Articles
Artificial Intelligence
How to Manage Lead Time With Machine Learning
The impact of lead time variability on supply chain management is a critical factor impacting operational efficiency, cost management and service delivery. Lead time involves decisions that determine optimal inventory levels, when to place orders and how much to order, stocking policy, available-to-premise calculations, supplier performance and supplier selection.
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Supply Chain Pocket Change?
As a company’s supply chain network evolves over time, information needed for adaptive efficiency becomes isolated in hard-to-find data pockets. In those instances, data required to drive modern efficient operations is isolated and not instantly accessible—usually housed on old world siloed spreadsheets. Do you have supply chain data points in hidden pockets? Modernized business operations […]
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The Future of Predictive Shipping and the Amazon Advantage
The future of predictive shipping will be defined not by a single end-to-end platform but by the ability to integrate and optimize across a fragmented supply chain ecosystem.
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NOTED: Supply Chain Highlights
GOOD WORKS: The CMA CGM Foundation will produce and deploy 10 PharmaBox units, which enhance access to medicines and healthcare in numerous humanitarian crisis zones across Africa. The units will be installed in Chad, Nigeria, the Democratic Republic of Congo, Burkina Faso, Madagascar, and Mozambique, with deployment to be adjusted as humanitarian needs evolve.
Read MoreGeneration AI?
Generative AI, or Gen AI, refers to a type of artificial intelligence that can create new content. But I am hijacking the term. In the way that Gen Z, Gen X, and Gen Y refer to different generations of Americans, I’m redefining Gen AI as the generation who are conversant in artificial intelligence and applying […]
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How is AI Transforming Supply Chain Operations?
Searching for real-world examples of supply chain organizations that have implemented AI solutions and are seeing financial and operational results? We serve them up right here.
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Avoiding AI Pitfalls
Deploying artificial intelligence in supply chain management was not expected to be easy. Here are some early traps and how to avoid them.
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DEI Erosion Threatens Safety. Artificial Intelligence May Help Pick Up the Slack.
Rollbacks on diversity, equity, and inclusion (DEI) efforts will exact a heavy cost on safety, compliance, and productivity on American industrial workforces, which grow more diverse every year. AI might help.
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Top 20 AI in Supply Chain Examples: Applications in the Industry
Discover how top AI applications in supply chain management can boost efficiency and cut costs. Explore real-world examples to enhance your operations.
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The Future of the Automated Supply Chain
Automation is revolutionizing warehouses and transforming the future of supply chain operations, while AI drives smarter forecasting, streamlined planning, and greater efficiency. To harness these advancements, organizations need a strategic approach that includes robust governance and well-managed data to ensure sustainable, cost-effective growth.
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Transforming Supplier Risk Management: The Role of AI and Predictive Analytics in Complex Supply Chains
Supply chains globally are growing at a massive scale. This interwoven web has become so complex, that it has become an insurmountable challenge for companies. With this growth, the supplier’s risks have increased exponentially.
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IN BRIEF: New Services and Solutions
Savage opened a new Niagara Transload facility at the Thorold Multimodal Hub in Ontario. Located in the Golden Horseshoe, the facility provides connections between rail, maritime, and truck transportation, which can reduce transport costs for the manufacturing, agriculture, and construction industries.
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Big and Bulky Needs an Overhaul Beyond Logistics
The Mount Everest of delivery is the high-risk, high-reward segment known as big and bulky, where retailers can make more money if they get it right and leave their reputation in tatters and coffers empty with a few missteps.
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Hype vs. Reality: The Promise of AI in Supply Chains
AI-driven solutions are often hailed as the silver bullet for today’s supply chain challenges. The hype promises faster operations, cost savings, reduced risk, and streamlined customer service—but how much of this is reality? Here’s a look at the tangible impacts AI is having on supply chains, dissecting where it truly delivers and where expectations may need a reality check.
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Warehouse Robotics Unlock Efficiencies
From AI-powered AMRs to cobots working safely alongside humans, cutting-edge robotics are transforming supply chain operations. See how the latest innovations are changing the game and driving efficiency.
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What Logistics Function Will AI Have the Most Profound Impact On?
Expert insights on the functions and solutions most ripe for AI impact.
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AI and the Essential Supply Chain Worker
When it comes to AI in the supply chain, we can choose fear or embrace change. Only one approach is likely to be successful.
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Why We Need Advanced Manufacturing
What I learned over 40 years in manufacturing is that innovation and manufacturing are intertwined. Brilliant scientists and engineers invented some of the world’s most innovative and impactful products, and many of them need to be manufactured on innovative processes.
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Supply Chain Technologies that Empower the Human Workforce See Growing Investments
The 2024 MHI Annual Report, “The Collaborative Supply Chain,” shows companies are leveraging artificial intelligence and other technologies in a human-centric way.
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When Robotics, Starlink, and AI Converge: What’s Next?
The maturation and convergence of three technologies—robotics, Starlink, and artificial intelligence—will revolutionize the practice of supply chain management across the globe. I know you have heard that before, but this time it is not hyperbole. When these three technologies converge, much of how we manage logistics today will be legacy, a fading memory in a […]
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