • Fit-gap analysis covering people, process, data, and technology
  • Prioritization based on client-defined business impact
  • Redefined UX to match how client teams navigate and consume data
  • AI-assisted documentation and search for faster access to information
  • Automated workflows to remove repetitive manual tasks
  • Cloud-enabled performance to support future product lines
  • Change management focused on ease of adoption for all user groups

Business and Community Impact

  • ~60% increase in operational efficiency through reduced manual effort.
  • ~40% reduction in processing time, accelerating time-to-market.
  • Improved data accuracy, reducing errors and rework.
  • Enhanced platform performance, enabling seamless scalability.
  • Superior user experience with AI-driven recommendations and personalized UI/UX.