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Supply chain disruptions have become a persistent operational risk. Traditional supply chain planning, which relies on historical data and reactive adjustments, is no longer adequate for managing these challenges. Amazon is a leader in AI-driven supply chain management.
Jack Fiedler, the vice president for digital transformation of the global supply chain at Lenovo Lenovo is ranked tenth by one leading analyst firm among a list of global companies with exceptional supply chains. I’ve not seen a company that does a better job of agile planning across an end-to-end, multi-tier supply chain.
Trade policies are constantly evolving, forcing companies to assess how these changes impact customer demand, supply networks, fulfillment strategies, and cost to serve. Supply chains need to be more agile than ever, yet much of the advice circulating in the industry remains high-level or less than ideal.
They used the phrase planning at the edge of chaos. The Need for Speed When you talk to supply chain planning software suppliers, they identify similar trends. And the trends they are focused on have a direct impact on their product development plans. John Galt Solutions is a provider of supply chain planning solutions.
Strengthen your operations with the Supply Chain Resilience Checklist. This practical, easy-to-use tool helps your organization prepare for disruptions and ensure long-term continuity in an unpredictable world.
When one thinks of supply chain software vendors, the name InterSystems may not spring to mind. A supply chain data fabric can help companies augment their supply chain processes. They aim to achieve the same success in supply chain management that they have achieved in the healthcare sector. Who is InterSystems?
As a supply chain 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. This isnt a hypothetical scenario; its the daily grind for many businesses in 2025, where global trade rules shift faster than you can update your spreadsheets.
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 supply chain that is often not given enough attention – building strategic relationships and shared value with direct spend suppliers.
The logistics and supply chain industry is a critical component of global trade, responsible for moving goods and materials efficiently to meet consumer and business demands. Businesses face heightened uncertainty in managing costs and securing stable energy supplies. Immutable records enable accountability throughout the supply chain.
This eBook shares how supply chain leaders leverage their supply chain design software to tackle a variety of challenges and questions. Scenario analysis and optimization defined. Creating a strategic digital twin (digital representation) of your supply chain network. Diversifying sourcing and manufacturing.
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. As industries evolve and global markets expand, ethical considerations have become central to supply chain compliance.
Supply chain 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. Decision-makers must operate with agility and speed, often orchestrating complex scenarios across vast supply chain networks.
For years, supply chains 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 supply chains are designed. AI also helps with scenario modeling.
Today’s supply chains are fraught with uncertainties across demand and supply yet are tasked with adding incremental value to their organizations while also meeting commercial, working capital and sustainability goals. The challenge for supply chain teams lies in increasing knowledge to create value amid this complexity.
Managing disruption of any kind has become the #1 priority in supply chain 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!
Self-congratulations notes abounded this week as vendor-after-vendor shared their rankings on the Gartner Magic Quadrant for Supply Chain Planning. I believe that the Gartner Magic Quadrant is a barrier to progress in supply chain planning, and that vendors that rally in support have a false sense of superiority.
Increasing concerns over mass supply chain disruptions. Its a rollercoaster for logistics and supply chain leaders operating in global markets. Businesses are facing greater volatility as tariff changes wreak havoc on supply chains, operational costs, and overall profitability. Intensifying geopolitical unrest.
Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, and increase operational efficiency can benefit from a supply chain data gateway. Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.
Safety Stock: Navigating Supply Chain Volatility Through Strategic Inventory Planning Demand volatility represents a critical challenge for supply chain executives today, with safety stock emerging as a key strategic tool to mitigate market uncertainties.
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.
Machine learning (ML)a specialized field within artificial intelligence (AI)is revolutionizing demand planning and supply chain management. These improvements directly strengthen the bottom line, making ML capabilities an essential component of modern supply chain management software.
And how can supply chain planning help? My goal was to think harder about how to best implement Advanced Planning before I wrote my next post. In one project, I am interviewing over fifty supply chain leaders on their perceived impact of advanced planning, what makes a good plan, and how effectively they use the technology.
