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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. During COVID, this more agile and resilient model allowed the firm to grow their market share.
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.
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 modern supplychain is a complex network of suppliers, manufacturers, distributors, and customers, all interconnected and reliant on a shared ecosystem of trust and accountability. As industries evolve and global markets expand, ethical considerations have become central to supplychain compliance.
Explore the most common use cases for network design and optimization software. This eBook shares how supplychain leaders leverage their supplychain design software to tackle a variety of challenges and questions. Creating a strategic digital twin (digital representation) of your supplychain network.
The industrial sectorparticularly supplychain management, is facing unprecedented complexity. Volatile markets, global disruptions, and the need for real-time insights are pushing traditional systems to their limits. Typically, these systems consist of standard-task agents (e.g.,
The adoption of AI in supplychainautomation is enabling companies to make more accurate decisions, reduce cycle times, and better manage complexity. These capabilities are now being integrated into mainstream TMS, WMS, and ERP platforms.
Supplychain practitioners seeking the best way to speed decision intelligence, unify supplychain data, and increase operational efficiency can benefit from a supplychain data gateway. Here are 10 ways a supplychain data gateway can improve your performance across the end-to-end supplychain.
Why Transformation Is a Boardroom Priority Supplychain management is now a core strategic concern for business leaders. Recent disruptions have exposed significant vulnerabilities in traditional models, driven by geopolitical instability, fluctuating demand, and operational inefficiencies.
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. This is endless.
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.
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.
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. The Ukraine-Russia conflict is ongoing. Tensions flare in the Middle East without warning.
Supplychain practitioners seeking the best way to speed decision intelligence, unify supplychain data, and increase operational efficiency can benefit from a supplychain data gateway. Here are 10 ways a supplychain data gateway can improve your performance across the end-to-end supplychain.
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.
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. When it came out, ChatGPT seemed like magic.
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. Buying supplychain planning software is hard.
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.
India’s growth story can continue if it streamlines and effectively manages its supplychain like the iconic dairy brand Amul that recently entered the US market. Amul’s model supports small producers by integrating large-scale economics, cutting out intermediaries, and connecting producers directly with consumers.
Global supplychains have been tested repeatedly by a series of disruptive events, including the COVID-19 pandemic, U.S.-China Companies that previously prioritized cost-cutting and centralized sourcing quickly found themselves exposed to serious production and distribution risks. China trade disputes, and natural disasters.
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.
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.
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 supplychain community. Geek+ was honored as Best Warehouse Robotics Company for its smart warehouse automation solutions.
In today’s interconnected global economy, sustainability within supplychains and logistics has become a necessity rather than an option. For senior leaders, understanding and integrating the three pillars of sustainability—environmental, social, and economic—into supplychain strategies is essential.
Trade policies are constantly evolving, forcing companies to assess how these changes impact customer demand, supply networks, fulfillment strategies, and cost to serve. Supplychains need to be more agile than ever, yet much of the advice circulating in the industry remains high-level or less than ideal.
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.
Artificial intelligence (AI) and rapidly developing generative AI tools provide complex, real-time, and in-depth insights specific to supplychain management. This is particularly critical in supplychain environments where aligning data across siloed departments is essential.
For years, supplychains were engineered to be lean. Reducing cost was the primary objective, and most operational decisionsfrom sourcing to fulfillmentreflected that mindset. Lean models alone are no longer sufficient. Why Current SupplyChains Struggle The common failure points are not surprising.
They are focusing on how Infor creates value through insights, automation, and process. Industry-specific content is available for processes like Source to Settle, Procure to Pay, Order to Cash, and more. Automate: utilizes technologies such as RPA, IDP, and IPaaS. RPA automates manual and repetitive tasks.
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.
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.
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. The Problem with Fragmented Solutions The logistics technology space is undeniably crowded.
Unfortunately, outdated tools and fragmented processes make it difficult to maintain visibility across the supplychain and adapt at the pace of business. Digital procurement streamlines workflows and unifies data, enabling faster sourcing, better collaboration, and improved accuracy.
The global supplychain landscape is undergoing significant transformations, influenced by rapid technological advancements, shifting consumer expectations, and the intricacies of international commerce. Developing Analytical Skills Data analysis is at the heart of effective supplychain management.
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. Yet, many companies struggle to harness AIs full potential.
Enterprise IT is on the cusp of a transformation the likes of which we havent seen since the transition to Software-as-a-Service (SaaS). In fact, Id argue this transition to what is increasingly being dubbed Service-as-Software has more profound implications for industries and workforces than anything thats come before.
SAP is embedding its generative Joule across the SAP Ariba source-to-pay solution portfolio to make it easier for their customers to manage routine inquiries, such as status updates, summarization, and frequently asked questions. It is a brilliant tool.” SAP’s Business Network is a supplychain collaboration network.
The pace of technological evolution is pushing organizations to the brink. This is more evident in supplychain, where time-tested methods are being replaced with new ones. The groundbreaking technology is transforming how companies manage sales and operations planning (S&OP). Enter Generative AI (GenAI).
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.
AI is reshaping the way organizations source, manage suppliers, and drive value today. As supplychains become more interconnected and risks more dynamic, traditional procurement tools fall short. AI agents offer a smarter, faster way to manage sourcing, risk, and spend across the entire procurement lifecycle.
AI is reshaping the way organizations source, manage suppliers, and drive value today. As supplychains become more interconnected and risks more dynamic, traditional procurement tools fall short. AI agents offer a smarter, faster way to manage sourcing, risk, and spend across the entire procurement lifecycle.
As a supplychain executive, picture beginning your day with a cup of coffee when a news alert notifies you of newly imposed tariffs affecting your primary suppliers in China. Companies leaning heavily on global sourcing? Theyre feeling the heat most, as sudden trade policy curveballs throw procurement plans into chaos.
Safety Stock: Navigating SupplyChain Volatility Through Strategic Inventory Planning Demand volatility represents a critical challenge for supplychain executives today, with safety stock emerging as a key strategic tool to mitigate market uncertainties.
The rise of AI technology combined with Source-to-Pay (S2P) digitization are becoming key allies for leading procurement teams in their quest for ever smarter workflows, improved insights, and data-based decision-making. Analysts see a growing shift toward broader, integrated platforms and suites.
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