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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. He introduced Enterprise Promise and Fulfill, a new solution that supports enterprise-wide inventory visibility and real-time order orchestration.
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.
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.
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, with its complex planning questions, is typically an area where optimization technology is required. SupplyChain Network Design. Inventory optimization. Prescriptive analytics is a type of advanced analytics that optimizes decision-making by providing a recommended action.
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.
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.
When you talk to companies that have implemented enterprise or supplychain applications, executives will usually admit that they have under-invested in training and preparing users to use the new technology. Molex implemented a multi-enterprise supplychain network platform from SAP called SAP Business Network.
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.
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.
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.
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. That may sound impossible, but new technology places this capability within the reach of every organization.
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.
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.
October 14th – 18th 2024 SupplyChain & Logistics News Yesterday, I landed back in the States from my autumn getaway. For example, in the UK, duty on a bottle of wine is currently £2.23, and on top of that, there’s a 20% VAT. For example, Ryanair was supposed to get 20 deliveries before the end of December.
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.
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.
5G networks significantly improve data transmission speed, latency, and device connectivity, revolutionizing supplychain operations. These advancements enable real-time tracking and monitoring, enhance automated systems, and support a larger number of connected devices.
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. Supplychain unification was an undertone for many of the sessions during the entire event.
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.
In the competitive industrial landscape, efficient spare parts inventory management is crucial to maintaining seamless operations and driving profitability. Spare parts supplychains, however, come with their own set of complexities, requiring targeted strategies and specialized tools to meet these unique demands effectively.
These steps include sourcing and receiving inventory, storing inventory, order processing, picking and packing an order, shipping the order, and returns management. Factors like planning tools, inventory management, demand patterns, and innovations in technology contribute to the success or failure of fulfillment optimization.
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.
How to Improve Your SoftwareSupplyChain! When you hear the term “supplychain,” you might think of physical goods, logistics, and warehouses. However, software also has a supplychain. This journey can be complex, involving multiple people, processes, and technologies.
The convergence of robotics, artificial intelligence, and sensor technologies is enabling new levels of automation in both warehouse operations and last-mile delivery. Automated Guided Vehicles (AGVs) follow predefined routes and are well-suited for repetitive, fixed-path material transport.
For years, supplychains were engineered to be lean. Recent years have brought a series of disruptions that exposed vulnerabilities in how supplychains are designed. Recent years have brought a series of disruptions that exposed vulnerabilities in how supplychains are designed.
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.
Manhattan joins a select group of supplychainsoftware suppliers generating over $1 billion in annual revenue. The company also sells supplychain planning and transportation management solutions. In 2024, their supplychain planning solution was added to the platform.
Procurement and supplychain management are often used interchangeably—but in practice, the lines between them can blur in ways that create real friction. In this blog, we cover the key differences between procurement and supplychain management, and explain where the biggest disconnects typically occur.
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.
Harvard Business Review recently published an article, “ To Build Resilience, CEOs Need to Become Supply-Chain Experts ”. In this article, we wanted to discuss one aspect of supplychain that is often not given enough attention – building strategic relationships and shared value with direct spend suppliers.
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.
Unfortunately, Helene was not an exception but instead illustrates the “new normal” situation, where weather events of increasing frequency and severity are no longer isolated incidents, but are instead a consistent threat to supplychains. tallying a staggering $182 billion in damages.
The pace of technological evolution is pushing organizations to the brink. This is more evident in supplychain, where time-tested methods are being replaced with new ones. The groundbreaking technology is transforming how companies manage sales and operations planning (S&OP). Enter Generative AI (GenAI).
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.
E-commerce giants like Amazon, Alibaba, Temu, and Shein are expanding their global warehouse footprints, driving the adoption of WMS to manage inventory, reduce lead times, and optimize last-mile delivery. These technologies enhance decision making, reduce downtime, and improve warehouse intelligence.
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.
As supplychain leaders face heightened demand uncertainty and extreme supplychain disruption, the answer is not going to come from Silcon Valley. Big Tech innovation did very little to improve supplychains, but the implications of these layoffs loom large adding another layer to the current disruption.
Consequently, everyone asserts they are utilizing AI, and those in the supplychain world are no exception. How will it address “the world hunger problem” in supplychains, particularly in the context of supplychain planning? How can AI contribute to end-to-end decision automation?
As a supplychain executive, picture beginning your day with a cup of coffee when a news alert notifies you of newly imposed tariffs affecting your primary suppliers in China. An automotive company I collaborated with conducted detailed modeling of potential tariff impacts on semiconductor supplychains.
Supplychain efficiency is the cornerstone of success and involves the effective management of processes, resources, and technologies from procurement to production, transportation to warehousing. In the automotive sector, manufacturers are simultaneously reducing inventory costs and delivery times.
ARC analysts have published predictions about supplychaintechnology trends at the beginning of the year in past years. SupplyChain Disruptions Will Diminish, but Remain Substantial. SupplyChain Disruptions Will Diminish, but Remain Substantial. We expect direct impacts to diminish in 2022.
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