The new year has arrived and so has the new wave of noteworthy news coming out of the supply chain space. A first-of-its-kind research project was published by the FAIRR Initiative, addressing human rights violations and overfishing in the seafood supply chain. Now let’s get into the supply chain news from this week!
Food and Drug Administration (FDA), in collaboration with the Department of Health and Human Services (HHS), announced a plan to phase out eight petroleum-based synthetic food dyes from the U.S. food supply by the end of 2026. This raises complexity in planning, labeling, and inventory control. Yesterday April 4 2025, the U.S.
Global supply chains 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.
Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, and increase operational efficiency can benefit from a supply chain data gateway. Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.
The industrial sectorparticularly supply chain 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.
Supply Chain & 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 supply chains, I found the exhibit fascinating and saw that the obsession with foreign objects has persisted throughout history.
It creates a single source of truth for your rate management, automating RFQs and streamlining the entire procurement process. billion rate data points monthly to provide the most comprehensive view of the market, helping you identify savings opportunities and make data-driven decisions.
The adoption of AI in supply chain automation is enabling companies to make more accurate decisions, reduce cycle times, and better manage complexity. AI in supply chain automation is gradually reshaping how core functions operate, particularly in procurement, warehousing, and logistics.
India’s growth story can continue if it streamlines and effectively manages its supply chain like the iconic dairy brand Amul that recently entered the US market. Amul has outlined plans for further expansion into major cities across the US and eventually into additional international markets.
At ToolsGroup, we’ve long championed probabilistic demand forecasting (also known as stochastic forecasting) as the cornerstone of effective supply chain management software. In conventional supply chain planning , planners using basic tools (typically spreadsheets or legacy systems) forecast just one number for each item.
Over the last two decades, there has been a significant focus on increasing the speed of supply chain planning solutions. However, you may have noticed that the increase in the speed of supply chain planning solutions is not resulting in better decisions, improved performance, or much-needed supply chain agility.
According to research by Ernst & Young LLP, the global consulting firm, as the Covid crisis recedes, supply chain executives are losing the strategic gains they made with their C-suite counterparts. 28% of supply chain leaders cite cost reduction as one of the top three priorities currently.
Your Aftermarket Supply Chain is More Complex Than You Think: Stop Guessing, Start Optimizing Lets be honest: managing spare parts inventory requires specialized strategies unlike any other inventory management process. Your distribution network spans multiple locations. Your parts portfolio includes thousandssometimes millionsof SKUs.
She wrote, “I have been working in the supply chain for 35 years, and we are still trying to solve the “demand” issue. Solving from a supply side seems to work for many companies I work with. Over the last two years, I actively engaged technologists and business leaders to redefine demand planning.
With the advent of the digital era, supply chain has transformed dramatically. To increase flexibility, responsiveness, and competitiveness in the long run, the investment in supply chain digitalization will increase by 10%-15% over the next few years. If trends hold, we will achieve touchless supply chains very soon.
Artificial intelligence (AI) and rapidly developing generative AI tools provide complex, real-time, and in-depth insights specific to supply chain management. This is particularly critical in supply chain environments where aligning data across siloed departments is essential.
Note: Today’s post is part of our “Editor’s Choice” series where we highlight recent posts published by our sponsors that provide supply chain insights and advice. Effective supply chain planning is crucial for maintaining competitiveness and ensuring customer satisfaction in today’s fast-paced business environment.
Scott Fenwick, Senior Director Product Strategy for Supply Chain Planning at Manhattan Associates. Manhattan Associates, a leading supplier of supply chain and omnichannel management software solutions, recently had a major product release that will shake up the supply chain planning market.
But many supply chain practitioners dont realize that the most common approach to supply chain planningusing a demand-driven forecast as the primary input to future planningis just as outdated. The key is to measure how well your supply chain can absorb uncertainty, rather than striving for perfect forecasts.
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? When planning your demand forecast, its essential to master the fundamentals. Image source: Stefan de Kok 2.
The supply chain industry is no stranger to uncertainty. While businesses cant predict every challenge, they can take proactive steps to anticipate disruptions and strengthen their supply chain management systems with advanced demand planning tools.
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