Why audit before you evaluate?
Oracle has confirmed two hard end-of-support dates for Oracle Agile PLM. Premier Support ends December 2027. PLM for Process ends May 2027. These are not flexible, and there is no indication of further extensions. For the full timeline, the sources, and the options available, see when Oracle Agile PLM support ends and what the options are.
The planning window is shorter than it looks:A PLM evaluation typically takes six months to two years. Implementation adds another one to two years. If your organization has not started the process, the window between now and December 2027 is already tight, and tighter still for teams using PLM for Process, where support ends in May 2027. |
The single most common mistake in PLM transitions is treating migration as a technical data lift. Product data in a regulated environment is not just rows in a database. It is the living record of how products were developed, approved, and maintained. Before you evaluate any replacement platform, audit what you actually have, what state it is in, and what you cannot afford to lose.
KEY TAKEAWAY:The audit comes before the vendor evaluation, not after it. What you find determines what you need to ask. |
| Data category | What it includes | Key questions |
|---|---|---|
| Specifications | Ingredient, packaging, formula, and finished-product specs. | Are all specifications current, version-controlled, and traceable to their approval records? Can you export complete version histories, not just current-state snapshots? |
| Formulations | Recipe structures, BOMs, batch records, and cost models. | Are formulations linked to their regulatory assessments? Can you trace from a finished product back through every ingredient to its raw material supplier and compliance status? |
| Regulatory data | Compliance records, ingredient restrictions, labeling approvals, and claims substantiation. | Is your regulatory data connected to the product record, or stored in separate systems, spreadsheets, or shared drives? Can you demonstrate a complete audit trail for any product across every market you sell into? |
| Approval histories | Workflow records, sign-offs, change orders, and version trails. | Can you reconstruct who approved what, when, and under which version of a specification? This data is especially at risk during migration because approval histories are often stored in platform-specific formats that do not export cleanly. |
| Supplier records | Supplier qualifications, CoAs, questionnaires, and onboarding documentation. | Are supplier records managed inside your PLM or across a patchwork of portals, email, and file shares? During transition, unstructured supplier data is often the hardest category to consolidate. |
| Quality records | CAPA, consumer complaints, deviations, corrective actions, and audit trails. | Are quality events linked to the products and suppliers they relate to? Can you track a consumer complaint from intake through investigation to resolution, with full traceability? |
| Change control | ECOs, ECRs, impact analyses, effective dates, and traceability. | Does your change control process maintain end-to-end traceability across specifications, formulations, packaging, and regulatory records? Can you run a where-used analysis across your full product portfolio? |
| Packaging & artwork | Packaging structures, artwork files, print-ready specifications, and proofing workflows. | Are packaging specifications managed inside PLM or in a parallel system? Is artwork review, proofing, and approval integrated with the product development record? |
| Co-manufacturer data | Delegated access, contract manufacturing specifications, and co-man-specific formulations. | If you work with contract manufacturers, how do they access specifications today? Can you manage co-man-specific variants of a formula or spec without duplicating the entire product record? |
KEY TAKEAWAY:Identify what is clean, what needs remediation, and what is at risk. Migrating unreliable data into a new platform reproduces the problem at higher cost. |
Which regulatory workflows must keep running during transition?
Regulatory compliance is not a feature you migrate. It is a continuous operational requirement that must function without interruption through your transition. Any gap creates exposure: missed regulatory updates, broken labeling chains, lost audit trails, or delayed product launches.
| Regulatory area | Key questions |
|---|---|
| Ingredient restrictions | How does your current PLM track restricted and banned ingredients across markets? Will migration preserve the link between raw materials, restrictions, and the products that contain them? |
| Labeling continuity | Are labels generated from the product record or maintained separately? During migration, can you guarantee that label content matches the underlying specification and regulatory data? |
| Claims substantiation | Where is your claims substantiation data stored? Can you trace every on-pack claim to its supporting documentation, test results, and regulatory basis? |
| Multi-market compliance | If you sell across multiple regulatory jurisdictions, how does your PLM manage market-specific requirements? Can you demonstrate compliance for the same product across different regions simultaneously? |
| Allergen and nutrition | Are allergen declarations, nutrition calculations, and nutrition panel generation connected to the formulation record? What happens to these links during data migration? |
| Regulatory change monitoring | How are incoming regulatory changes identified, assessed, and applied to affected products? After Oracle support ends, who monitors regulatory changes that affect your product data structures? |
| Audit readiness | Can you produce a complete regulatory history for any product on demand? During transition, can you maintain this capability in both the legacy and new systems simultaneously? |
The hidden risk: frozen regulatory content
Oracle Agile PLM v9.3.6 is the final release. After support ends, there will be no platform updates to reflect new regulatory requirements, whether that is PPWR packaging rules in Europe, MoCRA cosmetics regulation in the US, FSMA 204 traceability requirements, or any future legislative change. Your regulatory posture becomes static while the regulatory landscape continues to move. |
KEY TAKEAWAY:Regulatory work cannot pause for a migration. Plan for both systems to answer the same question during the transition window. |
What integrations should you map?
