Jun 08, 2026
- A significant proportion of temperature-sensitive pharmaceutical shipments still face in-transit integrity risks, largely due to fragmented visibility systems, reliance on post-event data and inconsistent compliance tooling that prevents real-time intervention.
- SkyCell’s Pharma Monitoring platform is pushing a shift towards predictive, AI-enabled logistics control, combining live environmental tracking with embedded decision support to anticipate and mitigate deviations during transit rather than reacting after delivery.
- The system consolidates shipment visibility into a single digital environment, using hybrid IoT connectivity and unified data platforms aligned with global regulatory standards to deliver continuous traceability, reduced handling complexity and lower excursion rates.
Each year, around 20 percent of temperature-sensitive pharmaceuticals are compromised in transit. The main culprit? Gaps in visibility, reliance on post-event data, and fragmented compliance tools that offer little help in real time.
SkyCell’s Pharma Monitoring platform aims to shift that dynamic, moving the industry from reactive damage control to active prevention.
“Traditional systems rely on disposable data loggers that provide insights only after delivery, making it too late to prevent losses,” said Taner Chakar, Head of Product at SkyCell. “Shipments often include multiple devices with inconsistent data formats, requiring manual reconciliation and dangerous visibility gaps.”
The platform integrates real-time environmental tracking with predictive analytics, using operational and simulated data to identify developing risks mid-transit. AI-powered recommendations, based on pharma standard operating procedures, are embedded directly into communication tools like Microsoft Teams and Copilot, allowing for instant decisions across dispersed supply chain teams.
“This is where predictive analytics comes in,” Chakar explained. “Combining live visibility with intelligence allows pharma teams to anticipate and act on potential issues, enabling smarter decision-making, faster interventions, and ensuring medicines arrive safely.”
In practice, this means live monitoring of temperature, handling, and location is paired with decision-support tools that recommend compliant next steps , all accessible within the systems companies already use.
SkyCell’s platform processes millions of data points from over five million shipments annually. The results? A temperature excursion rate of under 0.05 percent, achieved by combining container design and AI-backed oversight. One of the key differentiators is SkyCell’s hybrid IoT logger, which replaces the industry norm of using three to five different loggers for a single shipment.
“With SkyCell’s hybrid solution, only one logger is needed to track the product all the way from manufacturing to the patient,” said Chakar. “That same logger handles both product release and track-and-trace.”
The system uses LoRa for milestone tracking across a proprietary network spanning 250+ airports. Where LoRa coverage drops, a cellular-enabled gateway steps in, creating a continuous, infrastructure-free stream of validated data.
All monitoring feeds into a single digital platform, SkyMind, that aligns with GxP, IATA CEIV Pharma, 21 CFR Part 11, and other regulatory frameworks.
According to Chakar, this ensures audit-readiness while also reducing reliance on manual paperwork and local staff interpretation: “We ensure real-time access to environmental conditions, deviations, and handoffs, giving pharma companies uninterrupted traceability, full control, and confidence that their product is protected.”
The post AI-driven monitoring cuts losses in pharma air cargo appeared first on Air Cargo Week.
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Author: Anastasiya Simsek
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