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Evaluating a PLM vendor means assessing two things that are easy to confuse: what the software can do, and whether the vendor can get it working in your organization. Most selection processes over-weight the first and under-weight the second, which is why so many PLM projects that passed the functional evaluation still fail at adoption.
This guide sets out the criteria that matter across both dimensions, the questions that surface the answers, and a weighted scorecard you can reuse.
📌 TL;DR
- Evaluate PLM vendors on product capability and implementation risk, not on feature counts alone.
- Define your business objectives, product complexity, and existing stack before comparing any vendors.
- Integration depth with CAD and ERP is the criterion that most often determines adoption.
- Total cost of ownership includes implementation, migration, training, and internal resource time.
- Shortlist three to five vendors, then score them against weighted criteria rather than impressions.
What to define before you compare vendors
Vendors will happily structure your evaluation for you, and the structure will favor whichever platform they sell. Establishing your own criteria first is what keeps the process yours.
Your business objectives
Identify the two or three outcomes the PLM has to deliver. Faster engineering change cycles, elimination of version conflicts, audit readiness, support for a certification you don't yet hold. Concrete objectives determine which criteria carry weight, and a vendor who excels on criteria that don't serve your objectives is not a good fit regardless of how the demo goes.
Your product complexity
A single-level product with stable configurations needs a fundamentally different platform from one with hundreds of components, multiple configurations, and weekly design changes. Over-specifying is as costly as under-specifying: you pay for depth you never use and impose complexity your team works around.
Your existing technology stack
List the CAD tools your engineers use, the ERP you run, and any MES or QMS in place. This does not determine your choice, since modern platforms integrate broadly, but it tells you where integration work will be needed and what it will cost in time and budget.
Your resources
Often overlooked when launching a PLM project. Your resources might define the software type you need: on-premise or cloud. If you have a dedicated IT team that might take care of the software deployment and later support, you can technically opt for an on-premise solution. If your resources are limited, cloud is the best option as it requires minimum involvement from your teams.
Your growth plans
A platform that suits your current 20 users and one site should handle 200 users and three sites without a migration project. Ask where you expect to be in three years and evaluate against that, not just against today.
Who needs to be involved
Engineering, methods, quality, production, procurement, and IT all touch product data. A selection run by engineering alone produces a platform engineering likes and nobody else uses. Involve the functions that will live with the decision.
PLM product selection criteria
Functional fit
Establish the scope you actually need before comparing anything. PDM and document control are the baseline. Beyond that, decide whether you need quality management, project and NPI tracking, or manufacturing instruction governance, and treat anything outside that list as a nice-to-have rather than a requirement.
Data management
The foundation everything else sits on. Check which data types the platform handles natively, whether it can link products, items and documents to each other, and how version control works across all of them.
Visualization matters more than it sounds. If people need a CAD license just to look at a drawing, adoption stays limited to the engineering teams, and the PLM never becomes the single source of truth it was meant to be.
BOM management
Multi-level EBOM and MBOM as distinct but linked structures, not two exports of the same list. Check that you can compare BOM versions, retrieve parts from a BOM, and see the impact of a change across every BOM that uses a component.
Configuration management
For manufacturers with product variants, this is the criterion that has most weight. Look for configurable BOMs driven by option rules rather than one manually maintained BOM per variant, and for as-built records that let you identify what actually shipped years later.
Change control belongs here too. ECR and ECO circuits with impact analysis mean a proposed change identifies everything it affects before approval rather than after release.
Workflows
How processes are represented in the platform, what traceability they produce, and who owns them. The question that separates platforms here is whether you can build and modify workflows yourself, or whether you adapt to pre-built models and every change means a request to the vendor.
CAD integration
Look for vendor-maintained native connectors for every CAD tool you use, and multi-CAD support if you run more than one or expect to. Enterprise PLM platforms typically connect only to CAD from their own environment, so anything else becomes a workaround with no guaranteed sync. Pre-built connectors save both time and money during deployment.
Ask specifically about large assemblies: whether they are supported, and how long one takes to open. Performance degrades in ways that only surface at scale, which is after you have committed.
ERP integration
The same question as for CAD: whether a connector already exists or has to be built. Either way, establish who maintains it and what happens at upgrade, and whether the sync runs one way or both.
