
By Hariesh Manaadiar – Founder at Shipping and Freight Resource
The maritime industry has been integral to global trade for centuries, facilitating the movement of 80–90% of goods across the world’s oceans.
Since the 1990s, technological advancements have significantly transformed this industry, enhancing efficiency, security, and sustainability.
In this article, we explore the evolution of shipping technology from the 1990s to the present day, highlighting the challenges faced in sea freight, how technology is assisting, and the current challenges with the adoption of various technologies and standards.
The 1990s: Ushering in Technological Shifts
The 1990s is considered by many as the beginning of a technological shift in the sea freight industry.
Global Positioning System (GPS) one of the key technologies, became operational in the early 1990s, revolutionising navigation and tracking capabilities of ships across the world. GPS was able to provide precise, consistent, and reliable vessel positioning.
Automated Identification Systems (AIS) were also introduced around the same time, allowing vessels to continuously transmit their position, sailing speed, and course heading to shipowners, operators, other ships, and port authorities. AIS also helped with maritime safety, provided situational awareness, and avoided collisions.
These two technologies helped shipowners optimise their route plans and also identify issues relating to ship safety.
Today, the IMO has made the presence of voyage data recorders (VDRs) and automatic ship identification systems (AIS) on board ships mandatory under SOLAS (Safety of Life at Sea) regulations.
Vessel Traffic Services (VTS)
Vessel Traffic Services (VTS) systems were introduced to manage vessel traffic in congested areas, such as busy ports and waterways.
VTS systems provided real-time monitoring and communication with vessels, improving maritime safety and port efficiency. By coordinating vessel movements and providing timely information, VTS systems helped prevent accidents and optimise port operations.
As per the IMO, while Vessel Traffic Services were not specifically referred to in the International Convention for the Safety of Life at Sea (SOLAS) 1974, in June 1997, the Maritime Safety Committee adopted a new regulation to chapter V (Safety of Navigation), which set out when VTS can be implemented.
A revised SOLAS chapter V on “Safety of Navigation” was adopted in December 2000 and entered into force on 1 July 2002. (“Vessel Traffic Services – IMO”)
Technology in Shipping Documentation
Not just in navigation and ship operations, technology started permeating the industry in other activities relating to sea freight, like shipping documentation.
The creation of electronic data interchange (EDI), an electronic messaging system is seen as one of the forerunners that enabled the digitalisation of shipping documentation.
While it was created in the 1960s, the standardisation of EDI formats by UN/EDIFACT (United Nations Electronic Data Interchange for Administration, Commerce, and Transport) by the United Nations made EDI popular, more accessible, and widespread.
This standard helped develop a globally approved messaging structure for the exchange of information between various stakeholders.
With the rise of the internet in the 1990s, EDI became even more accessible and widespread and was credited with reducing errors, speeding up transactions, and increasing business productivity, making it a revolutionary technology of its time.
EDI allowed for the faster and more reliable exchange of information between shipping lines, ports, customs authorities, and other stakeholders. This shift significantly reduced the time and effort needed for documentation and helped minimise errors.
EDI is still being used by many organisations that are using legacy ERP systems and have not moved onto more modern offerings.
The Digital Transformation Begins
The late 1990s/early 2000s saw a more pronounced shift towards digital transformation, with advancements in connectivity playing a crucial role in modernising sea freight operations.
The rise in internet connectivity enabled and enhanced the development of online booking systems, which allowed shippers to book cargo space more efficiently.
Although online booking started in the early 2000s, it wasn’t until the mid to end 2010s that these systems developed the capability to send out instant and real-time booking confirmations, with Maersk being the first container line to start its instant booking confirmation in 2018.
The late 1990s/early 2000s also saw the beginning of what we now call digital or electronic documentation in shipping.
Whispers of a mysterious and hitherto unknown and unseen electronic bill of lading (eB/L) were heard around the world’s shipping corridors. The Bill Of Lading Electronic Registry Organisation (BOLERO) came into existence in the late 1990s and is currently the oldest working electronic bill of lading system.
Smart Technologies: IoT, Big Data, Blockchain, AI and ML
The 2010s saw the beginning of the integration of smart technologies, such as the Internet of Things (IoT), Big Data Analytics, Blockchain, and Artificial Intelligence (AI), into sea freight operations.
Internet of Things (IoT) and Smart Containers
IoT technology enables the real-time monitoring of cargo conditions, such as temperature, humidity, and location. Smart containers, equipped with IoT sensors, provide detailed information about the status and condition of the cargo throughout its journey.
This capability improves supply chain visibility and allows for proactive management of potential issues, such as temperature deviations in perishable goods, cargo theft, route deviations, door openings, etc.
IoT devices can send data on a real-time basis from anywhere there is cellular coverage, also covering any sudden shocks such as collisions, which could lead to cargo damage. This is especially useful in maritime disasters such as containers falling into the sea.
Big Data Analytics
Big data analytics has revolutionised the maritime industry by enabling companies to process and analyse vast amounts of data, optimising routes, predicting maintenance needs, and enhancing overall operational efficiency.
By leveraging data from various sources, maritime companies can make more informed decisions, resulting in significant cost savings and improved service levels.
Predictive analytics helps to identify patterns and trends, allowing for proactive maintenance and reduced downtime.
Before the rise of big data, organisations relied on traditional methods to analyse large datasets from sources like warehouses and distribution centers. Now, with big data, analysis has become easier by incorporating both conventional data and real-time or batch data from unconventional sources.
