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In the fast-paced world of modern supplychains, traditional forecasting methods fall short. Advanced supplychain planning is being transformed by probabilistic forecasting , which revolutionizes demand forecasting, supply planning, and inventory optimization.
At ToolsGroup, we’ve long championed probabilistic demand forecasting (also known as stochastic forecasting) as the cornerstone of effective supplychain management software. Like betting that a champion racehorse will win a specific race, this “single-number” forecast assumes one definitive result.
In the fast-paced world of modern supplychains, traditional forecasting methods fall short. Probabilistic forecasting is revolutionizing demand forecasting, supply planning, and inventory optimization by significantly improving forecast accuracy and decision-making across distribution networks.
Improving demand forecast accuracy is crucial for supplychain success. Traditional demand forecasting methods often fall short, resulting in inefficiencies, excess inventory, and lost revenue. Unlike static demand prediction models, AI-driven forecasting adapts over time, leading to improved demand forecast accuracy.
From demand forecasting to inventory optimization, risk mitigation to sustainability — AI is set to transform everything. It’s a must-read for forward-thinking procurement and supplychain leaders looking to harness the power of AI to achieve transformative results. AI isn’t the future. It’s here, now.
Demand forecasting has evolved dramatically in recent years. Businesses have shifted from supply-focused approaches to demand-driven models, yet many still struggle to balance accuracy with agility. Traditional forecasting methods often fail under high variability, leading to excess costs, stockouts, and obsolescence.
Demand forecasting has evolved dramatically in recent years. Businesses have shifted from supply-focused approaches to demand-driven models, yet many still struggle to balance accuracy with agility. Traditional forecasting methods often fail under high variability, leading to excess costs, stockouts, and obsolescence.
Machine learning (ML)a specialized field within artificial intelligence (AI)is revolutionizing demand planning and supplychain management. According to McKinsey , organizations implementing AI-driven demand forecasting solutions can reduce forecast errors by 30% to 50%.
But many supplychain practitioners dont realize that the most common approach to supplychain planningusing a demand-driven forecast as the primary input to future planningis just as outdated. Forecast Accuracy vs. Uncertainty Uncertainty-driven demand forecasting assumes that accuracy is an ongoing challenge.
Speaker: Brian Dooley, Director SC Navigator, AIMMS
Is your demand forecasting process evolving with the times? Are you satisfied with your level of forecast accuracy? This webinar shares research findings from a recent survey among supplychain planning professionals and delves into the following: Who is typically responsible for forecasting?
Demand forecasting is a critical strategy for supplychain management that can dramatically improve business decision-making and financial performance. However, securing leadership buy-in for demand forecasting technology requires a strategic approach that clearly demonstrates value.
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.
The supplychain industry is no stranger to uncertainty. While businesses cant predict every challenge, they can take proactive steps to anticipate disruptions and strengthen their supplychain management systems with advanced demand planning tools.
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.
As unavoidable variability adds more complexity to your supplychain, this guide shares the effects of uncertainty on businesses and explores ways to alleviate uncertainty & increase manageability through greater forecast accuracy.
CONA Services Provides a Common Platform for SupplyChain Collaboration CONA Services LLC is an IT services company owned and governed by the 11 largest Coca-Cola bottlers in North America. Its main applications include SAP for backend transactions, Blue Yonder for supplychain management , and Salesforce for sales.
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.
Imagine a world where supplychains run with complete transparency, efficiency, and automationwhere every transaction, shipment, and payment are executed seamlessly without intermediaries slowing things down. For decades, supplychain management has encountered bureaucratic bottlenecks, inefficiencies, and trust issues.
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.
Speaker: Olivia Montgomery, Associate Principal Supply Chain Analyst
The supplychain management techniques that dominated the last 30 years are no longer supporting consumer behavior or logistics and manufacturing capabilities. You'll learn more about: Trending supplychain tech investments to consider. Forecasting techniques to manage inventory. So what’s working now?
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.
