For most pharmaceutical companies, Transport is no longer a singular operation—it’s a chain of outsourced activities spanning freight forwarders, airlines, agents, depots, licenced facilities, last‑mile carriers, and specialist logistics providers. That reality creates a simple but increasingly urgent question: What does future transport oversight look like when the work is distributed, risks evolve quickly, and evidence of true performance and results often appear only after you “Go Live”?
The MHRA are clear in that they expect to see minimum GDP standards to be in place, but the pressures on the RP’s and quality teams are moving in an opposite, more complex direction: more requests, more lanes, more partners, more handovers, more restrictions, and more data to interpret—often with the same (or fewer) resources. Meanwhile, supply chain threats are also changing shape, from traditional diversion and falsification risks to the growing risk of impersonation of legitimate actors (WDA holders, Freight Forwarders etc) and the use of falsified documentation at scale. Oversight can’t just be “more audits”; it needs to be smarter, risk‑based, appropriate for future challenges but still operationally grounded.
Why transport oversight is changing
Some failures are obvious (a temperature excursion alarm, a damaged carton, a late or missed collection). Others are not: a subtle change of ownership gap, an undocumented handover, a Carrier using a sub‑contractor you didn’t approve, or a customs delay that forces storage in a potentially uncontrolled area. The less detectable a failure mode is, the more your oversight model must rely on prevention, clear accountability, and leading indicators—not just retrospective investigation.
So, a new starting point could be where Risk-Based and Outcome-based thinking can distinguish between foreseen and unforeseen risks—and, critically, how detectable they are. Commercial and contractual choices can create compliance blind spots for the RP. Hastily agreed, reasonably priced logistics options can appear commercially attractive, but can often introduce contradictions in expectations—particularly around who is truly controlling the transit, who selects and manages carriers and sub-contractors? and why they were selected, and what happens when something goes wrong before the product enters an intended network? Future oversight means being almost over-explicit about where responsibility starts and ends, and not assuming that an Agreement automatically translates into adequate control.
It also means “knowing your destination” in practice: Permits, Product Registration, Customs Clearance arrangements, and what will happen if a shipment is held? Written instructions need to be adapted so that they describe what to do, who to contact, and what evidence and records must be obtained for each step. Plus, where the supply chain includes multiple parties, it’s worth asking a basic set of questions: When does title change hands? Who owns the product at each point? and how is custody or ownership evidenced? Quality teams rarely control title transfer, but they can, with prompting and instructions from the RP, insist that points of handover within the transport routes, are defined, documented, and auditable.
Why GDP certificates aren’t enough
Logistics companies have recently been enquiring about attaining GDP Certification, partly through industry and regulatory awareness and partly because of pressure from their WDA-licenced, recently inspected, pharma clients. They are soon aware, though, that the requirements for attaining a regulatory body GDP Certificate, through a WDA, are not suitable, or even appropriate for their business model. They are, whilst heavy with impeccable intentions, not going to be directly approved by the authorised bodies and therefore do not receive an official GDP certificate or Wholesale Distribution Authorisation.
However, some logistics service providers, especially throughout Europe, seek external certification to demonstrate understanding and relative compliance to GDP expectations. In principle this can be helpful: it creates a common language and can make provider qualification more efficient. In practice, though, just as RPs are being encouraged by the MHRA to carry out more extensive qualification of organisations with actual GDP Certificates (accompanied by a WDA) and especially if the certificates are over 5 years old and now DO NOT Expire, these “Industry GDP Certificates” (without a WDA) need to be reviewed extremely carefully. They do not replace an audit, and the scope, depth, and independence of commercial certification audits can vary widely. Proceed with Caution
There is another uncomfortable truth here: the real performance of a logistics provider often becomes apparent only after operations and transportation of goods have started. Oversight therefore can’t stop at compiling documentation. GDP Certificates (Industry and Regulatory) can be one mitigating aspect into a risk assessment, but ongoing and future oversight relies on Continuous Evidence—that is, how a provider performs on your requirements, with your products, under real constraints and circumstances.
What “Good” looks like in practice
This needs to start with the basics done exceptionally well. Quality agreements should be more than a list of basepoints: they should define roles, include response expectations, deviation handling, subcontracting agreements, data sharing, and escalation processes. Surround yourself with partners working to the same standards you are.
A single overall risk assessment is a good start, but it rarely provides enough overall coverage. Consider separate, focused risk assessments for crucial activities—handover points, temperature-controlled storage, customs delays, security screening, route and/or lane changes, and the introduction of new subcontractors. This approach can also make it easier to identify which controls can be in place to assist detectability of the associated risks.
It’s also worth a re-think on the use of “Human Error” as a Root Cause in Deviations and CAPA’s. People make mistakes and will continue to so, but errors are usually enabled by conditions: unclear SOPs, insufficient training, workload and resource pressures, plus poor and ineffective communication. Future oversight will ask “Why was the process able to fail this way?” and then improve the process—rather than relying on individual vigilance alone.
Oversight and KPI monitoring
An audit should provide you with a useful and initial evidence-based viewpoint. The bigger, more instructive picture will be provided with the introduction of relevant Key Performance Indicators (KPI’s). Monitoring KPI’s should not require an over-burdening number of measurable points; just the appropriate few that are clearly and easily defined and can be routinely reviewed.
Practical examples may include on‑time performance, temperature excursion reports (and the time to detect), CAPA effectiveness and closing out of related actions, accurate and prompt documentation, incident reporting, and subcontracting compliance. These can also help shape a collaborative business culture – creating visibility and encourage standards beyond the regulatory minimum.
Security: diversion, falsification, and fraud
Supply chain risks remain—falsification, diversion (including theft), and tampering—but the techniques and practices are evolving. Quality systems should now account for detecting the impersonation of legitimate actors through website, email and telephone verification. The RP’s oversight must therefore include both hard security (physical controls, access management, tamper evidence) and soft security (process discipline, SOP review, verification, staff training, and a compliance-ready culture that means suspected falsification incidents are recognised and reported, and not missed, ignored or even hidden.
Where AI fits—and what governance must look like
There’s no denying it, AI is arriving at every part of our lives, and the indications are that Transportation will be front and centre of its use and further development. AI, we can assume, will help quality and logistics teams do more with less—hopefully in route assessment efficiency and ongoing monitoring. But AI isn’t magic: And won’t be. It is likely to require a lot of data, changes in training, and introduction and review of clear(er) boundaries. The undeniable need for human oversight and interaction – the RP and his/her quality team.
The MHRA expectations are quite straightforward: there are no objections to using AI, but you should clearly define its role, use, checks, and limitations within a QMS, and so, just as you as RP will need to, your logistics providers who are proudly stating their use of AI tools and programmes, are expected to prove appropriate governance and the review and validation of output.
Similarly, platforms that compile and aggregate subscribed provider information can be extremely useful for initial transport decision making, but they still require post- delivery critical review: What information is missing? What does success and failure look like in real-time operations? Future oversight will probably require the use of tools to accelerate and sharpen human judgement—not to replace it.
A practical definition of “future oversight” So, what does future transport oversight look like? It will be a shift from initial and maybe periodic reassurance to continuous oversight and control: Accountability will be at every step with specific and comprehensive written instructions to be clearly understood by humans and AI alike. Internal teams and external partners will be held to aligned and mutually accepted standards, with performance evidence gathered in real or near real-time. These challenges are coming up fast, and so could be the benefits that come with them.