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Supplychain practitioners seeking the best way to speed decision intelligence, unify supplychain data, and increase operational efficiency can benefit from a supplychain data gateway. Here are 10 ways a supplychain data gateway can improve your performance across the end-to-end supplychain.
I laugh when business leaders tell me that they are going to replace their current supplychain planning technologies with “AI.” Each supplychain planning technology at the end of 2024, went through disruption–change in CEO, business model shift, layoffs, re-platforming and acquisitions.
In the rapidly evolving world of global supplychains, interoperability—the ability of systems, devices, and organizations to work together seamlessly—has become a critical factor for operational efficiency. Here’s how each layer translates to the supplychain context: 1.
SupplyChain & Logistics News December 2nd – December 5th Experts claim that Cyber Monday the Monday following Thanksgiving is one of the busiest days for deliveries followed by the Mondays leading up to Christmas. As the demand sees no end and trade wars wage on, the future of the supplychain will not come without hiccups.
The technological landscape is dynamic and changes quickly. And for procurement and supplychain leaders looking to harness the power of technology to navigate complex challenges and an uncertain business environment, keeping up with the latest trends can be its own obstacle.
Enhanced Efficiency Through Real-Time Data Connected vehicle technology drives efficiency improvements across route planning, driver safety, maintenance, and fuel management. Together, these capabilities show how connected fleet technology supports precise, cost-effective fleet management.
The adoption of AI in supplychainautomation is enabling companies to make more accurate decisions, reduce cycle times, and better manage complexity. AI in supplychainautomation is gradually reshaping how core functions operate, particularly in procurement, warehousing, and logistics.
Why Transformation Is a Boardroom Priority Supplychain management is now a core strategic concern for business leaders. Companies that fail to modernize face supply shortages, revenue loss, and regulatory risks. A data-driven, technology-enabled approach is required to build resilience and efficiency.
When one thinks of supplychainsoftware vendors, the name InterSystems may not spring to mind. A supplychain data fabric can help companies augment their supplychain processes. They aim to achieve the same success in supplychain management that they have achieved in the healthcare sector.
Are You Betting on the Right Tools to Succeed in 2021? Find out what's essential to supplychain excellence. Research insights on new technologies. Read the latest insights on AI, IoT, network design, machine learning, prescriptive analytics and other hot technologies. What’s inside?
Supplychain practitioners seeking the best way to speed decision intelligence, unify supplychain data, and increase operational efficiency can benefit from a supplychain data gateway. Here are 10 ways a supplychain data gateway can improve your performance across the end-to-end supplychain.
In today’s interconnected global economy, sustainability within supplychains and logistics has become a necessity rather than an option. For senior leaders, understanding and integrating the three pillars of sustainability—environmental, social, and economic—into supplychain strategies is essential.
The logistics and supplychain industry is a critical component of global trade, responsible for moving goods and materials efficiently to meet consumer and business demands. Retrofitting existing infrastructure with energy-efficient technologies further enhances sustainability efforts.
Supplychain disruptions have become a persistent operational risk. Traditional supplychain planning, which relies on historical data and reactive adjustments, is no longer adequate for managing these challenges. Amazon is a leader in AI-driven supplychain management.
This report explores how the state of supplychain network design has changed – including how the tools, maturity models, and market demands are transforming the network design practice. Advanced analytics & Scenario Modeling. Industry benchmarks.
However, as carbon taxes and emissions reporting requirements continue increasing, supplychain professionals face mounting pressures from inside and outside their organizations to measure and improve performance against new, nebulous sustainability metrics. Sustainability is high on the list of favorite corporate buzzwords.
According to research by Ernst & Young LLP, the global consulting firm, as the Covid crisis recedes, supplychain executives are losing the strategic gains they made with their C-suite counterparts. 28% of supplychain leaders cite cost reduction as one of the top three priorities currently.
Supplychain teams face a similar dilemma – companies are overloaded with vast amounts of data, and the ability to sift through the noise and focus on relevant insights has become a critical capability. Decision-makers must operate with agility and speed, often orchestrating complex scenarios across vast supplychain networks.
At the recent ARC Forum 2025, Rachelle Howard, Director of Manufacturing Systems Automation and Digital Strategy, showcased how Vertex strategically blends advanced technology with a strong people-focused culture to boost manufacturing and supplychain agility. However, technology was only part of the story.
For decades, operations research professionals have been applying mathematical optimization to address challenges in the field of supplychain planning, manufacturing, energy modeling, and logistics. Want to find out where optimization falls in the broader AI and business analytics spectrum.
Hosted at the Gaylord in Nashville the week harnessed the theme of machine speed and precision across connectedsupply chain processes. Supplychain modernization must occur in todays digital-centric world. The past approach of limited, incremental improvements is not sufficient for today’s supplychain needs.
Frederic Laluyaux, the CEO of Aera Technology, agrees with this assessment. In the supplychain arena, the need to make course corrections is exploding. Mr. Masson of ARC points out, “Each AI use case requires specific datasets and may necessitate different tools and techniques.” Business cycles are compressing.
