generative ai
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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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GenAI Contract Management & Compliance: Unlocking Efficiency and Reducing Risk
GenAI Contract Management & Compliance: Unlocking Efficiency and Reducing Risk Context: Contract Lifecycle Complexity Modern supply chains hinge on a complex web of contracts that govern supplier relationships, pricing terms, service‑level agreements and compliance obligations. Unfortunately, most organisations still rely on manual contract management. Legal teams and procurement professionals sift through hundreds of pages, often Continue reading
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Generative‑AI Network Design: Optimising Supply Chains for Resilience and Efficiency
Context Supply‑chain network design has always been a balancing act between cost, service and risk. Companies decide where to locate factories, distribution centres and cross‑docking facilities, which transportation modes to use, and how to allocate inventory and production across multiple nodes. These decisions drive billions of dollars of capital spending and determine how quickly and Continue reading
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Generative‑AI Co‑Pilots for Supply Chain Professionals: Individual vs Enterprise Use Cases
Context Generative‑AI co‑pilots are conversational assistants built on large‑language models that can interpret natural language prompts and carry out tasks such as data analysis, document generation and decision support. Unlike traditional chatbots that follow scripts, co‑pilots can reason through complex problems, retrieve data from integrated systems and propose actions. In supply‑chain management, early applications include 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 