WATCH THE FULL EXPERT DISCUSSION

DSCSA enforcement changed something that most teams didn’t expect: it didn’t just raise the compliance bar – it changed what “working software” actually means in daily operations.

Before enforcement, the goal was clear. Get live. Get compliant. Check the box.

But enforcement flipped the evaluation standard. Teams that hit the deadline and went live are now sitting with systems that technically work, and are quietly wondering if they’re working well enough.

This guide is for those teams.

What changed after DSCSA enforcement?

The shift is straightforward but easy to underestimate. Before enforcement, your serialization platform was evaluated on implementation: Could it get you compliant? Could you go live on time?

Under enforcement, the evaluation is operational: Can your team actually run day-to-day without it becoming a burden?

A system can pass the first test and fail the second.

The “new normal” under enforcement means exceptions aren’t hypothetical anymore.

Product with no data.
Data with no product.
Master data mismatches.
Damaged goods.
Sequencing errors.
Labeling non-compliance.

These aren’t edge cases. They’re Friday afternoon problems. The question is how hard your platform makes it to solve them.

How do you know if your serialization system is actually healthy?

This is the right question to start with before you consider switching anything. A lot of teams jump to “should we switch?” before they’ve clearly defined what healthy looks like. Here are the KPIs that actually matter for post-enforcement operational health:

  • fast evolving icon

    Exception Rate & Resolution Time

    Track how often exceptions occur and how long they take to close. If resolution requires escalation every time, that’s a platform problem, not a process one.

  • 24/7 INTERNATIONAL TECHNICAL SUPPORT

    Support Ticket Volume

    Count how many routine fixes – retransmissions, master data corrections, UID status changes – still require a vendor ticket. Those workflows should live in your team’s hands, not a support queue.

  • Group Insurance

    Headcount Per Incident

    When something breaks, note how many people it takes to fix it. Operations, IT, quality, and an outside consultant responding to one exception is a staffing cost hiding inside a software problem.

  • 01C6_Advantages_Icon_Presence_30_Countries_BT_52x52

    Throughput Disruption Frequency

    Measure how often data mismatches stall shipments or delay releases. Routine exceptions should never become downstream bottlenecks. If they do, the platform is creating business risk, not just IT noise.

What’s the difference between a normal hiccup and a systemic problem?
This is the harder diagnostic question, and the one most teams avoid asking clearly.
A normal hiccup is isolated.
One exception, one product, one partner. Your team catches it, resolves it, moves on. It doesn’t compound.

A systemic problem has a pattern.
The same exception type keeps recurring. Resolution always requires the same three people plus a vendor ticket. Every platform update triggers a validation fire drill. New compliance requirements feel like a negotiation with your software rather than a configuration change.
If your team has normalized chronic workarounds – manual steps that “everyone just knows to do” – that’s worth examining. Workarounds mean the platform isn’t doing its job. And normalized workarounds are the clearest sign that what feels like a Friday hiccup is actually a systemic scalability problem waiting to compound.

What did vendor selection criteria get wrong?
Most vendor decisions made three to five years ago were built around the wrong checklist.
Teams evaluated platforms on feature completeness, implementation speed, compliance coverage, and price. Those criteria were reasonable given the goal at the time. But under enforcement, the criteria that actually determine day-to-day operational quality are different:
01
Support model under real pressure. Every vendor looks good in a demo. The test is what happens when there’s a crisis. Does your vendor have a defined escalation path? Are response times contractually backed? Can your team reach a person who knows your setup, or does every emergency start with a ticket number?
02
User autonomy for common correction workflows. Can your team correct master data, retrigger files, and manage shipment events directly, or does every routine fix require a vendor touchpoint? Platforms that create support dependency for common tasks weren’t built for operational scale.
03
Data model flexibility. Proprietary data formats that don’t map cleanly to GS1 EPCIS standards make every change harder and every future migration more expensive. This looked like a technical footnote during selection. Under enforcement, it’s a cost driver.
04
Validation overhead per change. If improving or updating the platform immediately triggers a costly, time-consuming validation process, teams stop improving the platform. That’s how systems that were fine at go-live become liabilities twelve months later.
05
Predictable total cost of ownership. Support overages, consultant fees for tasks the vendor should handle, hidden upgrade costs, and validation burden tend to surface well after the contract is signed. The teams that are most dissatisfied post-enforcement are usually the ones where actual operating costs look nothing like the original proposal.

