There are a number of particularly significant trends currently shaping developments in supply chain management and logistics, and these are expected to have a major impact in the coming years. These trends are driven by technological advances, stricter customer demands, and an increased focus on sustainability and resilience.
This section focuses specifically on 10 key trends that SCE has been monitoring and analyzing in depth for a long time; some have accelerated recently, while others have declined in significance and intensity but remain highly relevant.
1. Digitalization and Data-Driven Decisions
Companies continue to invest in digital tools and automated systems to improve efficiency and transparency in the supply chain. The processing and analysis of large data sets are increasingly being used to make faster and more informed decisions regarding, for example, demand trends, customer behavior, and risks related to product availability and transportation capacity, among other factors. Here, access to cloud computing power, combined with AI and machine learning, has made it possible to act and react more quickly and make better decisions in an increasingly complex and dynamic business world.
2. Artificial Intelligence and Machine Learning
The rapidly growing importance and application of AI and machine learning are impacting most areas of society, including the supply chain and logistics. What has long been largely limited to visions and lofty ideals has, in recent years, begun to become a practical reality in the supply chain. A prime example is how AI and machine learning are now actually used in software for forecasting, planning, and optimizing demand, procurement, production, inventory management, and distribution. It is no bold claim to state that AI will be integrated even more deeply into supply chain activities and processes in the future, creating business value in the form of increased automation, speed, lower costs, reduced risk, better quality, and improved customer service. According to reports from firms such as McKinsey, Gartner, and Accenture, the market for AI in the supply chain is expected to grow by 25–30 percent over the next five years. In addition, companies that implement AI in their supply chains increase their efficiency by up to 20–30 percent per year—depending on the company’s maturity, data quality, and how well the AI solutions are integrated into operations.
3. Warehouse Automation
The automation of warehouse processes is increasing in step with ever-better, more varied, flexible, and scalable technical solutions, as well as with business models that make automation accessible to more companies. Examples include automation shared among multiple companies and financing arrangements that allow automation technology to be leased at a cost that makes the technology affordable even for small and medium-sized businesses. Another factor driving the increased demand for warehouse automation is the continued growth of e-commerce, as well as a widespread shortage of manual labor in many markets. A related trend influencing demand for warehouse automation is the increased emphasis on sustainability and circularity, where automated warehouse systems can help reduce waste, scrap, and energy consumption. In other words, the future of warehouse automation looks bright, both in 2025 and for many years to come.
4. Strengthening and Shifting Skills
Digitalization, AI development, and automation are creating a need for entirely new skills in the supply chain. This is reflected in a steadily increasing demand for employees with strong skills in AI, data analysis, and digital technology, as well as in continuing education, professional development, and reskilling of staff. Over the next five years, it is predicted that a majority of all companies will begin working more actively and systematically with AI, cloud services, and advanced data analysis. This, in turn, will lead to increased investment in new hiring, skill development, and retraining.
5. Sustainability and ESG
Sustainability is one of society’s major megatrends, and the majority of all climate and social sustainability is achieved within the supply chain. Against this backdrop, significant resources are being invested in ensuring the ethical selection of suppliers who produce and operate in accordance with various regulations and in line with the company’s own policies and goals. In addition, most forward-thinking companies are making major investments in reducing their carbon footprint in production, transportation, and warehousing, as well as in ensuring transparency and traceability. The importance of social sustainability—including workplace conditions and DEI (diversity, inclusion, equity) issues—is also growing rapidly. In 2025, pressure on companies to ensure sustainable operations will increase, as a result of both stricter regulatory requirements and consumers’ growing interest in and commitment to sustainability and ESG. A subset of this increasingly strong sustainability trend is the growing interest in circular business models—that is, business models aimed at using resources as efficiently as possible and reducing waste. The ultimate goal of a circular business model is to create a closed-loop system in which products, materials, and other resources are used, reused, or recycled for as long as possible, thereby establishing a sustainable economy where resources are used efficiently and in an environmentally friendly manner. Circular business models therefore prioritize repair and maintenance, resource sharing, and a sustainability mindset that begins at the product design stage and continues throughout the product’s entire lifecycle. Circular business models not only reduce waste and improve resource utilization but also create new business opportunities, such as resource-sharing services. In the context of supply chains and logistics, there is a rapid increase in circular business models on both a large and small scale, and this trend will accelerate through 2025.
6. Resilience and Risk
Ever since the pandemic struck the world in March 2020, resilience and risk have become top priorities throughout the logistics industry, as well as at SCE, where the issue is discussed frequently and in depth. In the wake of the pandemic and the other disruptions that followed in its wake, the need for investments in increased resilience has become clear to everyone. This is also true for top management and boards of directors, where the issue has quickly come to be viewed as absolutely vital and is therefore being allocated the necessary resources. The risks are many and are growing in today’s complex, global supply networks, which explains the drive to build more resilient supplier networks and supply chains. Common measures to increase resilience and reduce risk include diversifying supplier bases, securing additional capacity within the chain, operating in multiple geographic regions, and investing in technology that can anticipate and minimize the effects of disruptions.
7. Cybersecurity
Other ways to increase resilience have involved strengthening IT and cybersecurity in response to the digital transformation and the resulting increased vulnerability to cyber threats. Typical threats of this kind include intrusions, theft, sabotage, and attacks on network infrastructure as well as software and hardware. There are a number of possible measures that can be taken to assess, prevent, and manage risks—fundamentally, this involves continuous monitoring of systems and data, updating security measures, and providing training. All of this will be a top priority in the supply chain in 2025.
8. Relocation – nearshoring, reshoring, and multisourcing
In the wake of the pandemic and with increased risk awareness, many companies have chosen to move their production closer to their customer markets—reshoring and nearshoring—with the aim of reducing transportation risks and costs, shortening lead times, and expediting delivery times. At the same time, production and supplier structures are changing and being built with a greater degree of diversification (multisourcing), which further reduces risk. This trend will intensify in 2025.
9. Blockchain
The implementation of blockchain to improve traceability and security in the supply chain is now growing significantly, making it easier to verify origin and manage product flows. With the much-discussed blockchain technology, every phase and step of a product’s journey through the supply chain is recorded in a fully transparent manner, contributing to greater transparency and accountability. The data recorded is also encrypted to prevent fraud and tampering. By automating manual processes and activities in the supply chain, blockchain technology can increase the efficiency of administrative processes, eliminate intermediaries, and speed up processing. Blockchain can also facilitate compliance with regulations and standards by providing a transparent and non--editable log of all transactions in the supply chain, which is particularly important for industries such as food and pharmaceuticals where safety and traceability are critical. Blockchain enthusiasts believe that these features will revolutionize supply chains by increasing efficiency and security and ensuring that products reach consumers in a transparent and responsible manner. One thing is clear: blockchain is one of the top trends in supply chain management for 2025.
10. Digital Twins
Digital twins can be described as virtual models of physical objects or systems, such as supply chains. By using digital twins, companies can simulate various scenarios for their supply chain and thereby identify inefficiencies and optimize processes before any changes are actually made in the physical world. In this way, more accurate forecasts can be made for demand and inventory levels, and cost savings and resource efficiency can be achieved by optimizing processes in the virtual world and subsequently implementing them in the physical world. Digital twins can also be connected to sensors and IoT devices to provide real-time data on products, machines, and processes, enabling faster decision-making and a more responsive and agile supply chain. Digital twins are increasingly being used to predict when machines are expected to require service and maintenance, before problems arise. By implementing digital twins in the supply chain, companies can increase their efficiency, reduce their costs, and at the same time become more flexible and adaptable in rapidly changing markets.