PLM does not operate in isolation. It connects to ERP, CRM, LIMS, regulatory databases, supplier portals, sustainability platforms, digital asset management, and other enterprise manufacturing systems. The complexity of your integration landscape is one of the strongest predictors of migration risk.
Integration test:
Oracle positions Fusion Cloud PLM as the default migration path for Agile PLM customers, so most evaluating teams will consider it first. Whichever platform you evaluate, list every system your PLM connects to today — ERP, LIMS, master data management, digital asset management, sustainability reporting, regulatory databases — and ask the vendor how each connection is handled. Ask whether each connector is standard or custom, who builds it, and who maintains it after go-live. |
Before committing to any replacement platform, map every system your PLM currently touches and verify the following for each integration point.
| Integration area | Key questions |
|---|---|
| ERP connectivity | Does the replacement PLM integrate natively with your ERP, whether SAP, Oracle, JDE, NetSuite, or another platform? Is this a standard connector or does it require custom middleware? |
| CRM and project management | Does the replacement PLM integrate with front-end systems such as CRM and project management or workflow systems? Have stage-gate and workflow processes been identified and mapped? |
| LIMS and lab systems | How does the PLM exchange test results, material qualifications, and release data with your laboratory information management system? |
| Regulatory databases | Does the PLM connect to external regulatory data sources for real-time restriction and legislation updates? How frequently is this data refreshed? |
| Supplier portals | Can suppliers interact with the PLM directly, uploading CoAs, responding to questionnaires, managing qualifications, or does collaboration happen outside the system? |
| Digital asset management | How are artwork files, packaging graphics, and brand assets managed relative to the product record? |
| Sustainability platforms | If you track environmental data, carbon footprint, or EPR obligations, how does your PLM connect to these systems? |
| API architecture | Does the replacement platform offer open APIs that allow your IT team to build and maintain integrations, or are you dependent on the vendor for every connection? |
KEY TAKEAWAY:The breadth of your integration landscape determines whether a replacement PLM can function as a genuine system of record, or becomes yet another silo that requires manual reconciliation with the rest of your enterprise. |
What should you ask any replacement platform?
The Oracle Agile PLM end-of-support timeline creates natural urgency to find a replacement, but urgency is not a reason to skip a thorough evaluation. The following questions are designed to surface the capabilities that matter most in regulated, formula-based industries, the areas where legacy platforms and ERP-based alternatives most commonly fall short.
Formulation and product development
| Formulation management | Can the system create, version, and compare formulations with real-time regulatory checks as ingredients are added? |
| Cost and scaling | Does the platform support cost optimization, yield calculations, and batch scaling natively? |
| Variant management | How does the system handle high-volume product variant families without duplicating data across every variant? |
| Connected data model | Can formulation, specification, and regulatory data be managed in a single connected record, or are they stored in separate modules that require manual synchronization? |
Ask for a live demonstration of formulation creation, not just screenshots. Interface complexity is one of the most common pain points reported by teams moving off legacy PLM, particularly in formulation and regulatory workflows where users need to move quickly.
Regulatory compliance
| Regulatory coverage | How many countries, languages, and regulatory sources does the platform cover natively? Is regulatory content maintained by the vendor or by your team? |
| Real-time updates | When a regulation changes, how quickly is the platform updated? Are these updates pushed automatically or do they require manual configuration? |
| Labeling | Can the platform generate compliant labels and ingredient lists directly from the product record, across multiple markets and languages? |
| Claims management | How does the platform manage claims substantiation, including the link between on-pack claims and their supporting documentation? |
| 21 CFR Part 11 / MoCRA | Does the platform support electronic signatures, audit trails, and the specific requirements of FDA-regulated environments, including the new cosmetics safety requirements under MoCRA? |
| PPWR and EPR | How does the platform help manage packaging reporting, recyclability assessment, and extended producer responsibility obligations under PPWR requirements? |
Implementation and support model
| Implementation model | Does the vendor deploy through their own professional services team or through third-party system integrators? What is the vendor’s preferred model, and how does that affect timeline, cost, and accountability? |
| Typical timeline | What is a realistic implementation timeline for an organization of your size and complexity? Ask for reference customers, not best-case estimates. |
| Configuration vs. customization | How much can be configured by your own team versus requiring vendor or SI involvement? What is the cost and lead time for changes after go-live? |
| Release cadence | How often does the vendor release updates? Are updates mandatory? How do they handle backward compatibility? |
| Total cost of ownership | Beyond licensing, what are the costs for implementation, training, integrations, ongoing support, and future upgrades? Ask for a five-year TCO projection. |
Quality management and collaboration
| Quality management | Is quality management (CAPA, deviations, nonconformances, consumer complaints) a native part of the PLM, or a separate module or third-party add-on? |
| Quality-PLM integration | Can quality events block downstream actions, for example requiring CAPA closure before a specification change is approved? |
| Supplier collaboration | Can suppliers manage their own qualifications, upload certificates, and respond to questionnaires through a dedicated portal? Or is supplier collaboration managed through email and file exchange? |
| Co-manufacturer access | Can contract manufacturers access only the specifications relevant to their work, with delegated permissions that do not expose your full product portfolio? |
| Artwork and packaging | Does the platform support artwork review, proofing, and approval as part of the product development workflow? Or is packaging managed in a parallel system? |
| PPM capabilities | Does the platform include project and portfolio management, stage gates, resource planning, timeline tracking, connected to the product data? Or is this a separate tool? |
AI and innovation capabilities
Modern PLM platforms are increasingly incorporating AI and advanced analytics. When evaluating replacements, consider how the platform leverages these capabilities to accelerate product development.
