Every week, Rinchem shares important articles and topics about chemical and gas logistics, industries we operate in, and the general global supply chain. In this week's review we discuss 2026 logistics trends, the future of supply chains, and AI adoption.
Keep reading to see this week's hot topics.
5 logistics trends to watch in 2026
In its 2026 logistics outlook, Supply Chain Dive highlights that while freight capacity across modes (parcel, ocean, air, rail and trucking) appears favorable and shippers can often secure competitive contract rates, ongoing volatility — such as rising last-mile delivery costs, ocean overcapacity, complex air cargo networks, potential major rail mergers and shrinking trucking margins — will challenge supply chain managers; operational reliability, strategic planning, advanced analytics and strong carrier relationships will be critical for navigating these risks.
TAKEAWAYS: Shaping the Future of the Global Supply Chain
The Inbound Logistics “Takeaways: Shaping the Future of the Global Supply Chain” outlines key trends and challenges for 2026, highlighting mixed progress on decarbonization with most actions focused on optimization, the impact of significant new Mexican tariffs on North American trade, elevated operational risks for automotive and other sectors, muted freight demand and workforce reductions in late 2025, and major shifts in retail supply chains toward resilience through nearshoring, technology integration, enhanced visibility and revamped 3PL partnerships — all underscoring that agility, digital tools, and strategic sourcing are central to navigating ongoing global supply chain volatility.
Manufacturers’ AI adoption is outpacing cyber, compliance, and risk governance
he Supply Chain Management Review article reports that manufacturers are rapidly deploying AI across production and supply chains at a pace that is outstripping their development of cybersecurity, compliance, and risk-governance frameworks, creating significant risk exposures; this imbalance means that while AI is being used to drive efficiency and innovation, many organizations lag in establishing the safeguards, policies and oversight needed to manage AI-driven vulnerabilities, regulatory compliance, and operational risk effectively.
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