Artificial intelligence is poised to revolutionize supply chain operations, potentially handling up to half of all tasks by 2030, according to Gartner. Meanwhile, WiseTech's $2.1 billion acquisition of e2Open underscores significant investments in logistics technology. As new tariffs threaten to disrupt global trade for years, supply chain leaders must remain adaptable, with only 29% of supply chains currently ready…
Supply Chain Leaders Navigate Tariff Changes and Technological Advances
Supply chain executives are facing significant challenges as they adapt to evolving tariff regulations and rapidly advancing technology. According to a Gartner report, artificial intelligence (AI) is poised to revolutionize supply chain operations, potentially handling up to half of all tasks by 2030. Meanwhile, new tariffs could have lasting impacts on global trade dynamics. Leaders in the industry must remain vigilant and adaptable to navigate these changes effectively.
Technological Transformations in the Supply Chain
The logistics industry is on the brink of a technological transformation, with AI and automation at the forefront. Gartner's research highlights that only 29% of supply chains are currently ready for future challenges, underscoring the urgency for companies to adapt. AI-driven platforms are reshaping the brokerage landscape, while data and automation are driving a revolution in motor freight operations.
WiseTech's recent acquisition of e2Open for $2.1 billion marks a significant investment in logistics technology. Similarly, Uber Freight has launched an AI-powered Transportation Management System (TMS) platform, reflecting the growing importance of AI in logistics operations. The 2025 Logistics Technology Roundtable has explored innovations such as AI-powered TMS, warehouse robotics, and end-to-end automation.
Veritiv has deployed Tennant T16AMR robotic floor scrubbers across over 20 locations, automating the cleaning of more than 470 million square feet of warehouse space. This initiative is part of Veritiv's broader efforts to enhance supply chain management, particularly in hospital settings, by improving operational efficiency and facility cleanliness.
Adapting to Tariff Changes
The introduction of new tariffs presents a complex challenge for supply chain leaders. Gartner's analysis suggests that these changes could disrupt global trade for years to come. Supply chain executives must plan ahead and consider various scenarios to mitigate the impact of these tariffs. The financial implications are significant, and leaders are faced with the task of determining how costs will be absorbed across the supply chain. According to Gartner, many expect that customers will bear the brunt of these new costs.
Amidst these challenges, the role of supply chain finance is evolving into a core capability to help organizations navigate financial volatility. The importance of preparing supply chains for 2026 through strategic planning and adaptability cannot be overstated.
Human Capital and Infrastructure Challenges
The logistics sector is currently grappling with a human capital crisis, which threatens both performance and competitiveness. The 32nd Annual Study of Logistics and Transportation Trends highlights the difficulties companies face in attracting and retaining talent. Salaries for logistics professionals are rising in response to the increasing demands and complexities of the industry.
The U.S. infrastructure, vital to supply chain efficiency, received a 'C' grade in the 2025 ASCE Report Card. This rating indicates the need for significant improvements to support the growing demands of modern logistics operations. Additionally, the Environmental Protection Agency (EPA) is reevaluating aspects of the 'Clean Trucks Plan' with input from freight industry stakeholders, aiming to balance environmental goals with operational feasibility.
Innovations and Future Directions
AI is set to play a pivotal role in enhancing supply chain visibility and planning. By analyzing both structured and unstructured data, AI can enable real-time decision-making for shipping and carriers. The creation of a unified data layer allows for cohesive information sharing, which is crucial for effective supply chain orchestration.
The integration of generative AI (GenAI) into supply chain operations aids in simulations and strategic planning, providing leaders with the tools to anticipate and respond to various scenarios. As AI's role in the supply chain continues to grow, its energy consumption has emerged as a potential risk that must be managed carefully.
Cybersecurity remains a pressing concern, with cyberattacks on logistics operations expected to double by 2026. Supply chain executives must prioritize vigilance and develop robust defenses to protect their operations from these threats.
Looking ahead, supply chains must be reflexive and adaptable to thrive in an environment marked by persistent volatility and uncertainty. Data-driven, human-centric decision-making will be essential for navigating the complex landscape of the future supply chain.