• IoT has transformed pharmaceutical airfreight from periodic monitoring to continuous visibility, but the surge in data streams is exposing a structural weakness: the industry lacks a unified framework to interpret and act on that data effectively.
• Operational value is increasingly defined by context, not volume. Without integration, standardisation and fit-for-purpose data sharing, multiple trackers and platforms risk creating confusion, delaying decisions and undermining trust across the supply chain.
• The next phase of value creation will hinge on collaboration rather than additional technology—shared data ecosystems, aligned standards and clear governance models are emerging as the critical levers for efficiency, cost optimisation and product integrity.
IoT has transformed pharmaceutical airfreight from periodic monitoring to continuous visibility, but the surge in data streams is exposing a structural weakness: the industry lacks a unified framework to interpret and act on that data effectively.
Operational value is increasingly defined by context, not volume. Without integration, standardisation and fit-for-purpose data sharing, multiple trackers and platforms risk creating confusion, delaying decisions and undermining trust across the supply chain.
The next phase of value creation will hinge on collaboration rather than additional technology—shared data ecosystems, aligned standards and clear governance models are emerging as the critical levers for efficiency, cost optimisation and product integrity.
The pharmaceutical airfreight sector has entered a decisive phase in its digital evolution. IoT-enabled monitoring has moved from pilot to operational baseline, offering real-time visibility across temperature, humidity, location and shock. For an industry built on compliance and risk mitigation, this represents a structural shift—from episodic control points to continuous oversight. The promise is clear: fewer excursions, faster interventions, and stronger product integrity across increasingly complex global lanes.
Yet the same infrastructure is generating a parallel challenge. Data proliferation is outpacing the industry’s ability to harmonise and interpret it. Multiple stakeholders—shippers, airlines, forwarders—operate parallel tracking ecosystems, often without interoperability. The result is not a single version of truth, but overlapping datasets that require reconciliation rather than action, introducing latency into decision-making at precisely the moment real-time responsiveness is most critical.
“Pharma is not short on data, but it is short on context. You can see a temperature excursion, but without routing, ambient conditions, and milestones, the data alone tells you very little. Bringing those elements together in a single platform is what turns visibility into something operationally useful,” Jeffrey Lander, Director of Global Logistics Engineering at Moderna, said.
The operational trade-off
Operationally, IoT has expanded the aperture of what supply chain stakeholders can observe. Airlines now track conditions across aircraft holds and ground handling interfaces, while forwarders monitor lane performance with unprecedented granularity. This transparency is exposing inefficiencies and variability that were previously obscured, enabling targeted improvements in routing, handling and packaging.
However, this expanded visibility introduces system-level complexity. Managing devices, ensuring correct placement, aligning datasets, and maintaining calibration standards across thousands of shipments adds a new operational layer. The burden is not in capturing data, but in structuring it into actionable intelligence. Without robust integration frameworks, organisations risk shifting from information scarcity to analytical overload.
“Greater visibility shows more truth, and with that come more questions. You start asking why something happened, not just what happened, and that’s where the value lies. But building the systems that connect all that data is where the real complexity sits,” Cyril Winkler, Global Air Logistics Healthcare Product Lead at Kuehne+Nagel, explained.
The question of data ownership and trust
As data volumes grow, so too does the strategic question of ownership. Shippers increasingly seek control over their datasets, integrating inputs from carriers, devices and logistics partners into proprietary platforms. Airlines, meanwhile, generate critical milestone data within their operational domains and are equally incentivised to retain and leverage it. This creates a fragmented data governance landscape, where control is distributed rather than centralised.
Trust becomes the critical currency in this environment. When multiple validated sources produce overlapping datasets, the issue is less about accuracy and more about alignment. Discrepancies in interpretation—or even in sensor placement—can erode confidence. Establishing shared standards and interoperable systems is therefore not a technical exercise alone, but a commercial and relational one.
“We need collaboration, but we also need ownership of what happens within our operations. The data we generate in our warehouses and aircraft allows us to optimise performance, and that benefits the entire chain. Sharing that data in a structured way is where the opportunity lies,” Joël Wobma, Global Head of Pharmaceutical Logistics at Air France KLM Martinair Cargo, outlined.
From data abundance to decision precision
The next phase of IoT maturity hinges on converting data into decisions. More trackers do not inherently equate to better control; in fact, redundancy can dilute clarity. The concept of ‘fit-for-purpose’ data is emerging as a guiding principle—ensuring that each stakeholder receives only the level of detail required for their role, from binary go/no-go indicators at the pharmacy level to full datasets within quality and logistics teams.
This segmentation is critical in avoiding operational friction downstream. Overexposure to raw data can trigger false alarms, unnecessary quarantines, or misinterpretation by non-specialist users. Precision, not volume, defines value. The ability to contextualise and filter data streams will increasingly differentiate leading supply chains from those still navigating digital noise.
The real enabler of value
Despite rapid technological advancement, the industry’s consensus is converging on a simple truth: technology alone does not deliver transformation. APIs, platform-agnostic systems, and shared data environments are beginning to reduce fragmentation, but adoption remains uneven. Commercial hesitations, legacy systems, and differing operational models continue to slow alignment.
Where collaboration has been implemented—through shared platforms or joint data initiatives—the benefits are tangible. Reduced duplication of trackers, aligned datasets, and improved trust between partners translate directly into cost savings and service improvements. The shift required is cultural as much as technical, moving from proprietary control to ecosystem optimisation.
“We don’t gain visibility by adding more loggers. We gain it by sharing insights and working from the same data. Collaboration builds trust, and that trust is what ultimately allows the supply chain to improve,” Cyril Winkler, Global Air Logistics Healthcare Product Lead at Kuehne+Nagel, added.
Standardisation and strategic alignment
Looking forward, the trajectory is clear but not guaranteed. Standardisation—of data formats, interfaces, and measurement protocols—will be essential in reducing friction. Equally, cost dynamics around connectivity technologies such as 4G, 5G and LPWAN must continue to improve to enable broader deployment at scale. Without these developments, IoT risks remaining unevenly applied across lanes and stakeholders.
More fundamentally, the industry must align on purpose. IoT should not be deployed as a technological overlay, but as a strategic tool tied to defined outcomes—product integrity, cost efficiency, and service reliability. Those that succeed will be the organisations that integrate data into decision architectures, not just dashboards, and that view collaboration not as a concession, but as a competitive advantage.
“We have better control through transparency, which allows us to take action. But the real challenge is acting at the right moment in time. That’s still a key complexity in the industry, including for us, in actually being able to respond to the data. As mentioned, you can have all the data, but it needs to be contextualised and supported by the right infrastructure. On top of that, you need people who can intervene in the process when required. That human element is still critical across the supply chain to ensure effective on-the-ground intervention and maintain product integrity,” Joël Wobma, Global Head of Pharmaceutical Logistics at Air France KLM Martinair Cargo, outlined.
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