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The current AI landscape can be viewed as a series of wars,” where companies and organizations are battling for dominance across various technological and market battlefronts. Datacenter Hardware: The demand for powerful computing to train ever larger and more accurate AI models is insatiable. billion in funding.
This complexity has introduced gaps in visibility and responsiveness that traditional systems werent designed to handle. It is not a technology on its own, but rather a process that combines planning, execution, and monitoring through integrated tools and workflows.
The high-tech firm is more than a manufacturer of PCs, tablets, smartphones, and servers. The company has more than 2000 suppliers and operates over 30 manufacturing sites. Jack Fiedler : We’re unique in the technology industry. We’ve taken the same hybrid approach from a supply chain technology perspective.
In the rapidly evolving world of global supply chains, interoperability—the ability of systems, devices, and organizations to work together seamlessly—has become a critical factor for operational efficiency. Technologies like RFID (Radio Frequency Identification) and Bluetooth facilitate data exchange between devices. •
From consumer electronics to automotive manufacturing, most of the global economy’s largest industries rely on some form of discrete manufacturing. Manufacturers in these industries face several unique challenges: Labor and material shortages halting production.
Logility, a conservative company supply chain planning technology, historically had no debt and cash reserves of more than 80M, is undervalued in this deal. Aptean is orchestrating the Blue Yonder/E2open/Infor playbook of buying undervalued assets and milking the maintenance and Software-as-a-Service contracts with existing customers.
The modern supply chain is a complex network of suppliers, manufacturers, distributors, and customers, all interconnected and reliant on a shared ecosystem of trust and accountability. Balancing these priorities requires investment in robust auditing systems, supplier education, and long-term partnerships that emphasize shared values.
When one thinks of supply chain software vendors, the name InterSystems may not spring to mind. They offer softwaresystems and technology for complex integration, rapid application development, and advanced analytics and sell those solutions to companies that need to accelerate optimized business outcomes.
A data gateway is essentially a connective tissue across your supply chain, providing unified access to supply chain data from various sources, including enterprise systems, data feeds, data warehouses, data lakes, data marts, and business entities. Achieving these goals requires visibility into the entire supply chain.
Manufacturing leaders who built resilient supply chains were successful in 2021, despite the many supply and demand fluctuations. This report from TadaNow answers a critical question that supply chain leaders in manufacturing companies have – How do we plan for an ever-changing marketplace and keep risks in supply chain to a minimum?
At the recent ARC Forum 2025, Rachelle Howard, Director of ManufacturingSystems Automation and Digital Strategy, showcased how Vertex strategically blends advanced technology with a strong people-focused culture to boost manufacturing and supply chain agility. However, technology was only part of the story.
I laugh when business leaders tell me that they are going to replace their current supply chain planning technologies with “AI.” Each supply chain planning technology at the end of 2024, went through disruption–change in CEO, business model shift, layoffs, re-platforming and acquisitions. You are right.
Access to Unique Process and Asset Capabilities: Some suppliers offer unique skills, technologies, or processes that are not available in-house or through other sources. Or they may have expertise in manufacturing processes and have flexible capacity to allow contract manufacturing for new product introduction.
Running a manufacturing business isn’t easy. That’s where a manufacturing ERP comes in. Manufacturing ERP (Enterprise Resource Planning) software integrates all your core business processes into one powerful platform. It’s a lot to handle. Let’s get started.
The sample included 1,931 knowledge workers, or end users, from financial services, healthcare, and manufacturing who are familiar with the analytics tools within their applications.
The manufacturing sector is facing unprecedented volatility in global trade, with tariffs becoming the latest in a series of uncertainty drivers that are impacting virtually all industries. Manufacturing plants are deeply entrenched; tied to infrastructure, suppliers, skilled labor, and regulatory requirements.
The manufacturing and distribution industries are on the brink of a transformative era, characterized by unprecedented technological innovation, sustainability imperatives, and global economic shifts. Here are 7 key trends to watch for that will define the future of manufacturing and distribution.
With rapidly increasing freight demand worldwide, it is expected to become the highest-emitting sector by 2050.1 However, logistics managers cannot deliver against todays goals with yesterdays TMS systems. For example, reduced emissions could result from streamlined routing or fewer trips due to improved demand forecasting.
Many large organizations have multiple systems for order, warehouse, or transportation management that are barely integrated frequently not at all. Sudden and significant changes in demand, especially in consumer markets, stack up more challenges, requiring order revision and reallocation.
Speaker: Fernando Penteado, CPSM - Supply Chain and Logistics Executive, Global Markets Expert, and International Speaker
The still-persistent effects of the pandemic have made it clear that the skills and tools that characterize traditional S&OP are not enough to respond to unprecedented interruptions. How should the S&OP process evolve to face these challenging times?
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. Robotics-as-a-Service (RaaS) models further reduce capital investment barriers.
All companies and agencies above are heavily investing in technology and tools to deliver packages faster and more efficiently. As the demand sees no end and trade wars wage on, the future of the supply chain will not come without hiccups. Gallium and germanium are used in semiconductors.
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. Still, few can answer the question of how to improve decision-making with technology and the definition of a good decision. Complicated.
