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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. These seven layers are: 1.
Las Vegas, NV – May 2025 I had the opportunity to attend Momentum 2025 in Las Vegas, Manhattan’s annual user conference focused on supplychain and commerce innovation. These intelligent agents, powered by large language models (LLMs), operate within Manhattan’s microservices-based architecture.
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 most industries, supplychains have become increasingly complex. This complexity has introduced gaps in visibility and responsiveness that traditional systems werent designed to handle. As a result, many organizations are moving toward supplychain orchestration as a structured method for improving coordination.
As artificial intelligence (AI) becomes more integrated into supplychains, companies are focusing on how it can support human workers. Most effective AI implementations today are designed to improve decision-making, reduce routine tasks, and increase operational efficiency through human-in-the-loop systems and decision support tools.
As supplychains adapt to rising complexity, automation has moved from an optional investment to a core operational strategy. Among the most impactful technologies supporting this shift are Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs). AGVs vs. AMRs: What’s the Difference?
The industrial sectorparticularly supplychain management, is facing unprecedented complexity. Volatile markets, global disruptions, and the need for real-time insights are pushing traditional systems to their limits. Typically, these systems consist of standard-task agents (e.g.,
Schneider Electric has been working to simplify its supplychain over the last few years. This French public multinational was selected as having the best global supplychain by a leading analyst firm. Schneider Electric’s supplychain operation is of great interest to other practitioners.
The adoption of AI in supplychainautomation is enabling companies to make more accurate decisions, reduce cycle times, and better manage complexity. These capabilities are now being integrated into mainstream TMS, WMS, and ERP platforms.
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.
Why Transformation Is a Boardroom Priority Supplychain management is now a core strategic concern for business leaders. Recent disruptions have exposed significant vulnerabilities in traditional models, driven by geopolitical instability, fluctuating demand, and operational inefficiencies.
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. The Ukraine-Russia conflict is ongoing. Tensions flare in the Middle East without warning.
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.
My head is wobbling with announcements, late-night Friday press releases, company name changes, and executive turnover in the supplychain planning market. Logility, a conservative company supplychain planning technology, historically had no debt and cash reserves of more than 80M, is undervalued in this deal.
It has led supplychain vendors to discuss how they currently use artificial intelligence. Further, virtually every supplier of supplychain solutions is eager to explain the ongoing investments they are making in artificial intelligence. When it came out, ChatGPT seemed like magic.
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 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.
Imagine a world where supplychains run with complete transparency, efficiency, and automationwhere every transaction, shipment, and payment are executed seamlessly without intermediaries slowing things down. For decades, supplychain management has encountered bureaucratic bottlenecks, inefficiencies, and trust issues.
Manhattan joins a select group of supplychainsoftware suppliers generating over $1 billion in annual revenue. Manhattan Associates is a leader in two markets, warehouse management systems and omnichannel systems. The company also sells supplychain planning and transportation management solutions.
Historically, supplychain leaders managed supplychains in a world of abundance. There are many factors: war, supply shortages, climate change, labor (knowledge and availability), and shifts in governmental regulation. Inventory Health. I find only 8% of companies actively measure inventory health.
His keynote address highlighted the company’s recent accomplishments, such as the introduction of a new inventory planning solution, substantial investments in research and development, and advancements in artificial intelligence. The company has also focused on AI integration, with AI agents now available on their platform.
Autonomous systems are becoming an integral part of modern logistics infrastructure. The convergence of robotics, artificial intelligence, and sensor technologies is enabling new levels of automation in both warehouse operations and last-mile delivery.
India’s growth story can continue if it streamlines and effectively manages its supplychain like the iconic dairy brand Amul that recently entered the US market. Amul’s model supports small producers by integrating large-scale economics, cutting out intermediaries, and connecting producers directly with consumers.
The supplychain industry is no stranger to uncertainty. Unexpected challenges like shifts in global markets, economic upheaval, commodity shortages, advancements in technology, or environmental changes can send shockwaves through operations in unexpected ways.
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 supplychainmodels, distributing production and sourcing across multiple regions.
From May 19 to 21, 2025, CeMAT Southeast Asia and LogiSYM Asia Pacific were co-located for the second consecutive year at Singapore EXPO, creating a comprehensive platform for the regions logistics and supplychain community. Geek+ was honored as Best Warehouse Robotics Company for its smart warehouse automation solutions.
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.
Venture capitalists are high on Artificial Intelligence (AI), and over-exuberant professors with shiny new models are jockeying into position to get rich. Building a software company is hard work. Try to gain an understanding of how technological advancements can improve work. I am speaking to many that are ill equipped.
If you’re managing inventory with spreadsheets , you’re not alone—but you might be falling behind. In this dynamic environment, inventory management powered by spreadsheets is no longer a viable strategy. Why Spreadsheets Are Failing Inventory Management Excel feels familiar. But familiarity doesn’t equal effectiveness.
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.
Balancing forecast accuracy with inventory management gets more challenging every day. Artificial intelligence (AI) and rapidly developing generative AI tools provide complex, real-time, and in-depth insights specific to supplychain management. This makes it hard to reach agreement.
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.
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.
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.
5G networks significantly improve data transmission speed, latency, and device connectivity, revolutionizing supplychain operations. These advancements enable real-time tracking and monitoring, enhance automatedsystems, and support a larger number of connected devices.
Trade policies are constantly evolving, forcing companies to assess how these changes impact customer demand, supply networks, fulfillment strategies, and cost to serve. Supplychains need to be more agile than ever, yet much of the advice circulating in the industry remains high-level or less than ideal.
At ToolsGroup, we’ve long championed probabilistic demand forecasting (also known as stochastic forecasting) as the cornerstone of effective supplychain management software. In conventional supplychain planning , planners using basic tools (typically spreadsheets or legacy systems) forecast just one number for each item.
At this years keynote, Manhattan Associates outlined its current strategic direction, underscoring platform unification, AI integration, and leadership transition. His comments reflected a long-term orientation: technology and strategy are expected to evolve in parallel with shifts in the global supplychain environment.
For years, supplychains were engineered to be lean. Lean models alone are no longer sufficient. Recent years have brought a series of disruptions that exposed vulnerabilities in how supplychains are designed. Why Current SupplyChains Struggle The common failure points are not surprising.
Gartner predicts that by 2026, 95% of data-driven decisions will be at least partially automated. In fact, Gartner also found that only 10% of CEOs say their business uses AI strategically, and just 9% of technology leaders report having a clearly defined AI vision statement. Yet, many companies struggle to harness AIs full potential.
The global supplychain landscape is undergoing significant transformations, influenced by rapid technological advancements, shifting consumer expectations, and the intricacies of international commerce. Developing Analytical Skills Data analysis is at the heart of effective supplychain management.
They are focusing on how Infor creates value through insights, automation, and process. Automate: utilizes technologies such as RPA, IDP, and IPaaS. RPA automates manual and repetitive tasks. IDP converts paper-based documents into automated digital processes. Infor calls this the Value Void.
Safety Stock: Navigating SupplyChain Volatility Through Strategic Inventory Planning Demand volatility represents a critical challenge for supplychain executives today, with safety stock emerging as a key strategic tool to mitigate market uncertainties.
At ToolsGroup, we provide cutting-edge AI and machine learning solutions to enhance supplychain resiliency and efficiency. Belcorp: A SupplyChain with Countless Moving Parts Belcorp is a beauty corporation with a mission to provide beauty products that answer to a variety of individuals’ needs. It played out as follows.
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