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How to Use Analytics and Big Data to Transform Port Operations

The Impact of a Ground-Breaking Technology

By Chathuri NanayakkaaraPublished 11 months ago 3 min read
How to Use Analytics and Big Data to Transform Port Operations
Photo by Bernd 📷 Dittrich on Unsplash

Undoubtedly, ports are dynamic, complex environments which handle many containers each year, linking supply chains and assisting trade functions across the globe. On the other hand, they also encounter various challenges in the form of delays, congestion, safety, security, competition and impact on the environment. To surmount these issues and boost resilience, profitability and efficiency, port operators are increasingly turning to the capabilities of analytics and big data, as described below.

Understand the significance of big data 

Big data is the term used to refer to the extensive and varied collections of information produced by sources like cameras, sensors, GPS instruments, RFID tags, social media and IoT (Internet of Things) devices. Via this data, it is possible to obtain useful insights regarding the processes, behaviours and operations of ports as well as their stakeholders in the form of carriers, shippers, customs, terminal operators and regulators. Meanwhile, in order to understand this complex information, it is necessary for ports to have suitable platforms which can gather, store, assimilate, analyse and process it. 

Optimize operations 

Amongst the principal advantages of analytics and big data is the fact that they make it possible for ports to optimize productivity and operating efficiency. By making use of data-based algorithms and models, seaports may improve scheduling, planning and coordinating activities like berthing, unloading, loading, stacking, transhipment and so on. An example of a terminal operator at the Colombo Port in Sri Lanka that makes use of advanced container handling systems is South Asia Gateway Terminals. Features like a DGPS-enabled container position detection system and real-time tracking and reefer monitoring are key as well. Meanwhile, analytics and big data also make it possible to manage and monitor resources like labour, equipment and energy. 

Boost customer satisfaction 

A further benefit of these technologies is that they enable ports to enhance customer loyalty and satisfaction. By making use of data-driven feedback and insights, operators can assess and understand the preferences, needs and expectations of their customers, and tailor the offerings and services they provide accordingly. Analytics and big data also have the potential to enable port managers to enhance communication and cooperation with partners and customers such as carriers, shippers, logistics providers, freight forwarders, etc. 

Manage risks 

These advances also assist ports in mitigating the effects of possible uncertainties and risks. For instance, data-driven tools and techniques enable operators to identify, evaluate and prevent disruptions and threats that could impact their safety, security, operations and reputation. These technologies could additionally improve resilience and the readiness for unforeseen scenarios, such as emergencies like accidents, natural disasters, pandemics, cyber-attacks and other unfortunate incidents. Further, ports may employ anomaly detection to perceive abnormal or suspicious behaviours and activities like theft, smuggling and sabotage. 

Foster competitiveness and innovation

By using analytics and big data, ports may also enhance competitiveness and innovation. For example, by employing data-based creativity and insights, it is possible to develop novel and improved services, products and models which generate value for customers and other stakeholders. In this way, port operators could also differentiate their offerings from those of their rivals. Further, they could leverage data assets as well as other capabilities to cooperate and collaborate with other establishments in the logistics and maritime ecosystem like research institutes, startups, technology providers and regulators. 

Consider social responsibility and sustainability 

Finally, ports could use analytics and big data to further their social responsibility and sustainability goals. For instance, by making use of data-driven information and actions, operators can diminish their carbon footprint and impact on the environment, whilst also contributing socially and economically to the society and communities in which they function. They may additionally align the practices and strategies that they follow with international standards and goals concerning corporate citizenship and sustainable development.

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