AI, Machine Learning, Supply Chain
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AI for Supplier Risk Management in Tier 2/Tier 3 Networks
Introduction In today’s volatile global economy, supply chains are more interconnected—and vulnerable—than ever. While many companies have made progress in managing risk among Tier 1 suppliers, disruptions increasingly originate deeper within the chain. Tier 2 and Tier 3 suppliers—often small firms with limited digital infrastructure—represent hidden vulnerabilities that can jeopardize production, compliance, and brand reputation. Continue reading
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AI-Powered Reverse Logistics: Closing the Loop in Circular Supply Chains
Introduction The shift toward a circular economy is no longer optional—it’s becoming a business imperative. Companies face increasing pressure to reduce waste, maximize product lifecycle value, and comply with growing regulatory demands like Extended Producer Responsibility (EPR) and the EU’s Circular Economy Action Plan. Reverse logistics—handling returns, repairs, recycling, and re-use—is central to achieving these Continue reading
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From Reactive to Proactive: How AI Is Revolutionizing Trade Compliance in Global Supply Chains
Introduction In an era marked by dynamic regulatory shifts and mounting ESG obligations, trade compliance has emerged as a strategic priority for global supply chain leaders. As new frameworks such as the EU’s CSRD, U.S. forced labor legislation, and digital customs protocols take center stage, compliance is no longer about ticking boxes—it’s about protecting brand Continue reading
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Navigating New Tariffs: AI Strategies for Supply Chain Resilience
As the global trade landscape faces a fresh wave of uncertainty due to President Donald Trump’s recent announcement of reciprocal tariffs, companies must reassess their supply chain strategies with renewed urgency. These tariffs, aimed at equalizing import duties on American goods, pose significant risks to international trade dynamics and could lead to heightened costs, supply Continue reading
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AI and the New Wave of Decarbonization in Supply Chains
Introduction Sustainability has become a strategic priority in supply chain management across industries. Companies face growing pressure to reduce carbon emissions not only within their own operations but throughout their value chains. For many businesses, Scope 3 emissions from suppliers, logistics, and product use account for the vast majority – often around 80% of their Continue reading
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Embracing a Data-Centric Approach to AI: Transforming Procurement in 2025
Introduction In 2025, procurement is undergoing a significant transformation, fueled by the growing maturity of artificial intelligence (AI) and a shift toward data-centric strategies. Rather than focusing solely on algorithms, leading companies are prioritizing the quality, structure, and integration of data to unlock AI’s full potential. According to Gartner’s recent insights, chief procurement officers (CPOs) Continue reading
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The Rise of Proprietary AI Models: What It Means for Supply Chain AI Applications
Introduction This week, Microsoft announced the development of in-house artificial intelligence (AI) reasoning models to rival OpenAI, signaling a significant shift in the AI landscape (Reuters). Major tech companies like Microsoft are moving towards proprietary AI models, reshaping how businesses access and utilize these technologies. Instead of building their own models or relying on open-source Continue reading
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AI in Digital Product Management and Supply Chain Integration: Enhancing Agility and Innovation
Introduction The convergence of digital product management and supply chain management is reshaping modern business operations. As organizations increasingly rely on data-driven strategies, integrating Artificial Intelligence (AI) into these two domains has become critical for enhancing agility, innovation, and operational efficiency. Digital product management focuses on managing a product’s lifecycle using advanced digital tools, while Continue reading
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How Predictive Analytics Will Transform Supply Chain Operations
Introduction The future of supply chains is evolving rapidly, with AI-driven predictive analytics at the forefront of this transformation. In an era where disruptions, geopolitical tensions, and fluctuating demand create unprecedented uncertainty, supply chain leaders must embrace data-driven decision-making to enhance agility and resilience. The Future of Supply Chain 2025 report highlights the importance of Continue reading
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Generative AI for Demand Planning: Enhancing Forecasting and Decision-Making in Supply Chains
Introduction As we start this year’s AI in Supply Chain series, we are diving into a critical topic—Generative AI for Demand Planning—and how advanced AI models are reshaping forecasting, inventory management, and supply chain agility. Before exploring its applications, let’s revisit the AI structure and its subsets to better understand how Machine Learning, Deep Learning, Continue reading
AI in the Chain 