Aletiq integrates natively with the major ERPs, including SAP, Oracle, Infor, Sage, Cegid, Divalto, Odoo, Dynamics 365 and Helios, with connectors built and maintained in-house rather than by partners. For a closer look at how PLM and ERP integration works, see our guide.
Data migration
Often the most painful part of a PLM project for clients. During the evaluation, establish the strategy with each vendor: who prepares the data, who executes the load, and what tooling they have for it.
At Aletiq, around 90% of clients arrive with data quality issues that need resolving first, so we support them through preparation and then handle the migration ourselves. Our internally developed tools map fields automatically and move large data volumes overnight.
Configurability
Check whether you can adjust the data model, workflows, fields and access rights yourself, or whether each change is a support ticket and a quote.
Usability and adoption
A PLM used only by engineering is a CAD vault. Assess whether someone without a CAD license can still open a CAD file and find what they need, who delivers training and in what format, and ask every vendor for their average adoption rate across clients.
Ask this one even if you expect a vague answer. Vendors who track adoption treat it as part of their job. Vendors who have never measured it are telling you it is your problem after go-live.
Security and compliance
Two sides to the same coin: how secure the platform itself is, and how well it helps you stay compliant.
On security, ask for specifics rather than assurances. Role-based access, encryption at rest and in transit, audit logs, data residency, and which certifications the vendor holds. ISO 27001 is the baseline.
On compliance, ask what applies to your sector and how the platform supports it, whether that is AS9100 and EN 9100 in aerospace, FDA requirements in medical devices, or ISO 9001 more broadly. The useful question is what the platform does for an audit, not whether the vendor says it is compliant.
Architecture and deployment model
Cloud-native SaaS deploys in weeks with automatic updates and no infrastructure. Hosted platforms run on cloud servers but keep the maintenance burden of their on-premise origins. On-premise gives maximum control at the cost of IT resources and longer timelines.
For most mid-market manufacturers cloud is the practical answer. Our cloud PLM comparison covers the distinction in detail.
Vendor and implementation risk criteria
Industry expertise
A vendor with aerospace references understands AS9100 traceability requirements. One without them will learn on your project. Ask for clients in your sector, at comparable scale, and with the same regulatory obligations.
Scale matters as much as sector. A vendor whose references are all 2,000-person groups has not solved the mid-market deployment problem, and the reverse is equally true.
Implementation ownership
A PLM can be deployed by the vendor directly or through an integrator. Direct deployment is the better option in most cases, because the people configuring the platform are the people who built it. If something needs adjusting or a problem needs fixing, there is no intermediary in the way.
Integrators can be practical, and sometimes cheaper, when a vendor has no in-house team in your country. The trade-off is response time. When something goes wrong, the integrator often cannot resolve it alone and has to go back to the vendor, which turns a short fix into a long one.
Customer Support
Ask what support includes at your subscription tier, what response times are committed, whether you get a named contact, and what falls outside the contract and gets billed.
The useful question is not whether support exists but what happens after onboarding ends and the people who ran the project have moved on.
As a benchmark for what to ask about, Aletiq's customer satisfaction score is 95.7%. Ask every vendor for theirs.
Product roadmap and vendor stability
You are buying into a platform's future as much as its present. Ask how often it ships, how customer requests reach the roadmap, and whether feature requests are ever built at no cost.
Vendor stability matters too. Ownership changes, acquisitions, and funding shifts all affect roadmap independence, and the PLM market has seen several in recent years.
Total cost of ownership
Purchase price is the smallest component. TCO over three to five years includes licensing or subscription, implementation services, data migration, integration development, training, ongoing support, and internal resource time, which is the line most often omitted and frequently the largest.
Ask every shortlisted vendor for a three-year TCO estimate covering all of it. The gap between vendors on TCO is usually wider than the gap on license price, and it moves in the opposite direction: platforms with lower list prices often carry higher implementation and maintenance costs. Our PLM ROI guide covers how to model this.
Questions to ask every PLM vendor
Ask all shortlisted vendors the same questions and compare the answers side by side.
- Which of your reference clients are in our industry, at our scale, with our regulatory requirements? Can we speak to one?
- Who runs the implementation, and what specifically does your team own versus ours?
- How long from contract to a team working productively in the system, based on comparable deployments?