| AI in formulation | Does the platform use AI to assist with formulation development, suggesting ingredient substitutions, optimizing cost, or predicting compliance issues before they arise? |
| Predictive analytics | Can the platform analyze historical product data to identify trends, optimize processes, or predict quality issues? Does the platform integrate with analytics tools such as Power BI and Tableau? |
| Data model for AI | Is the product data model structured to support external AI/ML platforms, or is data locked inside the vendor’s system? |
| Automation | What workflows can be automated, including approval routing, notification triggers, regulatory checks, and specification generation, without requiring custom development? |
KEY TAKEAWAY:Prioritize vendors with native process-industry capabilities, formulation, regulatory, packaging, supplier collaboration, over those that offer these as add-ons or partner solutions. |
What are your next steps?
Whether your Oracle Agile PLM transition is imminent or still in the planning stage, the following actions will put your organization in a stronger position.
Immediate, this quarter
- Confirm your support timeline. Verify whether your organization is on Premier Support (December 2027) or PLM for Process (May 2027). The planning window differs significantly.
- Start your product data audit. Use the framework above to assess the state of your specifications, formulations, regulatory data, and approval histories. Identify what is clean, what needs remediation, and what is at risk.
- Map your integration landscape. Document every system your PLM touches and the data that flows between them. This is the foundation for any vendor evaluation.
Near-term, next two quarters
- Evaluate replacement platforms using the framework above. Prioritize vendors with native process-industry capabilities over those that offer these as add-ons or partner solutions.
- Request reference customers in your industry vertical and at your scale. Ask specifically about implementation timeline, data migration approach, and post-go-live support.
Work through the audit with your team :The fillable worksheet turns this framework into a working document: every category with status, owner, target date, and notes, so you can assign the audit and track it to completion. |
Frequently Asked Questions
Why audit product data before choosing a replacement platform?
The single most common mistake in PLM transitions is treating migration as a technical data lift. Product data in a regulated environment is the living record of how products were developed, approved, and maintained. Audit what you actually have, what state it is in, and what you cannot afford to lose.
Which product data is most at risk during migration?
Approval histories. They are often stored in platform-specific formats that do not export cleanly. Verify whether you can reconstruct who approved what, when, and under which version of a specification.
What happens to regulatory compliance during a transition?
Regulatory compliance is not a feature you migrate. It is a continuous operational requirement that must function without interruption. Any gap creates exposure: missed regulatory updates, broken labeling chains, lost audit trails, or delayed product launches.
Which data is hardest to consolidate?
Unstructured supplier data. Where qualifications, CoAs, and questionnaires are managed across a patchwork of portals, email, and file shares, supplier records are the hardest category to consolidate during transition.
How does the integration landscape affect migration risk?
PLM connects to ERP, CRM, LIMS, regulatory databases, supplier portals, sustainability platforms, digital asset management, and other enterprise manufacturing systems. The complexity of your integration landscape is one of the strongest predictors of migration risk.
About Trace One Devex PLM
Trace One Devex PLM is a product lifecycle management platform for food and beverage, cosmetics and personal care, consumer packaged goods, and chemicals manufacturers. It supports project and portfolio management, formulation, product development, regulatory compliance and labeling, packaging management, supplier collaboration, quality management, and analytics, deployed by Trace One’s own professional services team.
Disclaimer: This document references published Oracle support timelines as of July 2026, sourced from the Oracle Agile PLM Roadmap. Oracle Agile PLM and Oracle Fusion Cloud PLM are trademarks of Oracle Corporation. Trace One is not affiliated with Oracle.
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