capacity supply and demand News

AI and Realtime Visibility Transform Global Supply Chains

The supply chain software market is evolving towards platformization, optimizing end-to-end processes and managing multi-tiered constraints. Real-time capabilities are achieved through IoT technology for real-time tracking of inventory and transportation. Intelligence leverages AI and machine learning for demand forecasting, inventory optimization, and risk management. Companies face challenges such as data quality, technology integration, and talent development to build a more resilient and intelligent logistics system. This transformation enables better visibility, responsiveness, and efficiency across the entire supply chain network.

01/20/2026 Logistics Industry Insights

Ecommerce Logistics Faces Supply Chain and Lastmile Challenges

E-commerce expert Rick Watson delves into current e-commerce logistics challenges in a podcast, covering supply chain issues, parcel pricing, last-mile delivery, and peak season preparedness. He emphasizes the importance of optimizing supply chain management, innovating delivery models, and managing risks. Watson also envisions a future for e-commerce logistics characterized by increased intelligence, automation, and sustainability. He highlights the need for businesses to adapt to these evolving trends to remain competitive and efficient in the dynamic e-commerce landscape.

01/17/2026 Logistics Industry Insights

Trucking and Delivery Sectors Face Supply Chain Challenges

The CSCMP conference highlighted the challenges facing the trucking, express delivery, and LTL freight markets, including overcapacity, intense competition, and industry consolidation. These issues are driven by a complex interplay of factors, leading to a freight recession. Finding a balance between supply and demand is crucial, as is effective regulation to ensure fair competition and stability. The conference emphasized the need for innovative solutions and strategic adjustments to navigate this evolving landscape and prepare for future disruptions in the supply chain.

01/20/2026 Logistics Industry Insights

AI and Multimodal Transport Transform Global Supply Chains

The logistics industry is undergoing a profound transformation driven by AI, multimodal transportation, and technological innovation. Digital freight matching platforms enhance efficiency, while KICKER's supply chain restructuring case demonstrates optimization potential. Multimodal transportation is building sustainable transport networks. Expert insights reveal the future of technology, and warehouses need to address speed, scale, and talent challenges. Companies must actively embrace change to succeed in this competitive landscape, leveraging these advancements for improved efficiency and resilience.

01/21/2026 Logistics

AI and Data Governance Transform Supply Chain Strategies

The precision of supply chain decisions relies on a high-quality data foundation. This paper explores how to build a robust data management strategy through data governance, master data management, and artificial intelligence (AI) technologies. The goal is to improve the quality and availability of supply chain data, thereby optimizing demand forecasting, inventory management, transportation routes, and risk prediction. Ultimately, this enhances operational efficiency and competitive advantage for businesses.

01/21/2026 Logistics Industry Insights

Supply Chains Adapt to COVID19 and Hurricane Risks

Facing the dual challenges of the pandemic and storm season, businesses need to map their supply chains, assess risks, diversify sourcing, optimize inventory, and strengthen communication and collaboration. Port operations are a critical risk point, requiring proactive planning to ensure supply chain stability and mitigate potential disruptions. By understanding vulnerabilities and implementing robust strategies, companies can navigate these turbulent times and minimize the impact on their operations and customers. This proactive approach is crucial for maintaining resilience and avoiding significant losses.