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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 supplychain software 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. Decisions need to be digitized.
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.
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.
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 reason?
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 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.
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.
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. What can CPOs do to ease the contract management burden?
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.
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.
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. We run one of the few truly hybrid supplychain networks. That has worked out well for us.
The industrial sectorparticularly supplychain management, is facing unprecedented complexity. Lets delve into the core concepts of AI Agents and multi-agent workflows, their relevance to what ARC Advisory Group calls Industrial AI , and their potential to revolutionize supplychain management.
People think end-to-end visibility is simply aggregating data from multiple sources, storing it in one place, and serving it up. But once you have that data, how do you use it? This "Data Problem" is the biggest issue in supplychain today; it's also your biggest opportunity.
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. Most argue that when the UI is trained with the companys own data, the risk of hallucination is small.
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.
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.
Today, in supplychain planning, this could not be further from reality. Employees Cannot Get to the Right Data at the Speed of Business A war is raging between Oracle, Salesforce and SAP to automate supplychains. Supplychain was defined in 1982 as interoperability between source, make and deliver.
Fragmented processes and unstructured data pose significant challenges for supplychains. This whitepaper explores how AI and predictive insights revolutionize supplychain management.
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.)
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.
The adoption of AI in supplychain automation is enabling companies to make more accurate decisions, reduce cycle times, and better manage complexity. AI in supplychain automation is gradually reshaping how core functions operate, particularly in procurement, warehousing, and logistics.
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.
Managing disruption of any kind has become the #1 priority in supplychain operations. But, as leaders know, adapting to change is rarely a simple task and requires a fresh look at existing processes in planning and sourcing, inventory management, warehousing & distribution, and more. Download your copy today!
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.
Sustainability isnt just a corporate goal anymoreits a supplychain requirement. Schneider Electrics new Environmental Data Program gives logistics professionals unprecedented access to carbon and sustainability metrics, covering over 70% of its product turnover. Read the full article on ARC Advisory Group.
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.
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.
Ethan will also explore how predictive data and strategic due diligence can help organizations stay ahead of regulatory challenges and strengthen compliance.
Kinaxis' recent certification by Catena-X underscores a broader industry shift: the need for trusted, standardized, and sovereign data collaboration across the entire automotive value chain. The promise of Catena-X Catena-X represents a bold initiative : a unified data ecosystem designed specifically for the automotive sector.
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.
Supplychains are entering the era of legal volatility sharkins Wed, 06/11/2025 - 11:22 The conventional assumption that tariffs are geopolitical risks is becoming outdated. The resulting strategic question for companies is: How do we build resilient supplychains when even the rule-makers are unstable?
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.
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?
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.
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.
Note: Today’s post is part of our “Editor’s Choice” series where we highlight recent posts published by our sponsors that provide supplychain insights and advice. This article comes from Greg Quirk, Product Marketing Manager at Kinaxis and looks at AI in supplychains. Data is the lifeblood of AI in the supplychain.
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.
Speaker: Fernando Penteado, CPSM - Supply Chain and Logistics Executive, Global Markets Expert, and International Speaker
Now, as a variety of disruptive events cause supplychain challenges, companies are contemplating bold moves to keep business moving, including moving sourcing and manufacturing closer to home markets and maintaining a larger reserve stock to help manage the fluctuations in supply and demand.
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.
Ever feel like your supplychain is a tangled mess of spreadsheets, frantic phone calls, and last-minute scrambles? That’s where data analytics comes in. It’s the key to transforming your supplychain from a source of frustration into a well-oiled, profit-generating machine. Ready to get started?
This week in supplychain and logistics news includes Blue Yonder being selected to support Border States, an electrical distribution company, with their warehouse management needs. The CEO said this is “not just an ERP upgrade to the next set of software”, but “building a complete data infrastructure across the company.”
We’ve seen AI take over everyday tools and search engines; AI in Sourcing and Procurement is becoming a strategic tool in our kit, At Ivalua, we are helping global procurement teams integrate AI across the Source-to-Pay process, bringing automation, insight, and agility to every step. This is where AI can make a huge difference.
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