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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.
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.
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. Momentum 2025 underscored Manhattan’s consistent focus on delivering unified, scalable systems to meet the evolving demands of supplychain and commerce operations.
Blue Yonder continues to demonstrate its commitment to sustainability with its latest acquisition of a UK-based Pledge Earth Technologies (Pledge). Pledge provides supply teams and logistics providers (LSPs) with accredited emissions measurement and reporting capabilities.
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. Addressing Energy Challenges in Logistics The logistics sector is a significant contributor to greenhouse gas emissions.
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. The forecast can be compared to what actually shipped or sold.
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.
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).
Supplychain disruptions have become a persistent operational risk. Geopolitical instability, extreme weather, labor shortages, and fluctuating consumer demand regularly impact global logistics. Amazon is a leader in AI-driven supplychain management.
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.
This week’s news roundup highlights the transformative impact of AI integration, autonomous robotics, and strategic visions on the future of supplychains, on to the news: How AI Can Help Tame Warehouse Complexity Artificial Intelligence | By Steve Ross • 06/12/2025 The complexity of running the warehouse only continues to increase.
Jack Fiedler, the vice president for digital transformation of the global supplychain at Lenovo Lenovo is ranked tenth by one leading analyst firm among a list of global companies with exceptional supplychains. Jack Fiedler : We’re unique in the technology industry. That has worked out well for us.
In an increasingly competitive logistics landscape, these capabilities allow companies to remain agile and cost-effective. Enhanced Efficiency Through Real-Time Data Connected vehicle technology drives efficiency improvements across route planning, driver safety, maintenance, and fuel management.
The industrial sectorparticularly supplychain management, is facing unprecedented complexity. While Generative AI (GenAI) has shown promise, its limitations in planning, workflow automation, and dynamic adaptation necessitate a more sophisticated approach. Colin Masson, ARC Advisory Groups expert on Industrial AI.
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.
In most industries, supplychains have become increasingly complex. As a result, many organizations are moving toward supplychain orchestration as a structured method for improving coordination. Collaborative Workflows Supplychains involve many teams and companies working toward the same outcome.
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.
Frederic Laluyaux, the CEO of Aera Technology, agrees with this assessment. In the supplychain arena, the need to make course corrections is exploding. Masson of ARC points out, “Each AI use case requires specific datasets and may necessitate different tools and techniques.” Business cycles are compressing.
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. Heres what they shared about their services and capabilities.
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.
Based on this, a multiple-month financial, supplychain, and capital expenditure plan is produced. A supplychain planning application is the core technology that enables robust planning. Historically, the supplychain plan that resulted from the IBP process was too static. More than 5.6
He leads a team of market experts who study every facet of the logistics industry to bring the best available insight to customers. During his tenure in the industry, he built innovative pricing and forecasting models, leveraging internal and external data sources to improve internal decision-making and increase profitability.
With freight transport accounting for a significant share of global emissions, efforts to improve logistics now extend beyond operational metrics to include resilience, regulatory compliance, and climate performance. AI is playing an increasingly pragmatic role in optimizing supplychain operations.
Over the past five years, supplychains have faced unprecedented challenges. E-commerce demands, trade pressures, and increasingly complex supplier networks have necessitated executives to raise concerns about their supplychain operations. Who is responsible for SupplyChain Planning?
Supplychain leaders face macro-challenges such as the pressure for sustainability, labor shortages and the effects of inflation on operating margins. When it does look into the future, it too often uses a forecast or plan that can be weeks, if not months, out of date. Conclusion All of this sounds like science fiction.
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.
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.
An organization with tens of thousands of different products may have to move them across many modes of transportation, IT systems, and third-party logistics partners, all adding to complexity, as well as loss of visibility and control.
CONA Services Provides a Common Platform for SupplyChain Collaboration CONA Services LLC is an IT services company owned and governed by the 11 largest Coca-Cola bottlers in North America. CONA is a strategic partner that provides its bottlers with a common set of processes, data standards, and technology platforms.
Against a backdrop of US tariff uncertainty and geopolitical instability, European supplychains are backing technology as a key response, with supplychain management software and forecastingtechnologies found to be deployed most widely and the capabilities most likely to generate resilience.
Download Executive Summary Automated Storage & Retrieval Systems (AS/RS) – Cube-based storage, shuttles, unit-loads — we break down the systems revolutionizing storage efficiency. Discover how automation is streamlining customs and regulatory workflows. This report maps growth corridors across functions, technology, and regions.
The transportation, logistics, and energy storage sectors are undergoing profound transformation, driven by rapid technological advancements, evolving consumer expectations, and the global pursuit of sustainability. In 2023 alone, over $100 billion was invested in EV and battery supplychain M&A deals.
During my current supplychain planning market research, I have received briefings from several SCP companies. The people who work with us are those who really, truly believe in what we believed in from the start, that is, autonomous supplychains are possible. Forecasting is not an actionable item.”
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.
During the two-day event, I participated in various sessions covering a range of topics, including Warehouse Management Systems, Labor Management, Agentic AI, and Warehouse Automation. Supplychain unification was an undertone for many of the sessions during the entire event.
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.
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.
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.
This requires a thorough readiness assessment, selection of appropriate technology, and careful integration with existing business processes. It is crucial to assess the organization’s technological infrastructure, supplychain processes, and compliance frameworks to ensure they are aligned with DPP requirements.
That capability is accurate, dynamic, real-time forecasting. Thanks to artificial intelligence (AI), machine learning (ML), data science, analytics, and advanced algorithms, today’s forecasting solutions are smarter and more precise than ever.
Increasing concerns over mass supplychain disruptions. Its a rollercoaster for logistics and supplychain leaders operating in global markets. Businesses are facing greater volatility as tariff changes wreak havoc on supplychains, operational costs, and overall profitability.
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.
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?
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