Sea freighters can use graph technology to better navigate uncharted waters
By Nik Vora, Asia-Pacific vice president, Neo4j The supply chain crisis, globally and in the ASEAN region, is not limited to a single problem but includes a range of logistical and economic challenges. These challenges are diverse and constantly evolving, from transportation disruptions and trade restrictions to sustainability and cost pressures. Suppliers, as well as transport and logistics companies, have been affected. To overcome these challenges, supply chain organisations must be flexible, adaptable, and proactive. But the highly complex nature of supply chains and international transport networks has traditionally made it difficult to plan contingencies and build redundancy. According to the United Nations Conference on Trade and Development (UNCTAD), 80% of international trade is transported by sea. Asia was the world’s leading maritime cargo handling centre in 2021, accounting for 42% of exports and 64% of imports. Despite pandemic issues easing, sea freight transport remains vulnerable to disruption. The overloading of port terminals and the continuing shortage of skilled workers has led to interruptions and increased dwell times for containers when unloading and transporting goods away. This has been exacerbated by the rise in energy and raw material prices and driven by geopolitical instability, which presents additional problems for shipping routes. New technologies related to artificial intelligence (AI), machine learning (ML) and graph technology promise a radical change in commercial shipping. Autonomously sailing “smart ships” may be some way off, but there is already great potential in optimising routes using smart AI navigation systems. Analysing high-quality data in large quantities makes it possible to coordinate and optimise workflows across multiple transport chains on water and land. The data-based approach promises more speed, reliability, and efficiency and can also be used in terms of CO2 emissions to meet increasingly strict regulatory requirements around sustainability. Navigating a vast ocean of data The […]