AI is reshaping jobs and opportunities in air cargo operations

By Ayesha Rashid

“From my point of view, I would recommend pursuing degrees in computer science, data science, or related fields. A competitive advantage would be specialized courses or certifications regarding machine learning and AI applications in logistics. AI technology is something that is constantly and rapidly changing. It is like other technical aspects: you must keep up with it and continue to learn, for example, through workshops and conferences. That’s essential.” – Martin Bernemann, Chief Technical Officer, BlueBox Systems

As Artificial Intelligence (AI) takes flight in the air cargo industry, its applications extend far beyond enhancing operational efficiency and streamlining logistics.
From autonomous drones managing last-mile deliveries to predictive analytics optimizing supply chain routes, the integration of AI is redefining traditional job roles and creating new opportunities for professionals in this ever-evolving field.
Martin Bernemann, Chief Technical Officer, BlueBox Systems talked to Air Cargo Update about the multifaceted impact of AI on jobs in the air cargo industry, examining both the challenges and the promising prospects it brings,
From the cockpit to the warehouse floor, the synergy between human expertise and artificial intelligence is shaping the future of air cargo operations, and understanding this dynamic interplay is key to navigating the evolving employment landscape in this vital sector.

Current AI Applications
Currently, AI plays a pivotal role in predictive maintenance, ensuring that aircraft and cargo-handling equipment operate at peak performance, minimizing downtime and optimizing maintenance schedules.
Route optimization and dynamic pricing strategies leverage AI algorithms to navigate the complexities of global supply chains, maximizing efficiency and cost-effectiveness in the process. The utilization of data optimization further streamlines logistics, providing real-time insights that empower decision-makers in this fast-paced industry.
New research from a variety of sources including Goldman Sachs, Open Philanthropy, Andressen Horowitz, and OpenAI, all point to potential major growth in national and world gross domestic product (GDP).
For instance, Goldman Sachs forecasts a $7 trillion increase in annual global GDP over a decade due to the adoption of AI.
However, research conducted by the Massachusetts Institute of Technology suggests that the adoption of AI and its contribution to the world’s GDP could be between 30 and 50 years away.
Martin Bernemann, Chief Technical Officer, BlueBox Systems, said, “AI is currently used in the air cargo industry in different ways. Present applications include predictive maintenance, for example, as well as route optimization, data optimization and dynamic pricing.
“In the future, more opportunities will emerge, such as advanced predictive analytics for demand forecasting and autonomous, AI-driven vehicles that will take over cargo handling. I am also sure that enhanced security through AI-powered surveillance and threat detection systems will be a common standard”.
Here are the top 4 areas in the air cargo industry, where AI is being leveraged:

Warehouse and Inventory Management
Using advanced algorithms and machine learning, AI systems can accurately track and manage inventory levels, optimize storage space, and streamline the movement of goods within the facility. By automating these tasks, air cargo companies can significantly reduce human error and improve overall efficiency.

Predictive Analytics for Demand Forecasting
By analyzing historical data, AI algorithms can identify patterns and trends that heavily influence future demand for air cargo services. This enables companies to adjust their operations proactively, ensuring they have the necessary resources and capacity to meet customer needs while minimizing excess inventory and costs.

AI-Enhanced Security and Safety Measures
AI-powered systems can identify potential risks and anomalies in real time, helping to prevent security breaches and unauthorized access to cargo. Additionally, AI technology is being used to improve the screening process for dangerous goods, ensuring compliance with stringent safety regulations.

Customs Clearance and Documentation
By automating tedious paperwork and compliance checks, AI systems can expedite the clearance process, reducing delays and improving overall efficiency. Furthermore, AI helps to ensure accuracy in documentation, minimizing the risk of errors or discrepancies that could lead to regulatory issues.
Shift in AI Skillsets
The introduction of AI in the air cargo industry will necessitate a shift in the skill sets required in the workforce.
Employees will need to adapt to working alongside AI systems and develop new proficiencies to remain competitive in the evolving job market.
This means that continuous upskilling and training programs will be essential to prepare the workforce for the AI-enabled workplace.
Training in data analysis, machine learning, and AI system management will become increasingly crucial.
Companies will need to invest in providing opportunities for their employees to upskill and gain expertise in these areas to ensure that they can effectively work with AI technologies. Embracing the upskilling and training of the workforce will be imperative for the successful integration of AI in the air cargo industry.
To meet the demands of this dynamic sector, air cargo companies are on the lookout for skilled professionals who possess a unique blend of expertise.
Harnessing the power of machine learning stands out as a cornerstone skill. Prospective candidates are expected to demonstrate proficiency in machine learning techniques, algorithms, and frameworks, showcasing their capability to apply AI solutions to intricate challenges unique to the air cargo domain.
A solid foundation in programming languages such as Python or R is equally essential, as these languages form the bedrock for developing and implementing cutting-edge AI solutions.
Moreover, expertise in data analysis is a key prerequisite for professionals aiming to make a mark in AI within air cargo companies. The skill to extract meaningful insights from vast datasets and navigate diverse data sources is crucial for addressing the nuanced complexities of air cargo operations.
Statistical modelling further enhances a candidate’s profile, emphasizing their ability to derive actionable conclusions from data and design models tailored to the specific needs of the industry.
“When looking for employees with AI-related skills, there are multiple qualifications that are important: ability in machine learning, data analysis, and programming languages such as Python or R, statistical modelling, and their ability to effectively translate complex business challenges into actionable AI solutions. Degrees in computer science or data science are valuable, to name two examples. When working with AI, employees should also have practical experience and skills that allow them to solve problems. Also important are strong communication skills. This makes collaboration with cross-functional teams much easier,” Bernemann explains.

