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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 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.
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.
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!
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.
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 supplychain model is a well-structured and decentralized cooperative framework that focuses on efficiency and farmer welfare.
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.
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.
The 25% tariffs on Canadian and Mexican imports and 20% tariffs on Chinese goods are expected to increase production costs, disrupt logistics networks, and force companies to rethink supplychains. auto parts are sourced from Mexico, making the tariff impact immediate and severe. Approximately 40% of U.S. More than 50% of U.S.
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.
However, the scope and timeline of the initiative carry clear implications for the food and beverage supplychain. From raw material sourcing to logistics and regulatory compliance, stakeholders across the value chain will need to prepare for structural adjustments. Production scheduling may also be affected.
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. Decision-makers must operate with agility and speed, often orchestrating complex scenarios across vast supplychain networks.
Balancing forecast accuracy with inventory management gets more challenging every day. Artificial intelligence (AI) and rapidly developing generative AI tools provide complex, real-time, and in-depth insights specific to supplychain management. This makes it hard to reach agreement. Fortunately, this is starting to change.
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.
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.
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.
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.
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.
ToolsGroup identifies five key drivers shaping the future of supplychains: changing customer expectations, heightened competition, rising operational complexity, technological advancements, and geopolitical tensions. Technological Advancements Real-time inventory tracking and predictive analytics give leading firms a competitive edge.
And how can supplychain planning help? In one project, I am interviewing over fifty supplychain leaders on their perceived impact of advanced planning, what makes a good plan, and how effectively they use the technology. I am also writing the new edition of the SupplyChains to Admire.
This disconnect between AIs potential and real-world adoption presents a significant opportunity for companies to gain a competitive edge, especially in supplychain management where uncertainty is the norm. However, its important to recognize that AI and machine learning are not magic fixes for supplychain challenges.
Today, I speak at the North American Manufacturing Association, Manufacturing Leadership Conference, in Nashville on the use of data to improve supplychain resilience. Background The Council of SupplyChain Resilience met for the first time this month. What is supplychain resilience? The reason?
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.
What is Demand Forecasting in SupplyChain Management? Demand forecasting in supplychain management is the process of predicting customer demand, supply trends, and pricing fluctuations. To help you stay ahead, here are four strategies that supplychains leaders are using to win at demand forecasting.
Self-congratulations notes abounded this week as vendor-after-vendor shared their rankings on the Gartner Magic Quadrant for SupplyChain Planning. I believe that the Gartner Magic Quadrant is a barrier to progress in supplychain planning, and that vendors that rally in support have a false sense of superiority.
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. Today the question is not just When is the next disruption coming?
Today’s article is the fifth part in a series featuring surveys from APQC on supplychain topics including ESG in supplychain , environmental sustainability , last mile , digital transformation. In May 2024, APQC gathered insights from supplychain professionals on Robotic Process Automation in supplychain.
Wikipedia In 2014, I was exploring methods to publish what is now the SupplyChains To Admire report. This data source synchronizes corporate reporting across global markets while tracking restatements, name changes, and currency shifts.) As an aside, I do not think that Lenovo is an example of a supplychain excellence.
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. SAP’s Business Network is a supplychain collaboration network.
But then, supplychain disruption became the rule instead of the exception, consumers changed their tastes as often as their socks, and global competition started playing hardball. Suddenly, managing inventory is the name of the game for companies trying to manage working capital and maximize profit while keeping customers happy.
Introduction Inventory management is the backbone of a successful supplychain operation, but it’s often a source of persistent frustration. Mobile inventory management offers a transformative solution, providing the real-time data and streamlined workflows needed to optimize operations and gain a competitive edge.
Supplychain efficiency is the cornerstone of success and involves the effective management of processes, resources, and technologies from procurement to production, transportation to warehousing. In the automotive sector, manufacturers are simultaneously reducing inventory costs and delivery times.
Ever feel like your supplychain is a tangled mess of spreadsheets, frantic phone calls, and last-minute scrambles? It’s the key to transforming your supplychain from a source of frustration into a well-oiled, profit-generating machine. You’re not alone. That’s where data analytics comes in.
In follow-up qualitative interviews, one of the largest issues with organizational alignment was metric definition and a clear definition of supplychain excellence. In my post Mea Culpa, I reference my work with the Gartner SupplyChain Hierarchy of Metrics. ” Let’s face it all supplychains have error.
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.
Excess inventory weighs down supplychains. The Hidden Costs of Traditional Inventory Models Traditional inventory models were built for predictability. The Shift to On-Demand Production Models Modern supplychains need flexibility more than volume. But in volatile markets, they often backfire.
Richard Lebovitz and Joe Lynch discuss leading inventory attack teams. Richard is the CEO of LeanDNA , a purpose-built analytics platform for factory inventory optimization. About Richard Lebovitz Richard Lebovitz is the CEO of LeanDNA , a purpose-built analytics platform for factory inventory optimization. acquired by SAP).
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. Decision-makers must operate with agility and speed, often orchestrating complex scenarios across vast supplychain networks.
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.
Wikipedia Unleashing the Contrarian Here are my thoughts this morning over coffee: Gartner Top 25: Really A Celebration of SupplyChain Leadership? Designed to lift the profession and celebrate supplychain results, I struggle to find that the methodology supports either objective.
Supplychain network design (SCND) is a powerful tool for improving business operations. It can be used to solve a wide variety of supplychain problems. Simulation techniques can fill those gaps and allow for a more holistic view of a company’s supplychain. But it has gaps.
I seethed as the news stations celebrated supplychain success for the December holidays. The health of the supplychain underpins our economy. When the supplychain is sick, all industries suffer. The supplychain can handle cost increases more easily than variability. I am worried.
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