The baggage innovation trends shaping the industry in 2026/2027

Baggage handling is entering a period of accelerated change as airports respond to rising passenger expectations, labour constraints and increasing system complexity. Unlike previous waves of incremental improvement, the next two years will require airports to transform within live operations, balancing modernisation with the need to maintain performance day-to-day.

While the sector has historically evolved at a measured pace, the next two years are expected to bring more visible transformation, driven by automation, data integration and shifting operational models.

Automation, mechanisation and robotics

One of the most consistent themes across the industry is the move towards automation, particularly in areas that have traditionally relied on manual labour.

For David Ciceo, CEO of Cluj International Airport, the message is clear. “The industry finds it challenging to recruit baggage handling agents, so we must implement automation to reduce our reliance on manpower but also make it more attractive for those working there,” he shares. “There are a lot of pilots regarding robots. That will be the most important aspect in the future.”

This shift is being driven not only by efficiency, but also by workforce challenges and health and safety considerations. Marc Brennan, Head of Baggage, Asset Management at daa, highlights the increasing influence of unions and occupational authorities who placing greater scrutiny on manual lifting, repetitive strain and long‑term injury risk associated with baggage operations: “Health and safety authorities are increasingly going to look at how many kilos of bags workers are lifting per day, per week, per year, and that is going to drive adoption.”

This regulatory pressure is accelerating investment in mechanical aids, robotic loading and unloading, and redesigned workstations that reduce physical stress. As a result, mechanisation is shifting from a discretionary investment to an operational requirement.

“Airports that invest in human‑centred mechanisation are likely to become the employers of choice in a competitive labour market,” Henk Brandsma, Schiphol Airport’s Strategic Process Developer for baggage handling told International Airport Review.

However, automation is not yet fully mature across all baggage processes and this creates a clear divide between near-term and longer-term automation. Robotics supporting manual handling and safety improvements are moving rapidly towards deployment, while fully automated processes remain in a pilot phase. The pace of adoption is also often constrained not by technology, but by fragmented responsibility across airports, airlines and ground handlers, making alignment of incentives a critical barrier to progress.

Despite this, intelligent sortation is already delivering tangible improvements. Mihai Patrascu, General Manager at Satu Mare Airport, highlights the impact of these systems: “Our baggage handling system can sort baggage to different airlines,” he explains. “If we have eight check-in counters with different destinations, the belt knows how to split those bags so they do not go into the same place.”

For many regional and mid-sized airports, this level of intelligence is not incremental, it represents a step change in operational control and reliability.

Human factors beyond labour shortages

While labour shortages remain a key driver of automation, human factors in baggage handling extend far beyond recruitment challenges. Airports are increasingly re‑examining how roles, responsibilities and skills evolve alongside new technology.

As automation, AI and advanced controls take on repetitive or physically demanding tasks, the role of the baggage workforce is shifting towards supervision, exception handling and system optimisation. This transition requires a different skill mix, with greater emphasis on situational awareness, digital literacy and cross‑stakeholder co-ordination.

In practice, this marks a shift from labour-intensive operations to system management environments, where performance depends as much on decision-making and visibility as it does on physical throughput.

Change management has therefore become a critical success factor. Airports that involve handlers, control room staff and operational teams early in the design and testing of new systems report smoother adoption and higher operational confidence. Training is no longer limited to equipment use, but extends to understanding system behaviour, data interpretation and decision‑making under pressure.

This evolution also reinforces a key dependency: automation does not remove the need for skilled people, it increases the need for the right skills in the right roles.

Resilience as a core design philosophy

Beyond efficiency gains, resilience is increasingly shaping how baggage systems are designed and operated. Rather than treating disruption as an exception, airports are beginning to assume variability as a constant. This marks a shift from optimising for peak performance to designing for consistent performance under stress.

This is reflected in a growing focus on redundancy, fallback capacity and operational transparency. Resilience is no longer defined solely by equipment uptime, but by how effectively baggage operations continue during peak demand, system degradation or live construction. In practice, this means designing with N+1 capacity, enabling partial operation during failures, and ensuring teams have real‑time visibility of system status.

Importantly, resilience is as much organisational as it is technical. Airports undertaking complex upgrades are placing greater emphasis on stakeholder alignment, contingency planning and decision‑making clarity before issues arise.

As systems become more interconnected and data-driven, resilience is emerging not as a secondary benefit, but as a primary design objective.

Data, AI and the push for end-to-end visibility

Alongside physical automation, digitalisation is a defining trend for 2026 and beyond. Airports are increasingly focused on data visibility, predictive analytics and system intelligence.

At the centre of this transformation is artificial intelligence (AI). While still in its early stages of deployment, its potential applications are wide ranging.

“AI is going to underpin all of our different changes,” says Brennan. “Whether it is reliability, passenger flow, data analytics, or screening and detection, it is going to be key.”

Jens Eisner, Head of Baggage Production and Operations at Copenhagen Airports, agrees: “Increased use of AI will allow us to identify problem bags, simulate peaks, automatically reset components and enable smarter utilisation of existing infrastructure,” he explains.

However, both emphasise that the industry is still at an exploratory stage.

“It has not really gotten off the ground enough yet,” Brennan notes. “We are still finding the right tools and understanding where the value is.”

Beyond AI, improving data integration across stakeholders is becoming a priority. One of the long-standing challenges in baggage handling is the fragmentation between airlines, ground handlers and airport operators.

“If the baggage is delayed, everybody blames the airport,” says Askin Demir, CEO of Blaise Diagne International Airport. “But the responsibility is between the handler and the airlines.”