Artificial intelligence (AI) and rapidly developing generative AI tools provide complex, real-time, and in-depth insights specific to supplychain management. This is particularly critical in supplychain environments where aligning data across siloed departments is essential.
In the fast-paced world of modern supplychains, traditional forecasting methods fall short. Advanced supplychain planning is being transformed by probabilistic forecasting , which revolutionizes demand forecasting, supply planning, and inventory optimization. The result?
Prescriptive analytics is a type of advanced analytics that optimizes decision-making by providing a recommended action. Supplychain, with its complex planning questions, is typically an area where optimization technology is required. SupplyChain Network Design. Read about 5 use cases.
In the fast-paced world of modern supplychains, traditional forecasting methods fall short. Probabilistic forecasting is revolutionizing demand forecasting, supply planning, and inventory optimization by significantly improving forecast accuracy and decision-making across distribution networks. The result?
Traditional supplychain planning was defined by the theory of constraints and the Deming Wheel of Plan, Do, Check, and Act (PDCA) philosophies. As I write about the need to rethink how we make decisions with new forms of technology and the definition of a good decision, I turn to the Cynefin model advocated by my friend Trevor Miles.
Against a backdrop of US tariff uncertainty and geopolitical instability, European supplychains are backing technology as a key response, with supplychain management software and forecasting technologies found to be deployed most widely and the capabilities most likely to generate resilience.
Five years ago, we all thought the COVID-19 pandemic resulted in the most disrupted supplychain landscape we would ever see. Since then, supplychain disruptions and volatility have only increased. We were wrong. but also How well can we proactively avoid the damage it may cause? billion to $23.07
We spoke with CTSI-Global to learn more about their approach to transportation management and the solutions they provide for businesses navigating the complexities of supplychain operations. In summary, CTSI-Global described its approach as a combination of advanced technology, customizable service models, and industry expertise.
In a recent research project, we found that 2/3 of companies had a digital supplychain transformation strategy; however, those that were evolving their strategy performed better during the early months of the pandemic than those that were “clear” on the project plan for a digital transformation. SupplyChain 4.0.
Tata Elxsi, a global leader in design and technology services, has joined forces with Minespider, a blockchain-powered traceability solutions provider, to launch MOBIUS+, an advanced battery lifecycle management platform.
Speaker: Cathy Morrow Roberson, Research Manager for the Reverse Logistics Association
In today's competitive business landscape, providing a seamless return experience and maintaining an efficient supplychain are critical to customer satisfaction and loyalty. Businesses need to leverage advanced tracking systems and data analytics to identify bottlenecks and improve supplychain visibility.
The manufacturing and distribution industries are on the brink of a transformative era, characterized by unprecedented technological innovation, sustainability imperatives, and global economic shifts. As we approach 2025, businesses face a critical juncture where adaptability and strategic foresight will define competitive success.
Global supplychains have been tested repeatedly by a series of disruptive events, including the COVID-19 pandemic, U.S.-China In response, many organizations have shifted toward decentralized and regionalized supplychain models, distributing production and sourcing across multiple regions.
As technologies like artificial intelligence (AI) gain traction, the focus has remained on practical applications that yield incremental improvements rather than wholesale infrastructure change. AI is playing an increasingly pragmatic role in optimizing supplychain operations.
Transforming supplychains—and sales careers—at Kinaxis fbaker Wed, 05/28/2025 - 05:26 At Kinaxis, we’re revolutionizing supplychain management. Driving transformation through cutting-edge technology We’re a team of passionate professionals pushing the boundaries of what’s possible in supplychain.
The current landscape brings with it an almost constant threat of supplychain disruption. While supplychain organizations strive to adapt to new modalities, tools like SAP IBP are helping leading businesses realize next-generation capabilities. Download this eBook to learn: What is SAP IBP?
Note: Today’s post is part of our “Editor’s Choice” series where we highlight recent posts published by our sponsors that provide supplychain insights and advice. This article comes from Joan Lim, Senior Manager, Product Marketing at Oracle and looks at the intersection of autonomous supplychains and sustainability.
What is Demand Forecasting in SupplyChain Management? Demand forecasting in supplychain management is the process of predicting customer demand, supply trends, and pricing fluctuations. To help you stay ahead, here are four strategies that supplychains leaders are using to win at demand forecasting.
What is Demand Forecasting in SupplyChain Management? Demand forecasting in supplychain management is the process of predicting customer demand, supply trends, and pricing fluctuations. To help you stay ahead, here are four strategies that supplychains leaders are using to win at demand forecasting.
For the past few years, the news has been filled with stories about supplychain disruptions, supplychain fragility, and the need for supplychain resilience. A term once prominent in supply discussions optimization isn’t heard quite as often as it used to be.
This guide, "The Competitive Edge of Data & Analytics in Today’s Marketplace," outlines how supplychain visibility is key for technologically mature organizations to respond to the speed of today's market, and how data is key to enabling that speed.
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