The global supply chain landscape is undergoing significant transformations, influenced by rapid technological advancements, shifting consumer expectations, and the intricacies of international commerce. Preparing the next generation to excel in this dynamic field requires more than traditional education methods.
They emphasized being an Industry Cloud Complete Company with industry-specific solutions for over 2000 micro verticals across Process Manufacturing, Distribution, Service Industries, and Discrete Manufacturing. Automate: utilizes technologies such as RPA, IDP, and IPaaS. RPA automates manual and repetitive tasks.
It is a brilliant tool.” The enterprise software company also announced a new analytics solution covering external workforce management. The transactions are captured in the platform, eliminating “he said, she said” type arguments. Those types of disagreements disappear in a SCCN platform.
A data gateway is essentially a connective tissue across your supply chain, providing unified access to supply chain data from various sources, including enterprise systems, data feeds, data warehouses, data lakes, data marts, and business entities. Achieving these goals requires visibility into the entire supply chain.
Advanced supply chain planning is being transformed by probabilistic forecasting , which revolutionizes demand forecasting, supply planning, and inventory optimization. Traditional supply chain planning tools rely on deterministic forecasting, generating single-point estimates that often misrepresent real-world complexities.
Fictiv , a global supply chain technology company, announced that it has entered into an agreement to be acquired by MISUMIGroup Inc., a leading global supplier of mechanical components for the manufacturing industry headquartered in Japan. Once closed, Fictiv will join MISUMI.
She wrote, “I have been working in the supply chain for 35 years, and we are still trying to solve the “demand” issue. Given your expertise, I’d love to hear what alternatives you recommend for better demand forecasting and real-time visibility beyond what’s commonly adopted today.” The reason?
Probabilistic forecasting is revolutionizing demand forecasting, supply planning, and inventory optimization by significantly improving forecast accuracy and decision-making across distribution networks. Real-World Success: Demand Planning & Supply Planning Results Industry research supports the effectiveness of probabilistic forecasting.
By integrating Nauto’s AI-powered Video Event Data Recorder (VEDR) solution with Beans.ai’s precision location data and micro-routing technology, the collaboration offers a comprehensive solution tailored to meet the needs of last-mile deliveries, including VEDR compliance. Nauto and Beans.ai
Geopolitical instability, extreme weather, labor shortages, and fluctuating consumer demand regularly impact global logistics. They integrate AI into demand forecasting, inventory optimization, and logistics operations to improve efficiency, reduce costs, and mitigate risks. Amazon is a leader in AI-driven supply chain management.
Demand forecasting has evolved dramatically in recent years. Businesses have shifted from supply-focused approaches to demand-driven models, yet many still struggle to balance accuracy with agility. What is Demand Forecasting in Supply Chain Management? What is Demand Forecasting in Supply Chain Management?
Demand forecasting has evolved dramatically in recent years. Businesses have shifted from supply-focused approaches to demand-driven models, yet many still struggle to balance accuracy with agility. What is Demand Forecasting in Supply Chain Management? What is Demand Forecasting in Supply Chain Management?
(TSX: KXS) an end-to-end supply chain orchestration, today announced a new partnership that will deliver improved alignment of supply chain plans with business objectives and strategies for midmarket discrete manufacturing companies. Were thrilled to partner with Infor to help manufacturers be more agile and resilient in the long term.
Recent disruptions have exposed significant vulnerabilities in traditional models, driven by geopolitical instability, fluctuating demand, and operational inefficiencies. A data-driven, technology-enabled approach is required to build resilience and efficiency. GPT-4 is being used to improve inventory allocation and demand forecasting.
Supply chains need systemic change that must occur via communication, data sharing, and process modernization delivered through the use of orchestrated, interoperable AI agents and data fabrics across multiple enterprises. He also noted that the company had rewritten 28 different planning applications onto one platform.
I also taught five technology companies. Manufacturers are not aware of this capability, and as a result, are not asking for it. And no technology company is marketing the idea. Once you see a demand stream, you cannot unsee it. Forecastability, Volume and Customer Service for a Manufacturing Company.
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 supply chain community. Chinese robotics companies featured prominently, including Geek+, Syrius Technology, Seer Robotics, and Bluesword.
Companies often overproduce to hedge against demand swings, yet end up with shelves of unused goods. This is where On-Demand Production comes in plat A smarter approach is taking shape. Manufacturers are shifting to on-demand production to align output with real-time demand. Digital fabrication makes this possible.
Disruptions are constant, demand is volatile, and complexity is increasing. Companies that embrace inventory optimization through modern tools are moving toward a high maturity supply chain model —and reaping the rewards. These factors demand adaptability and precision.
Blue Yonder’s CEO, Duncan Angove The supply chain software landscape is changing rapidly. This is a significant acquisition that will change the supply chain software landscape. This is a significant acquisition that will change the supply chain software landscape. Their SaaS revenues grew by 17% on a year-over-year basis.
At a division of one of the world’s largest consumer goods companies, 85% autonomy on manufacturing plans and 95% acceptance of proposed purchase orders has been achieved. We are a platform. The platform collects data and makes sure the master data is internally consistent. You manufacture stuff. That’s an action.
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