This extends to passenger-facing transparency. Increasingly, travellers expect baggage tracking to match the standards set by the parcel delivery industry, by giants such as Amazon.

Technologies such as RFID and digital tagging are beginning to support this shift, although adoption remains uneven globally.

“There are a lot of people using baggage tags like Apple tags,” states Demir. “RFID is coming up more and more, but it is very difficult to have all airports ready for these technologies.”

ICS as a structural shift

One of the more fundamental changes underway in baggage handling is the growing adoption of individual carrier systems (ICS) like we are seeing in Aruba, Copenhagen and Kuala Lumpur airports. By assigning each bag to a dedicated tote or carrier, ICS transforms baggage from a bulk flow into a series of individually tracked entities.

This structural shift enables true bag‑level visibility across transport, screening, storage and make‑up. It also supports more precise flow control, as systems can dynamically manage priorities, reroute individual bags and balance loads across constrained infrastructure.

For airports operating within fixed footprints, ICS offers an opportunity to extract more capacity and predictability from existing assets. However, it also introduces new dependencies around system integration, data quality and operational discipline.

Importantly, ICS also acts as an enabler for other capabilities, including AI, resilience strategies and optimised early bag storage, linking multiple trends into a single architectural decision.

Early bag storage (EBS) as a strategic capacity lever

Early bag storage is evolving from a convenience feature into a strategic tool for managing peak demand. By decoupling bag acceptance from flight departure times, EBS allows airports to smooth system loads, reduce congestion during critical peaks and make more efficient use of downstream resources.

When integrated with predictive analytics and intelligent allocation, EBS enables a more just‑in‑time approach to baggage build‑up, as we are seeing in Kuala Lumpur and Aruba. Rather than opening make‑up positions early as a buffer against uncertainty, airports can rely on data‑driven forecasts to release bags in controlled sequences aligned with operational priorities.

This capability is particularly valuable in environments where physical expansion is limited. By shifting when, rather than where, bags are processed, EBS effectively unlocks latent capacity within existing systems.

As passenger volumes continue to rise, EBS is increasingly being assessed not as an optional add‑on, but as a core component of future‑proof baggage strategies.

Computer vision and baggage biometrics

Beyond traditional tag‑based identification, airports such as Vancouver and Paris Charles de Gaulle are beginning to explore computer vision and baggage biometrics as a complementary layer of resilience. Using cameras and machine learning, these systems identify bags based on visual characteristics such as shape, colour and texture, creating a unique digital fingerprint.

This approach addresses one of the persistent weak points in baggage handling: unreadable, damaged or missing tags. By recognising bags visually, systems can maintain tracking continuity even when conventional identification fails, improving reconciliation rates and reducing manual intervention.

While still at an early stage, this technology is best understood as a resilience layer, supporting tracking continuity when conventional identification fails.

As AI capabilities mature, biometric identification of baggage is likely to complement rather than replace RFID and traditional scanning technologies, particularly in complex transfer environments.

Infrastructure constraints and cost pressures

While innovation is accelerating, airports continue to face structural constraints that shape how quickly new technologies can be adopted.

One of the most significant is space. Unlike other parts of the airport, baggage systems operate within fixed physical footprints that are difficult to expand.

“The spatial constraints of airports make it a real challenge,” Brennan explains. “We have to spend much more time planning baggage projects because they are so complex and intricate.”

This is compounded by the growing importance of lifecycle cost considerations. Airports are no longer evaluating systems based solely on upfront investment.

“Total lifecycle cost has gone far beyond the initial investment,” Brennan says. “It is a huge concern for us.”

As a result, investment decisions are increasingly driven by long-term operability, maintainability and integration, not just upfront performance gains.

Global disparity

At the same time, global disparities in infrastructure and investment are shaping how trends are adopted across regions. In Africa, for example, many airports are still in a catch-up phase, balancing the need for modernisation with financial and operational realities.

“We are obliged to follow the development of the sector,” reveals Demir. “Customers today expect almost the same level of service everywhere they go, without thinking whether this is Africa or Europe.”

However, implementation timelines differ significantly.

“Upgrades will come in Europe first, and in our region later,” he adds. “But Africa is catching up very fast.”

This is likely to result in a widening gap between airports able to implement integrated, data-driven systems, and those progressing through incremental upgrades.

Operational complexity also continues to present challenges, particularly in areas such as regulatory compliance and passenger behaviour. Patrascu of Satu Mare highlights ongoing issues with baggage contents: “Liquids and food are still a problem as passengers try to take local food or liquids across borders, but regulations are different in each country, and that creates challenges.”

Takeaways

Looking ahead to 2026 and 2027, baggage handling is moving towards a more automated, data-driven and resilient operating model.

However, the most significant shift is not technological, but operational; from fragmented, labour-intensive processes to integrated systems managed through data, visibility and control.

For Heads of Baggage, the priority is increasingly clear:

• Invest in technologies that enhance control and predictability (such as ICS and EBS)
• Address workforce transformation alongside automation
• Prioritise integration and data quality as foundations for future capability.

Those that succeed will not necessarily be the most technologically advanced, but those that can implement change within live operations while maintaining performance.

This article came from our Baggage Innovation eReport. Click here to download the FREE eReport now. 

Baggage transformation is a topic that was explored in depth in International Airport Review’s ‘Scaling baggage innovation for operational resilience’ webinar which took place on 20 May, featuring speakers from Schiphol, Kuala Lumpur and Queen Beatrix International Airport in Aruba. To watch the webinar on-demand click here to register.

We will be continuing the discussion on baggage handling and transforming operations in a live business environment in-person at the International Airport Summit taking place in Rome on 11-12 November. To view the full agenda and register for your FREE ticket, head over to the official event website.

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