• Aerion differentiates itself from traditional GSAs by combining sales, operational, technology, data, and consulting capabilities within a modular framework, allowing airlines to activate specific services as needed while focusing on profitability, network optimisation, and measurable value creation rather than volume alone.
• Technology and AI are embedded into day-to-day operations through the CargoTech ecosystem, with predictive analytics, dynamic pricing, capacity allocation, network optimisation, and real-time dashboards enabling adaptive decision-making, performance transparency, and exception management across commercial and operational functions.
• The organisational model balances central governance with local market autonomy, linking profitability-focused KPIs across all units, supporting volatile market responsiveness, and targeting high-value cargo verticals like pharmaceuticals and e-commerce, positioning Aerion as a coordinated profit engine rather than a conventional intermediary.

According to Thominet, this integrated approach differentiates think tank and services cross-seller Aerion from traditional General Sales and Service Agents. “We combine sales, technology, data, consulting and operational capabilities under one strategic framework,” Thominet says. “This allows us to address airline cargo performance in a holistic way rather than through isolated functions.”

Thominet notes that Aerion was built on nearly three decades of ecosystem development through organisations including ECS Group, Global GSA Group, CargoTech and a range of specialised subsidiaries. This foundation enables Aerion to consolidate capabilities that have historically been fragmented across the cargo value chain. “Our objective is not simply to sell cargo capacity,” he states. “We focus on designing profitability frameworks that align pricing strategy, customer mix, network priorities and operational control around measurable value creation.”

The company’s operating model is modular, allowing airlines to engage specific capabilities depending on their needs. Thominet explains that airlines can activate commercial, technology, operational and support services as targeted tools rather than adopting a single rigid structure. “This modular model allows airlines to transform their cargo performance without introducing unnecessary structural complexity,” he says. “Each capability can be deployed precisely where it delivers the greatest impact.” In this context, Aerion positions itself as a strategic orchestration layer rather than a conventional intermediary.

Technology plays a central role in this framework. Thominet explains that Aerion relies on the CargoTech ecosystem as an embedded decision platform rather than an external technology provider. Through partnerships with companies including Wiremind, CargoAi, Rotate, Aerios and the Cargo Digital Factory, Aerion integrates predictive analytics into commercial and operational decision-making processes. “Technology is integrated directly into the operational model,” he says. “It is not an add-on system but part of the decision engine that supports day-to-day management.”

Artificial intelligence is applied across several core functions, including pricing, capacity allocation and network optimisation. According to Thominet, these systems operate continuously rather than through periodic manual adjustments. “The objective is to ensure that commercial decisions evolve in line with market conditions,” he explains. “AI allows us to adapt pricing and allocation strategies dynamically as demand patterns change.” This approach aims to maintain competitiveness while protecting yield.

Shared digital dashboards are another key component of the model. These platforms provide airlines with real-time visibility into performance indicators and operational activities. “Reporting is no longer static,” Thominet says. “Dashboards allow both Aerion and airline partners to see the direct link between operational actions and commercial results.” This transparency supports faster decision-making and more effective coordination between commercial, operational and management teams.

He emphasises that all technology investments are evaluated based on their contribution to financial performance. “Every digital initiative must support improved yield or contribution,” Thominet explains. “Technology in itself is not the objective. Its role is to support strategic and commercial outcomes.”

Performance measurement within Aerion is therefore centred on profitability rather than volume. Thominet explains that the company uses a set of shared key performance indicators linking commercial yield, customer segmentation, network contribution and operational reliability. These indicators are integrated into a common governance framework that applies across all organisational entities. “We measure success primarily in terms of profit generation and sustainable performance,” he states.

Real-time dashboards again play an important role in performance management. By providing continuous performance monitoring, they replace traditional static reporting cycles. “All teams operate with a shared view of performance,” he explains. “This creates a common language across commercial, operational and compliance functions.” When deviations occur, analytical tools are used to identify underlying causes and implement targeted corrective actions.

The organisational structure supports both autonomy and accountability. Individual entities operate with operational independence but follow the same profitability metrics and governance principles. “This allows each unit to respond to its market while remaining aligned with the overall performance objectives,” Thominet says.

Thominet also notes that Aerion’s operational model was designed to function in volatile market conditions. Recent disruptions in global cargo markets demonstrated the limitations of purely transaction-based GSA models. In response, Aerion developed an approach that adjusts commercial, digital and operational levers simultaneously based on real-time market signals. “Volatility has become a structural feature of the air cargo industry,” he explains. “Our model is designed to adapt quickly to changing demand, capacity fluctuations and regulatory developments.”

Predictive analytics supports this adaptability by identifying potential market shifts in advance. “Rather than reacting after changes occur, we try to anticipate them through data analysis,” Thominet says. This allows Aerion to preserve yield levels while deploying resources more efficiently. Exception management is also integrated into operational decision loops, ensuring that regulatory or operational disruptions can be addressed without compromising performance continuity.

At the network level, Aerion combines central governance with strong local market expertise. Thominet explains that global performance frameworks establish consistent strategic direction across the organisation, while local teams retain the flexibility to respond to their specific markets. “Central targets and KPIs provide alignment,” he says, “but local teams remain responsible for adapting strategies to local demand patterns and customer relationships.”

Unified data platforms ensure that decisions across the global network are informed by the same information base. This reduces fragmentation and supports consistent performance management. “Transparency in data allows us to maintain global consistency while preserving local responsiveness,” he notes.

Looking ahead, he believes the air cargo sector will continue to evolve rapidly, driven by digitalisation, electronic documentation and the expansion of e-commerce logistics. Aerion is positioning itself to benefit from these developments by embedding artificial intelligence across its commercial control systems and expanding specialised cargo verticals. Initiatives such as Healthc’Air, Mail&More and TCE are designed to capture high-value traffic flows including pharmaceutical shipments and e-commerce logistics.

“The objective is always the same,” Thominet concludes. “We focus on converting data and operational intelligence into measurable financial performance for our airline partners.” Over the next several years, Aerion expects increasing integration between strategy, technology and operational capabilities. The company’s long-term ambition, according to Thominet, is to move beyond the traditional intermediary role and operate as a coordinated profit engine for airlines within the global air cargo ecosystem

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