Recommended AI learning
Think of AI technology as a dynamic force, always evolving and transforming, much like the changing landscapes visible from an aircraft window.
Staying relevant isn’t just recommended; it’s the key to unlocking the doors of opportunity. Just as a pilot constantly refines their skills, the same applies to navigating the ever-changing world of AI in the air cargo industry.
As technology continues to evolve, AI is poised to play a critical role in driving innovation and transformation across the sector. This includes advancements in autonomous cargo handling, the development of intelligent air traffic management systems, and the implementation of predictive analytics to optimize supply chain operations. Furthermore, AI has the potential to enhance safety and security measures by detecting and mitigating potential risks in real-time, ultimately improving overall operational efficiency and customer satisfaction.
“From my point of view, I would recommend pursuing degrees in computer science, data science, or related fields. A competitive advantage would be specialized courses or certifications regarding machine learning and AI applications in logistics. AI technology is something that is constantly and rapidly changing. It is like other technical aspects: you must keep up with it and continue to learn, for example, through workshops and conferences. That’s essential.
“For me personally, online courses, regular workshops and attending industry conferences that deal with AI are a good way to ensure ongoing training. Collaborations with educational institutions are also a very good option because it is fostering a culture of innovation and keep employees updated about the latest AI developments.”

Primary recruiting challenges
As AI continues to evolve and take on more complex tasks, it will undoubtedly impact the nature of jobs, the skills required, and the overall workforce structure within the industry.
One of the most significant implications of AI in the air cargo industry is the potential for job displacement and creation.
The automation of certain tasks through AI could lead to the elimination of some traditional roles within the sector.
For example, routine manual labor positions may become obsolete as AI-enabled systems and robots are deployed to handle repetitive tasks more efficiently.
However, it’s important to note that with the integration of AI, new job opportunities will also emerge. AI will create the need for roles such as AI system operators, maintenance technicians, data analysts, and AI ethicists, among others.
Additionally, there will likely be an increased demand for individuals with expertise in AI and technology to develop and manage these systems.
“One of the biggest challenges is that there are not enough specialized professionals and the demand for those professionals is high. At BlueBox Systems, we offer competitive compensation, a stimulating work environment, and a commitment to professional growth. We are also proud of working closely together with academic institutions and mentorship programs to ensure that talented people receive excellent training,” Bernemann said.
He continues, “Predictive maintenance is a good example. AI algorithms can predict equipment failures and thus reduce downtime. AI applications also have transformed air cargo operations in terms of dynamic pricing because AI-driven pricing models adapt to market conditions. Another example is the impact on job roles. AI technologies necessitate upskilling for jobs in data analysis, AI development, and system maintenance.”

Ethical Considerations
Notwithstanding the potential benefits of implementing AI in the air cargo industry, several challenges and considerations need to be addressed.
One of the primary concerns is the ethical and legal implications of using AI technologies in this sector.
Data privacy and cybersecurity concerns also need to be carefully managed, and significant investment and infrastructure requirements must be met.
“This is a very complex, but also very exciting question. What many will think of first are data protection concerns. When dealing with sensitive cargo data, every customer requires robust solid data protection. Of course, companies always should be transparent to their customers and communicate when AI is used,” said Bernemann.
“Another important topic is to ensure, that AI communication is unbiased and fair. To solve these challenges, BlueBox Systems addresses these topics by incorporating ethical AI principles into its developments. We also engage in open dialogues on ethical considerations regarding AI,” he added.
According to Bernemann, Air cargo companies need to invest in robust cybersecurity measures to protect sensitive information and ensure the integrity and confidentiality of their data. This includes implementing encryption, access controls, and regular security audits to mitigate the risk of cyber threats and data breaches.

Job Displacement and Creation
The automation of certain tasks through AI could lead to the elimination of some traditional roles within the sector.
For example, routine manual labor positions may become obsolete as AI-enabled systems and robots are deployed to handle repetitive tasks more efficiently. However, it’s important to note that with the integration of AI, new job opportunities will also emerge.
AI will create the need for roles such as AI system operators, maintenance technicians, data analysts, and AI ethicists, among others. Additionally, there will likely be an increased demand for individuals with expertise in AI and technology to develop and manage these systems.
“AI will have a big impact on traditional jobs in the air cargo industry. The new technology will transform old role models by automating routine tasks, for example, allowing employees to work on higher-valued tasks. Companies will have to invest in reskilling programs to prepare their employees for this role-changing development. AI will also affect the collaboration with employees, for smooth adaptions it’ll be necessary to include decision-making processes,” said Bernemann.
“If someone wants to work in the field of cargo AI Jobs, I recommend a strong educational foundation. That includes degrees, and certifications in AI, data science or related fields. Practical experience is also needed: Gain hands-on experience through internships or projects! Networking is another factor, get to know professionals at industry events and expand your connections. And finally, stay curious and continue to learn about AI and its emerging technologies,” he concluded.