supply chain resilience
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Harnessing Trade Growth Insights with AI: Lessons from the DHL Trade Atlas 2025
Introduction Global trade is often portrayed as fragile and precarious. Headlines about tariffs, wars and supply‑chain disruptions create the impression that cross‑border commerce is in retreat. Yet the 2025 edition of the DHL Trade Atlas paints a very different picture: trade is forecast to continue growing over the next five years, with growth slightly outpacing global Continue reading
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AI‑Enabled Cybersecurity: Safeguarding Supply‑Chain Networks from Emerging Threats
As global supply chains become increasingly digitized and autonomous, they are facing a new kind of vulnerability: cyber threats. From port terminals and warehouse management systems to vendor portals and logistics bots, every node of the network is now a potential entry point for malicious actors. A recent Accenture study found that only 36 % of Continue reading
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AI-Powered Sustainability and Circularity: Building the Supply Chains of Tomorrow
Building Sustainable and Circular Supply Chains with AI Context Sustainability has moved from a corporate social responsibility initiative to a strategic imperative for supply‑chain leaders. Governments are rolling out stricter emissions and waste regulations, investors are scrutinising environmental, social and governance (ESG) metrics, and consumers demand transparency on sourcing and lifecycle impacts. However, most supply chains Continue reading
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Edge AI and IoT: Decentralised Intelligence for Resilient Logistics
Context Edge computing moves data processing and analytics closer to where data is generated. In traditional logistics systems, sensor readings from vehicles, containers or production lines are sent to a central cloud, analysed there and then returned to the edge. This model works when connectivity is reliable and timing is not critical. However, in remote Continue reading
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AI -Powered Digital Twins: Transforming Scenario Planning and Resilience
Context Digital twin technology creates a virtual replica of physical assets, processes and entire supply chains. These dynamic models mirror operations in real time by ingesting data from sensors, IoT devices, enterprise systems and external sources. The concept originated in engineering and aerospace but has rapidly expanded into manufacturing, logistics and retail. As supply chains Continue reading
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Building an AI-Ready Supply Chain: Practical Steps for 2025–2026
Context Many supply chains were designed for a world of predictable demand, long lead times and siloed information. Today’s world is the opposite: demand swings wildly, disruptions occur regularly and data is scattered across spreadsheets, ERP systems and external partners. According to reports from the logistics technology firm FourKites, companies with disconnected systems experience up Continue reading
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Agentic AI in Supply Chain: From Promise to Practice
Context Agentic AI is the term used to describe AI systems that can act autonomously on behalf of a user or business. Instead of simply answering questions or providing data, an agentic model can interpret an objective, break it into tasks, call the necessary tools and complete the job with little human involvement. In supply Continue reading
AI in the Chain 