AI-driven digital freight matching platforms are revolutionizing logistics by enhancing agility and efficiency, crucial as European shippers face disruptions expected to persist for two more years. October saw intermodal volume declines at major ports like POLA and POLB, yet logistics growth remains steady. Companies must leverage AI and data-driven strategies to build resilient supply chains amid ongoing volatility…
Finding the Right Cold Storage Partner in Logistics
AI-driven digital freight matching platforms are transforming the logistics industry by enhancing agility and efficiency. As European shippers brace for disruptions expected to continue for two more years, the need for innovation and adaptability in logistics has never been more pressing. This article explores the current state of logistics and the critical factors in choosing the right cold storage partner.
The Current State of Logistics
October has seen a downward trend in intermodal volumes, with significant declines reported in the Port of Los Angeles (POLA) and the Port of Long Beach (POLB). Despite these challenges, logistics growth has managed to hold steady throughout the month. However, the supply chain technology employed by many companies still falls short of expectations, according to DHL.
Volatility has become the new norm in warehousing, and the logistics industry as a whole. This volatility is compounded by ongoing labor shortages that continue to impact the supply chain. In response to these challenges, logistics managers are facing tighter delivery windows, and customers increasingly expect real-time tracking of their shipments.
The Role of AI and Automation
AI and automation are driving a new era in freight technology, with intelligent transportation management systems (TMS) evolving through the incorporation of AI and modular technology. AI-driven tools are enhancing freight matching agility, enabling companies to adapt more effectively to the volatile logistics landscape.
AI is also playing a pivotal role in the digitization of supply chains and is being used to optimize operations across the board. Many exhibitors at Manifest 2025 showcased their investments in AI for transportation and logistics operations, underscoring the industry's commitment to technological advancement.
Importance of Data and Agility
Data has become a critical component for ensuring supply chain resilience. Companies must anticipate change and evolve, with agility being key in supply chain management. Data-driven planning enhances supply chain performance and is essential for making informed decisions.
Precision analytics are transforming cold chain decision-making, providing insights that drive resilience and efficiency. A streamlined network with an integrated cold chain solution is becoming essential for logistics managers aiming to optimize their operations.
Adapting to Uncertainty
Warehouse leaders are adapting to uncertainty by leveraging data and insight to build resilient supply chains. Transportation and Facility Network Optimization analyses have been conducted to identify areas for improvement and enhance operational efficiency.
Bharat Thakre envisions sustainable supply chains that heavily rely on AI-driven technology. Thakre advocates for the use of AI to optimize supply chain and logistics operations, emphasizing the importance of integrating these technologies to remain competitive.
As the logistics industry continues to navigate a three-year freight recession, companies must focus on building resilient and adaptable supply chains. The right cold storage partner will be one that embraces AI and data-driven strategies to ensure continued growth and stability in this rapidly evolving landscape.