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Supplychain practitioners seeking the best way to speed decision intelligence, unify supplychaindata, and increase operational efficiency can benefit from a supplychaindata gateway.
Supplychain practitioners seeking the best way to speed decision intelligence, unify supplychaindata, and increase operational efficiency can benefit from a supplychaindata gateway.
When one thinks of supplychainsoftware vendors, the name InterSystems may not spring to mind. The company aims to change this with the expansion of its data fabric portfolio. A supplychaindata fabric can help companies augment their supplychain processes. Who is InterSystems?
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.
As early as next year, procurement and supplychain operations will begin to adopt AI agents, often called “agentic AI,” to work alongside employees to make and execute decisions with precision across procurement and even the most complex global supplychains.
Our daily lives are inundated with data. 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. Why Context Matters Context transforms data into actionable insights.
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.
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. Companies that fail to modernize face supply shortages, revenue loss, and regulatory risks.
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.
Continual technological changes necessitate adjustments to manufacturing and supplychain processes, leading to a heavy volume of contracts that outpaces most industries. The high-tech and telecom sectors face a contract management crisis if the process isn’t managed properly.
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. data extractors or image interpreters).
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.
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. Proactively adopting cleaner energy sources ensures alignment with these evolving regulations.
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.
In response to the growing complexity of the modern global supplychain, logistics service providers are embracing digital supplychain solutions powered by new IoT tracking technologies and data analytics. How are new datasources and IoT tools enabling new levels of visibility into the global supplychain?
If your systems are disjointed and you lack the ability to analyze masses of data in real time, you will struggle to deliver on-time, in-full and your reputation and revenue will be negatively impacted. Optimizing fulfillment requires a series of steps to get a shipment from its source to the end customer.
All supplychain vendors seek to position themselves as leaders in supplychain AI. 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. But there is a larger AI ecosystem.
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. Without accurate data, companies face the garbage in, garbage out problem.
Why can’t we put the same energy that we put into inventing new words, tossing around acronyms, and parading on a stage to advocate for maturity models to improve supplychains? I prefer a grounded, data-driven presentation focused on improving value. Supplychain concepts follow hype cycles. I often leave.
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. Join this exclusive webinar with internationally experienced supplychain executive Fernando Penteado to discover the solutions you need.
Supplychain sustainability is increasingly important for companies facing expectations from investors, regulators, customers, and employees. Integrating ESG across supplychains presents clear operational and strategic challenges that require focused attention. Data collection and verification remain areas of concern.
Supplychains, which facilitate the movement of products from manufacturers to consumers, have historically encountered issues such as inefficiency, fraud, and a lack of transparency. Companies find it difficult to fully trust the data from suppliers, complicating efforts to ensure product authenticity, safety, and ethical sourcing.
Ted Krantz, CEO of Interos Interos , a company providing supplychain resilience and risk management software, emailed me to say that there was a supplychain risk everyone seemed to be ignoring – AI-related risks. The AI-related risks include data poisoning and model corruption.
SupplyChain & Logistics News January 2nd-6th 2025 The global supplychain never sleeps, and this weeks headlines reveal the fast-moving shifts shaping logistics, trade, and technology. From the U.S. Lets dive into the biggest stories impacting businesses and consumers alike.
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 is both our most important buffer and greatest source of waste.) Caveat Emptor.
Source: mainebiz.biz In today’s rapidly evolving logistics and supplychain sector, warehouses are increasingly turning to innovative technologies to gain a competitive edge. Overview of Warehouse Robotics Warehouse robotics represent a revolutionary advancement in the logistics and supplychain sector.
Technology can change or even improve work. Companies today making a fundamental mistake: they are attempting to automate current processes with AI versus challenging and redefining work. Today, in supplychain planning, this could not be further from reality. What’s missing? This bearish attitude is well-founded.
SupplyChain & Logistics News February 2nd-6th 2025 The global supplychain never sleeps, and this weeks headlines reveal the fast-moving shifts shaping logistics, trade, and technology. From the U.S. Lets dive into the biggest stories impacting businesses and consumers alike.
I find that most companies’ understanding of supplychain planning is immature, and that next week, at the Gartner SupplyChain Summit in Orlando, that many will don their Mickey ears to discuss what I consider outdated supplychain planning models. How can I improve the process of software selection?
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. but also How well can we proactively avoid the damage it may cause? billion to $23.07
According to research by Ernst & Young LLP, the global consulting firm, as the Covid crisis recedes, supplychain executives are losing the strategic gains they made with their C-suite counterparts. 28% of supplychain leaders cite cost reduction as one of the top three priorities currently.
Artificial intelligence (AI) and rapidly developing generative AI tools provide complex, real-time, and in-depth insights specific to supplychain management. Further, AI-driven demand sensing allows businesses to combine scattered data which is essential for better forecast accuracy.
In this type of environment, traditional procurement software and manual processes are insufficient – and many procurement teams are looking to artificial intelligence (AI) for answers. Without the right tools, it’s difficult to properly vet vendors or catch the early warning signs of potential fraud or other issues.
SupplyChain & Logistics News Round-Up (October 7th – 11th) This past week, I’ve been playing tourist in London, one of my favorite cities in Europe. In the context of supplychains, I found the exhibit fascinating and saw that the obsession with foreign objects has persisted throughout history.
Robotic Process Automation (RPA) refers to process automation that combines process steps with decision models or business rules with little to no human oversight. APQC conducts research on supplychain and logistics to help organizations assess the performance of their own processes and functions compared to their peers.
For years, supplychains were engineered to be lean. Reducing cost was the primary objective, and most operational decisionsfrom sourcing to fulfillmentreflected that mindset. Recent years have brought a series of disruptions that exposed vulnerabilities in how supplychains are designed.
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.
If you’re exploring procurement technology, chances are you’re not just looking for a better tool – rather, you’re looking for a smarter, scalable strategy. AI, automation, and generative tools are redefining efficiency, allowing procurement teams to move from reactive to proactive decision-making.
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.
As the logistics technology sector continues to mature, the number of tools, solutions and platforms that supplychain stakeholders are using (juggling?) This proliferation has made the need for – and lack of – industry data standards all the more acute. are growing too. future may hold.
Home No More Black Swans: The Age of SupplyChain Uncertainty Freightos Enterprise unifies market intelligence, tender management, and shipment operations into one solution, enhancing logistics efficiency for large import-export businesses. Everything should be expected and planned for.
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.
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. The secret?
This involves the use of new technologies on their platform. Data fabrics, knowledge graphs, a digital thread, and digital twin technologies are critical. The Need for Speed When you talk to supplychain planning software suppliers, they identify similar trends. Their solution is known as Atlas.
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