What are the real signs it’s time to walk away from your current vendor?
This is the question that matters most, and it deserves a straight answer.
Keep optimizing your current setup
• Exceptions are infrequent and your team can resolve them independently
• Support is responsive and proactive, not reactive
• Platform costs are predictable and in line with expectations
• Your team has direct control over common workflows without escalation
• You trust the platform to support the next phase of your compliance obligations
Start looking for a new partner
• You are technically compliant but operationally dependent
• Every platform update or change triggers a disproportionate validation and cost burden
• Exceptions keep recurring in the same patterns without resolution
• Your team has built workarounds that “everyone just knows” but nobody owns
• Throughput is regularly disrupted by data mismatches or labeling issues
• You don’t have a confident answer to: “Can this platform support us for the next five years?”
The key distinction is whether the pain you’re experiencing is a training or process issue, or whether it’s structural. Process problems respond to process fixes. Structural problems don’t.
If your answers to those five questions are pointing toward a change, VerifyBrand was built for exactly this moment.
See the migration framework

What are the hidden costs of switching that teams forget to budget?
If your assessment is pointing toward a vendor change, this is what teams consistently underestimate.
Data extraction and transformation. Your historical serialization data needs to come with you. If your current vendor uses proprietary formats, extraction and transformation into GS1-compliant EPCIS structure takes time and expertise. The cleaner your current data model, the faster this goes.
Validation. A migration isn’t just a technical cutover. It requires documented validation of the new system, partner endpoint testing, and sign-off from quality. Teams that don’t scope this upfront discover it mid-migration.
Partner coordination. Your trading partners, CMOs, and 3PLs all connect to your current platform. Each endpoint needs to be validated against the new one. This is manageable but requires a realistic timeline and coordination overhead.
Parallel run period. The safest migrations run both systems simultaneously for a period. That means temporary double overhead, but it eliminates the risk of a hard cutover with no fallback.
Internal bandwidth. Even with a fully managed migration, your team needs to own the process, validate the results, and sign off. Underestimating internal time commitment is one of the most common surprises.

What should a sustainable DSCSA platform look like for the next five years?
The non-negotiable checklist for a system built to last:
GS1 EPCIS-native architecture. Not a proprietary format with a translation layer – native support for the industry standard that DSCSA is built around. This is what makes interoperability predictable and future compliance requirements manageable.
User-controlled exception handling. Your team should be able to correct master data, retrigger files, create manual shipment events, manage UID status, and handle the full range of common exception scenarios without opening a ticket.
Transparent, predictable pricing. Fixed pricing with no serial number caps, no support overage fees, and no hidden validation costs. The total cost of ownership should be knowable at contract signature.
Responsive human support. Not a ticketing system – an assigned support model where someone knows your implementation and is reachable when things break, including outside business hours.
Upgrade control and validation support included. Platform improvements shouldn’t feel like a risk. Validation support should be part of the model, not an add-on.

Five questions to bring into your next internal meeting
Before any vendor conversation, start here:
01 When a DSCSA exception happens, how many people does it take to resolve it, and how long does it take?
02 How often does our team open vendor support tickets for things that should be self-service?
03 Are our current platform costs predictable or expanding?
04 If we had to migrate in the next six to twelve months, do we know what that path looks like?
05 Do we trust this platform to support daily operations and new compliance demands for the next five years?

The honest bottom line

DSCSA enforcement exposed the difference between platforms built to launch and platforms built to operate. Those are genuinely different things, and the gap shows up in exactly the places described above: exception handling, support dependency, validation overhead, data flexibility, and long-term confidence.

Not every team needs to switch. But teams that are normalizing chronic workarounds, absorbing avoidable disruption, and quietly dreading the next compliance update owe it to themselves to stop treating those problems as inevitable.

They’re not inevitable. They’re signs the platform may now be the risk.

Why choose VerifyBrand

Ready to assess your options?

OPTEL’s VerifyBrand is built specifically for post-enforcement operational reality: GS1 EPCIS-native architecture, user-controlled exception workflows, fixed pricing, migration completed in under four months on average, and full validation support included.

If your reassessment is pointing toward a vendor change, the Switch to VerifyBrand page covers the migration framework, the transition approach, and what moving safely actually looks like in practice.