NEWS LEXI INFO

Obsolescence Management

1 June 2024 · 2 min read

Proactively monitor your products with automated notifications to replace components before obsolescence becomes a crisis. Our platform simplifies tracking and ensures the supply of critical components through End of Life projections, enabling longer lasting, healthier products while avoiding unnecessary costs and supply disruptions.

Lexi’s Cloud Platform provides a strategic approach to manage and proactively report product health based on component life cycle management.

Lexi will alert which components and related product volumes for making fact-based decisions covering product redesign decisions, alternative components (AML) updates or last time buy (LTB).

Lexi’s Obsolescence Management empowers organizations to analyze at any level across products, product families and divisions, whether you’re focused on individual components, a PCBA or Box Build, Lexi offers the flexibility to address your specific needs.

The platform revolutionizes traditional processes by digitalizing the tracking and analysis of Product Change Notifications (PCNs) and Product Discontinuation Notifications (PDNs). Instead of relying on static PDF and or Excel sheets, Lexi enables dynamic system-based monitoring that keeps you informed of critical component changes.

Key benefits include:

  • Proactive Component Management
    Real-time updates and alerts for changes in component availability and specifications
  • Impact Assessment

    Insight into the correlation between component changes, product importance, and
revenue impact
  • Spare Parts Optimization

    Streamlined management of spare parts to reduce risks and ensure product longevity

Lexi centralizes and integrates critical material data, including alternative components (AMLs), potential components based on form, fit and function (PMLs), and pricing details such as contract prices, quotes and market rates. Additionally, it provides insights into emerging technologies, enabling informed decision-making and optimized component selection.

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