For years, supplychains were engineered to be lean. Recent years have brought a series of disruptions that exposed vulnerabilities in how supplychains are designed. Recent years have brought a series of disruptions that exposed vulnerabilities in how supplychains are designed.
The forecast calls for snow and ice for most of the. Read more The post Above the Fold: SupplyChain Logistics News (January 10, 2025) appeared first on Talking Logistics with Adrian Gonzalez. As you read this, Ill be making my way to my sons graduation from Officer Candidate School (OCS) at Fort Moore, Georgia.
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. Incorporating Sustainability in SupplyChains Sustainability in supplychains extends beyond energy use, addressing broader environmental and social impacts.
In most industries, supplychains have become increasingly complex. As a result, many organizations are moving toward supplychain orchestration as a structured method for improving coordination. Collaborative Workflows Supplychains involve many teams and companies working toward the same outcome.
When one thinks of supplychain software 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.
Neil’s post in response to my post of Driving Value From Outside-in Planning : In her post, ‘Driving Value from SupplyChain Planning’, Lora Cecere provides great supplychain analysis and benchmarking for her supplychains to admire. Supplychain leaders love shiny objects.
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.
Difficulty forecasting demand due to constant supplychain disruptions. Supplychain analytics creates new insights that help improve supplychain decision making from the improvement of front-line operations to strategic choices, such as the selection of the right supplychain operating models.” – McKinsey & Company.
During my current supplychain planning market research, I have received briefings from several SCP companies. The people who work with us are those who really, truly believe in what we believed in from the start, that is, autonomous supplychains are possible. Forecasting is not an actionable item.”
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.
Predictive analytics offers the added benefit of forecasting maintenance needs and planning routes based on historical data, allowing for proactive resource allocation. This will result in a more resilient supplychain, equipped to handle disruptions with minimal impact on delivery schedules. The post Fleet Management 2.0:
In the supplychain arena, the need to make course corrections is exploding. For instance, advanced factory scheduling solutions use predictive maintenance inputs, which rely on sensor data to forecast equipment failures. Short-term forecasting relies on POS and other forms of downstream data.
Speaker: Irina Rosca, Director of Supply Chain Operations, Helix
As we plan for the world of eCommerce and the customer expectation of quick, free shipping, our ability to forecast is turned on its head. Join Irina Rosca, Director of SupplyChain Operations at Helix and an experienced global supplychain strategist, as she walks through the key questions to a successful and efficient distribution network.
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.
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. They do not excel in planning or forecasting.
During his tenure in the industry, he built innovative pricing and forecasting models, leveraging internal and external data sources to improve internal decision-making and increase profitability. He leads a team of market experts who study every facet of the logistics industry to bring the best available insight to customers.
That capability is accurate, dynamic, real-time forecasting. Thanks to artificial intelligence (AI), machine learning (ML), data science, analytics, and advanced algorithms, today’s forecasting solutions are smarter and more precise than ever.
Agility and accuracy don’t necessarily need to be at logger heads. In-fact, anticipatory agility enabled by AI and Machine Learning can move the accuracy frontier forward in terms of validity and consistency driving significant business value.
While not a comprehensive free trade agreement, the deal introduces select changes that will affect transatlantic supplychains, particularly in automotive, metals, agriculture, and pharmaceuticals. Cost Forecasting : The 10% tariff baseline increases landed costs and may affect margin forecasts across multiple sectors.
ToolsGroup’s advanced supplychain planning and optimization suite will be instrumental in refining our inventory management strategy and enhancing our competitive edge. This strategic partnership aims to improve demand planning efficiency, optimize inventory performance, and elevate service levels. “In
ToolsGroup was named the leader in the 2024 SPARK Matrix™for Retail Forecasting and Replenishment for its ability to optimize demand forecasting and deliver more strategic pre- and in-season replenishment and allocation strategies in complex retail environments.
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?
Speaker: Eva Dawkins - Senior Consultant, Supply Chain
The last three years have been a rollercoaster ride for most supplychains, filled with volatile unpredictability and frequent disruptions. We know technology improvements can improve supplychain operations and add significant value for companies even in turbulent times.
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