Obsolescence is now a key supply chain risk. In this piece with AMSYS, we explore modern strategies to cut disruptions, use automation, and build resilience for 2025.
In an era of unrelenting disruption, supply chains are being tested like never before. From regulatory overhauls and geopolitical shifts to accelerated product lifecycles and unforeseen supplier shutdowns, the list of risks has grown longer—and more complex.
And yet one of the most underestimated threats remains deeply embedded in every product: obsolescence.
Many companies continue to treat obsolescence as a passive, engineering-side issue. But in 2025, that siloed approach no longer holds up. The risk landscape demands a new model—one that’s proactive, data-driven, and tightly integrated with broader supply chain operations. This more assertive approach includes tapping into internal data sources from ERP and PLM systems to better understand the real-world impact of component-level change. A proactive, data-driven approach to obsolescence is most effective when risk insights are not only surfaced early but also automatically embedded into operational systems. By leveraging lifecycle management tools, companies can move from risk awareness to risk resolution—before disruptions occur.
Many companies continue to treat obsolescence as a passive, engineering-side issue. But in 2025, that siloed approach no longer holds up.
The goal isn’t just to respond faster. It’s to anticipate, prioritize, and act long before the risk materializes.
Despite the increasing sophistication of supply chain technology, many companies still rely on outdated strategies for managing obsolescence. Static lifecycle forecasting, disconnected tools, and fragmented data streams can create blind spots that leave organizations vulnerable.
Some of the most common pitfalls to obsolescence management frameworks include:
Without a structured execution layer, risk insights often remain reactive rather than actionable.
The result? Components go obsolete without warning. Design teams scramble for alternates. Procurement faces shortages and inflated costs. And supply chain disruptions that could have been avoided end up halting production.
A 2023 Z2Data survey found that 30% of EOL components have no PCN. AMSYS closes the gap by embedding obsolescence risk tracking directly into lifecycle management workflows, ensuring a seamless connection between insight and action.
A 2023 Z2Data survey found that 30% of EOL components have no PCN.
To navigate the modern risk environment, businesses need to shift from reactive tactics to a strategic, end-to-end approach. To successfully make this transition, organizations have to break down silos between engineering, procurement, and compliance—and centralize decision-making on a shared platform that’s powered by real-time intelligence.
Relying on lifecycle status alone for obsolescence management is no longer enough. Modern risk management measures must incorporate external data like trade compliance, geopolitical risk, manufacturer health, and environmental regulations. Just as importantly, that data must be matched with internal impact factors—including usage patterns, BOM prevalence, inventory levels, and redesign costs.
Modern risk management measures must incorporate external data like trade compliance, geopolitical risk, manufacturer health, and environmental regulations.
When internal and external signals are processed together through a centralized lifecycle management platform, companies can:
Component obsolescence doesn’t just threaten individual parts—it can expose structural vulnerabilities across your entire supply chain. Without visibility into where your components are sourced, assembled, or manufactured, you may be blind to critical chokepoints—single suppliers, regions, or manufacturing sites where disruption could cascade across multiple products.
These bottlenecks often lie deeper in the supply chain, beyond Tier 1 vendors. A fire at a key sub-tier supplier, a regulatory shutdown, or geopolitical instability at a manufacturing site can all create ripple effects that stall production.
Environmental and trade regulations are increasingly acting as drivers of obsolescence. Restrictions from RoHS, REACH, and now PFAS reporting mandates are forcing companies to re-evaluate components they’ve used for years.
Even without a formal obsolescence or discontinuation announcement, a part may effectively become non-viable if it fails to meet new compliance thresholds. Keeping pace with these changes—and embedding compliance checks into obsolescence workflows—is critical for avoiding last-minute redesigns and costly supply interruptions. To achieve this, companies must proactively assess risk exposure from regulations, ensure real-time compliance visibility, and install early warning systems.
Keeping pace with these changes—and embedding compliance checks into obsolescence workflows—is critical for avoiding last-minute redesigns and costly supply interruptions.
Manual obsolescence tracking is no longer sustainable. The pace of change, combined with the volume of data involved, requires digital tools that can continuously monitor risks and facilitate automated workflows.
When embedded in lifecycle management platforms, automation allows for:
Automating workflows, in other words, enhances the speed and efficiency of obsolescence management, transforming static tracking into dynamic execution.
Organizations that shift to a more proactive, technologically advanced obsolescence management model are seeing meaningful returns.
A proactive strategy enables teams to:
Perhaps most importantly, a proactive strategy turns obsolescence into a strategic function—one that strengthens operational continuity and competitive positioning across the enterprise. Companies using integrated workflows and lifecycle assessment automation report faster risk mitigation, reduced redesign costs, and a reduction of emergency procurement. By moving from reactive crisis management to structured risk intelligence, businesses can significantly improve supply chain resilience while lowering costs.
As the risk landscape becomes more complex, no organization is able to effectively manage and mitigate threats to their business alone. Data, process, and execution need to come together in a seamless, tech-enabled strategy.
That’s why Z2Data is deepening its collaboration with AMSYS, a global leader in lifecycle and obsolescence management. This ongoing partnership brings together:
Together, the two firms are helping manufacturers unlock a “lifecycle intelligence hub”—a digital nerve center where internal and external data converge, risks are assessed in real-time, and actions are orchestrated across engineering, procurement, and compliance.
Obsolescence may not make as many headlines as some of the more high-profile risks threatening supply chains. Its impact, however,is felt in every corner of the manufacturing process.
As products become more complex, lifecycles shorten, and regulations grow more restrictive and demanding, companies that continue to rely on reactive approaches will fall behind. Now is the time to reimagine obsolescence management. With automated lifecycle management platforms (LCM Client by AMSYS), and supply chain intelligence tools (Z2Data), it’s possible to seamlessly integrate risk mitigation into daily operations, reducing disruptions and saving valuable resources.
By embracing a modern, integrated, and proactive strategy, businesses can go beyond minimizing disruption. They can unlock strategic value from one of the most overlooked levers of operational resilience.
Z2Data’s integrated platform is a holistic data-driven supply chain risk management solution, bringing data intelligence for your engineering, sourcing, supply chain and compliance management, ESG strategist, and business leadership. Enabling intelligent business decisions so you can make rapid strategic decisions to manage and mitigate supply chain risk in a volatile global marketplace and build resiliency and sustainability into your operational DNA.
Our proprietary technology augmented with human and artificial Intelligence (Ai) fuels essential data, impactful analytics, and market insight in a flexible platform with built-in collaboration tools that integrates into your workflow.