By analysing data from years of shipment tracking, companies can identify causes of vessel losses at sea, container losses, and other dispatch issues, such as damage to goods.
This information allows companies to predict and prevent costly problems, leading to more reliable cargo delivery options and a more resilient maritime industry.
Blockchain Technology
Blockchain technology, which first appeared in 2008 as a means of facilitating Bitcoin transactions, has since evolved into a disruptive force across many sectors, including energy and finance, and has gained traction in the maritime industry, promising enhanced operational efficiency, transparency, and security.
The maritime sector has been exploring several potential blockchain applications. Blockchain technology introduced the possibility of tamper-proof, transparent, and efficient transaction documentation and smart contracts.
Blockchain platforms can automate processes such as the electronic transfer of trade documents like bills of lading, invoices, packing lists, and enabling freight payments, customs clearance, and cargo tracking, reducing the risk of fraud and errors.
Blockchain also enhances traceability and accountability in the supply chain, addressing concerns about the authenticity of goods and documents.
Artificial Intelligence (AI) and Machine Learning
AI and Machine Learning are being used in the maritime industry for predictive analytics, enabling accurate predictions, optimizing operations, and enhancing decision-making.
AI and ML plays a crucial role in enhancing safety and risk management in maritime operations. By analysing data such as weather patterns, sea currents, and vessel performance, and navigational inputs, these technologies identify potential safety risks, improve route planning, fuel consumption, on-time delivery and possibly predict collisions, thereby improving overall maritime safety.
AI and ML contribute to environmental sustainability in the maritime industry. By combining and analysing multiple data sets, such as vessel and marine life movement patterns, these technologies monitor and mitigate the impact of maritime operations on the environment.
Other Technologies in the Industry
Autonomous Ships
Autonomous ships, equipped with advanced sensors, AI, and machine learning algorithms, are being tested and gradually introduced. These vessels promise to reduce human error, enhance safety, and lower operational costs by automating navigation, collision avoidance, and other critical functions.
While fully autonomous ships are still in the testing phase, semi-autonomous vessels are already being used in some areas, demonstrating the potential benefits of this technology.
Digital Twin Technology
Digital twin technology, which creates a virtual replica of a physical asset, allows for real-time monitoring and predictive maintenance of ships and port infrastructure.
This technology is revolutionising the way maritime operations are managed by simulating different scenarios, which can help operations, and predict potential issues before they occur, leading to more efficient and reliable maritime logistics.
Online Freight Platforms
Freight rate volatility is a major challenge in the sea freight industry, affecting shippers, carriers, and logistics providers. Technology has enabled more accurate monitoring and forecasting of freight rates, helping stakeholders make informed decisions.
With the advances in digitalisation and technological advancements in the shipping and freight industry, there are several freight benchmarking tools/platforms and freight indices available in the market.
“Freight benchmarking works on the back of contracted freight rate data made available to the freight benchmarking platforms/indices.” (“Freight benchmarking and its benefits”) A lot of big international businesses support and provide their freight data to these platforms/indices who then track these rates across all major trade routes/corridors.
Online platforms and digital marketplaces have emerged as solutions for the freight benchmarking challenges and became particularly useful and popular during the steep increase in freight rates during COVID-19.
Although this could not stem the rise in freight rates, these platforms provided real-time information on freight rates and market trends allowing shippers to compare rates and book cargo space.
Environmental Concerns
While not the biggest, sea freight shipping is still a contributor to greenhouse gas emissions, accounting for approximately 2-3% of global CO2 emissions.
There is growing pressure from governments, environmental organisations, and consumers for the industry to reduce its carbon footprint. Implementing sustainable practices and technologies, such as alternative fuels and energy-efficient vessels, is essential but challenging.
Companies must balance the need for environmental sustainability with economic considerations.
Thanks to technology and developments in digitalisation, there are several software available in the market today to benchmark and measure carbon emissions per ship, per container, and per shipment on various modes of transport.
Customers now have several options to verify and calculate carbon emissions for their shipments and choose the best option.
Cybersecurity and Workforce Adaptation
The increasing reliance on digital systems, however, also comes with distinct issues such as cybersecurity and workforce adaptation.
There are concerns from various quarters about cyber-attacks disrupting operations, causing financial losses, and compromising sensitive information. Companies need to ensure that they have robust cybersecurity and other contingency measures to protect maritime infrastructure and data.
Currently, the lack of standardised systems and protocols is hindering the seamless integration of modern technologies.
While many standards have been created for industry-wide ship operations, container track and trace, electronic trade documentation, etc., ensuring interoperability between different systems and platforms has become essential for maximising the benefits of technology adoption.
The introduction of modern technologies also requires a skilled workforce capable of managing and supporting these systems.
Training and upskilling the existing workforce, along with attracting new talent, is a significant challenge for the industry. Companies must invest in education and training programs to ensure that their employees have the necessary skills to adapt to the changing technological landscape.
Change management is a significant challenge, as there can be resistance from employees and stakeholders accustomed to traditional methods. Overcoming this resistance requires effective communication, training, and support.
Companies must invest in change management strategies to ensure a smooth transition to modern technologies.
Conclusion
The sea freight industry has undergone significant technological transformations since the 1990s, driven by advancements in navigation, documentation, smart technologies, and digital platforms.
These innovations have enhanced efficiency, safety, and sustainability in maritime operations. However, challenges such as cybersecurity, workforce adaptation, and standardisation remain.
Addressing these challenges and continuing to innovate will be crucial for the future of the sea freight industry, ensuring it remains resilient and competitive in an increasingly digital world.
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