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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).
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.
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.
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.
Growing Complexity The complexity of running the warehouse only continues to increase. Supplychain leaders face macro-challenges such as the pressure for sustainability, labor shortages and the effects of inflation on operating margins. For example, slotting and picking usually consume more than half of warehouse labor costs.
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.
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.
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.
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.
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.
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.
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.
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.
Adding to this already uphill battle, we don’t have trustworthy new product forecasting methods because forecasting new products with no sales data is very hit-and-miss. Machine learning (ML) provides an effective weapon for your new product forecasting arsenal. Why is new product forecasting important?
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.
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.
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. Renewable Energy for Facilities: Warehouses and distribution centers can integrate solar panels and wind turbines to lower energy costs and carbon footprints.
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.
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.
ARC Advisory Group began conducting formalized research on the global warehouseautomation market in 2014. billion globally, and I forecast it to grow to $9.9 We define the market as those warehouseautomation providers responsible for delivery of the system to the end-user (to eliminate double-counting).
During the two-day event, I participated in various sessions covering a range of topics, including Warehouse Management Systems, Labor Management, Agentic AI, and WarehouseAutomation. Supplychain unification was an undertone for many of the sessions during the entire event.
Many large organizations have multiple systems for order, warehouse, or transportation management that are barely integrated frequently not at all. Factors like planning tools, inventory management, demand patterns, and innovations in technology contribute to the success or failure of fulfillment optimization.
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.
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 WMS solution optimizes productivity and throughput in distribution centers and warehouses.
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.
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.”
When it comes to running a company, when things break down executives have traditionally said “we need to improve our forecasting!” Would better forecasting accuracy be a good thing? Unfortunately, most companies cannot, and will never be able to, consistently rely on highly accurate forecasts. Absolutely!
There are some young supplychaintechnologies that are getting a lot of buzz. But how mature are these technologies? There are also promising technologies that we expect will deliver great value. Finally, there are technologies that do generate value that few people have heard of. Hyped Technologies.
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.
The company’s dynamic approach and commitment to innovation have fueled its expansion to five strategically located warehouses, enabling comprehensive coverage of Central and Southern Italy. This strategic partnership aims to improve demand planning efficiency, optimize inventory performance, and elevate service levels.
Open Sky Group, a global leader in supplychain execution solutions, has announced a strategic partnership with Easy Metrics , a premier provider of labor management and warehouse performance management solutions.
Insights from Gartner’s Hype Cycle for SupplyChain Strategy, 2020. Supplychain professionals know it can be extremely challenging to drive day-to-day operational excellence and pursue innovation at the same time. Gartner’s Hype Cycle for SupplyChain Strategy, 2020 offers some guidance. What to prioritize.
Digital twins are emerging as digital transformation accelerators for supplychain and logistics organizations seeking enterprise-level visibility, real-time scenario modeling, and operational agility under disruption. This article explores how digital twins are being deployed in transportation, warehousing, and network design.
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.
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.
It is hard to believe it has been two years since I was faced with forecasting WMS and warehouseautomation market growth rates in the midst of the COVID-19 pandemic. These events make accurate forecasting very difficult. I tend to use time series analysis as an anchor to my forecast, as I suspect many of you do.
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.
In the age of same-day delivery and rising consumer expectations, there is immense pressure on warehouses to perform at peak efficiency. That’s where warehouse optimization comes in. Here’s what you can expect: A clear definition of warehouse optimization and its core components. Ready to get started?
Supplychain efficiency is the cornerstone of success and involves the effective management of processes, resources, and technologies from procurement to production, transportation to warehousing. Healthcare providers are leveraging efficient supplychains to ensure critical supplies reach patients when needed most.
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.
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. Extreme tariff volatility.
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.
While this is great news, it’s also placed pressure on LSPs to quickly get up to speed on advanced logistics software. They need to monitor changing conditions in real time — like freight rates, carrier and warehouse space availability, and order volatility — and always make decisions that balance service and costs.
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