- Which CAD and ERP connectors are native, who built them, and who maintains them at upgrade?
- What can we configure ourselves without contacting you?
- What does a three-year total cost of ownership look like, including implementation, product releases pricing, migration, training, and support?
- How do customer feature requests reach the roadmap?
- What happens to our data if we leave?
That last one is uncomfortable to ask and revealing to hear answered.
How to build a PLM vendor scorecard
Scorecards is not a usual practice when choosing a PLM, but if you decide to make one, it might make a decision defensible and help you in your selection. But it cannot be is universal. A manufacturer with 500 product variants and one CAD tool should weight the criteria completely differently from one with three CAD tools and a stable catalog.
So build your own. Four steps.
1. Start from your objectives, not from the criteria list
Go back to the two or three outcomes you defined before you started comparing vendors. Faster change cycles, audit readiness, eliminating version conflicts. Then go through the criteria and ask which ones actually serve those outcomes.
Criteria that serve an objective get weight. Criteria that serve none get a low weight. A platform with exceptional configuration management is not worth paying for if you build one product.
2. Separate the deal-breakers from the scored criteria
Some criteria are pass or fail rather than one to five. If you run CATIA and a platform has no CATIA connector, no score on any other dimension rescues it. The same goes for a certification you must hold or a data residency requirement you cannot waive.
Identify those first and use them to shortlist. Then score only what remains, on criteria where vendors genuinely differ.
3. Weight by what costs you most when it goes wrong
The useful question for each criterion is what happens if you get it wrong.
A weak CAD integration means engineers work around the platform, which costs you the project. Weak roadmap transparency means an uncomfortable conversation in year three. Both matter, but not equally, and the difference is what your weights should reflect.
This is also why implementation and adoption criteria deserve more weight than most evaluations give them. A platform nobody uses scores zero on everything, whatever the functional evaluation said.
4. Agree the weights before you see any scores
If you set weights after the demos, they drift toward whoever demoed best. Fix them while the discussion is still abstract, write them down, and do not revisit them mid-evaluation.
Then score independently before discussing, so the loudest voice in the room does not set the anchor for everyone else.
Conclusion
The best PLM vendor is the one that fits your processes, integrates with your existing tools, and can be deployed by a team that has done it before in your industry. That is rarely the vendor with the longest feature list.
Define your criteria before vendors define them for you, weight implementation risk as heavily as product capability, compare total cost of ownership rather than license price, and speak to references who run your ERP in your sector. A structured evaluation takes longer at the front end and removes most of the risk from everything that follows.
Book a demo to see how Aletiq performs against these criteria, with a demo configured around your use case rather than a generic product tour.
For a comparison of specific platforms, see our guide to the best PLM software for manufacturing.
FAQ
What are the most important PLM vendor selection criteria?
Functional fit, CAD and ERP integration depth, configurability, usability across non-engineering teams, industry expertise, implementation methodology, and total cost of ownership. Integration depth and implementation methodology are the two that most often determine whether a project succeeds, and both are commonly under-weighted.
How should companies compare PLM vendors?
Define your business objectives and criteria first, then score each shortlisted vendor against weighted criteria rather than comparing feature lists. Ask every vendor the same questions, request references in your sector and at your scale, and compare three-year total cost of ownership rather than license price.
How many PLM vendors should be evaluated?
Three to five for detailed evaluation, including demos, workshops, and reference calls. Fewer gives you no real basis for comparison. More and the process stalls before a decision is reached.
Why does implementation experience matter in vendor selection?
A vendor who has deployed in your industry, at your scale, with similar data types knows where projects go wrong and has a method for avoiding it. One who hasn't will learn on your project, at your cost. Ask who runs the deployment, what the vendor owns, and what falls to your team.
Should cloud capability be part of the PLM evaluation?
Yes, and specifically whether the platform is genuinely cloud-native or a hosted version of an on-premise system. The two differ substantially in deployment time, maintenance burden, and total cost of ownership. Cloud-native platforms deploy in weeks; hosted enterprise platforms typically take months.
What is total cost of ownership for a PLM?
TCO covers licensing or subscription, implementation services, data migration, integration development, training, ongoing support, and internal resource time, measured over three to five years. Internal time is the component most often omitted and frequently the largest. Ask every vendor for a full estimate rather than an annual subscription figure.
