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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. You are right.
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%.
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.
Open Sky Group, a global leader in supplychain execution solutions, has announced a strategic partnership with Easy Metrics , a premier provider of labor management and warehouse performance management solutions.
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.
However, as carbon taxes and emissions reporting requirements continue increasing, supplychain professionals face mounting pressures from inside and outside their organizations to measure and improve performance against new, nebulous sustainability metrics. Sustainability is high on the list of favorite corporate buzzwords.
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. The waste included: Negative Forecast Value Added (FVA) in demand planning.
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. Solvoyo has a metric they call the user acceptance rate.
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.
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.
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.
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.
Protecting sensitive data—such as vehicle locations, driver information, and operational metrics—requires rigorous cybersecurity measures. Predictive analytics offers the added benefit of forecasting maintenance needs and planning routes based on historical data, allowing for proactive resource allocation.
When it comes to running a company, when things break down executives have traditionally said “we need to improve our forecasting!” Would better forecasting accuracy be a good thing? Unfortunately, most companies cannot, and will never be able to, consistently rely on highly accurate forecasts. Absolutely!
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.
If “the forecast is always wrong,” is improving forecast accuracy even the solution to our demand planning woes? Artificial intelligence and machine learning ( AI/ML ) can improve forecast accuracy, but a bigger problem is the failure to set accurate expectations around forecasting models, not the accuracy of the models themselves.
Each year, we compile a list of top-performing SupplyChains, termed the SupplyChains to Admire. This week, while all my friends are on vacation, I am writing the final report for the SupplyChains to Admire. Our goal is to continually redefine the definition of supplychain excellence.
While not a comprehensive free trade agreement, the deal introduces select changes that will affect transatlantic supplychains, particularly in automotive, metals, agriculture, and pharmaceuticals. beef from 1,000 to 13,000 metric tons , removing the 20% tariff within that limit. including those from the UK.
With freight transport accounting for a significant share of global emissions, efforts to improve logistics now extend beyond operational metrics to include resilience, regulatory compliance, and climate performance. AI is playing an increasingly pragmatic role in optimizing supplychain operations.
Federal Reserve Bank of New York, Global SupplyChain Pressure Index, [link] What can you do? Measure it (both demand and supply) and use the insights. The supplychain planning role has expanded over 100% as companies expanded their markets. 80% of the data surrounding the supplychain is not used.
For over a decade, since founding SupplyChain Insights in 2012, I have pounded the keyboard, asking business leaders to think more holistically about the impact of supplychain decisions on the firm’s value, the improvement of a value chain, and the impact on the environment. Thirteen years. The reason?
Machine Learning for demand forecasting has matured to a level of accuracy, transparency and replicability that translates into transformative results, including in these five areas: Accuracy, transparency, thoroughness of analytical options and results. Let’s take a closer look at each one. Accuracy and transparency. Greed for more data.
ARC Advisory Group has been covering the SupplyChain Planning ( SCP ) market for 17 years. The pandemic brought home the need for companies to run agile and resilient supplychains. Supplychain agility reflects a company’s ability to respond quickly to surges or plummeting demand.
When I started my business in 2012, I frequently wrote about the future using the moniker of SupplyChain 2020. We had just recovered from a recession, and my goal was to help supplychain leaders create a better supplychain by the end of the decade. At that time, SupplyChain 2020 seemed so far away.
Let me start by saying that t he process is not a panacea to solve all supplychain ills. Clear operating strategy and definition of supplychain excellence across plan, source, make and deliver. Clear operating strategy and definition of supplychain excellence across plan, source, make and deliver.
It is crucial to assess the organization’s technological infrastructure, supplychain processes, and compliance frameworks to ensure they are aligned with DPP requirements. Its decentralized nature reduces the risk of a single point of failure, enhancing data security across the supplychain.
The formula for OTIF is: Measuring a supplychain against OTIF metrics is a key strategy that helps decision makers attach a tangible value to the success of their fulfillment and allows them to determine key strategies. Timely information is critical, as data older than a few days can lead to costly supplychain disruptions.
Disruptions in the supplychain happen with surprising regularity. Financial crises, global tensions, supply shortages, technological innovations, and regulatory changes are inevitable we just cant predict when theyll strike. New to probabilistic forecasting? ToolsGroup pioneered and perfected it.
Life for the supplychain leader is more complex. We are living in a world of rich supplychain case studies. Each day, the Wall Street Journal features a supplychain failure as front-page news. Traditional processes accelerate the bullwhip impact leaving leaders chained and forced into reactive behavior.
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.
Procurement and supplychain management are often used interchangeably—but in practice, the lines between them can blur in ways that create real friction. In this blog, we cover the key differences between procurement and supplychain management, and explain where the biggest disconnects typically occur.
Supplychain efficiency is the cornerstone of success and involves the effective management of processes, resources, and technologies from procurement to production, transportation to warehousing. Healthcare providers are leveraging efficient supplychains to ensure critical supplies reach patients when needed most.
The Covid-19 pandemic tested the global supplychain. Like riding a bumpy road, the supplychain leader is riding the ups and downs of changing market conditions facing greater variability day-to-day. Here, based on interviews with supplychain leaders, I share lessons learned. What are functional metrics?
To address these return-driven challenges, the industry is moving away from siloed solutions toward integrated systems that seamlessly connect Merchandise Financial Planning , Assortment Planning , Allocation , and Demand Forecasting.
Samuel Parker and Joe Lynch discuss DAT iQ: the metrics that matter. This segment is in the growth stage of its evolution, serving large enterprise brands and their Logistics, Procurement and SupplyChain teams. Experienced in solutions marketing and portfolio development across SaaS, SupplyChain Software, and OEM Hardware.
Do Set Clear KPIs and Governance Structures : Establish transparent metrics for sales, coverage, and service levels. Do Embrace Technology and Data : Use real-time data for demand forecasting, inventory management, and route optimization. A well-equipped distributor is an extension of your brand and a key to market penetration.
This means going beyond high-level forecasts to embrace tools and practiceslike Demand Collaboration, Scenario Planning, and detailed modelingthat make Sales & Operations Planning actionable, dynamic, and performance-driven. Ideally, it connects sales, marketing, supplychain, finance, and operations in a seamless flow.
It could write poetry, generate code, or answer inquiries about next months forecast. ” What makes supplychains an ideal proving ground for this evolution? But to manage it all, supplychain professionals need action, not another dashboard. Generative AI (GenAI) took off by mimicking creativity.
That’s precisely what demand forecasting feels like for many businesses today. Enter causal forecasting. Unfortunately, many companies hesitate to use causal forecasting, thinking it’s too complicated or resource-hungry. What is Causal Forecasting? That’s where causal forecasting comes into play.
SupplyChain Planners Analogous to Secretarial Pools? In my forty years of studying supplychain planning, the groups became larger, but with questionable results. We sidestep vacuous terms like digital supplychain and attempt to measure and redefine flows based the redefinition of planning. The So What?
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.
Makers of weight loss drugs are looking out a big picture window of patented opportunity right now, but this rosy view is blocked by supplychain challenges. What role can supplychain play in preventing stockouts? So how can supplychain orchestration help?
Because of service disruptions – not being able to buy toilet paper, for example – the supplychain has been more discussed than ever before. It was also a very, very tough year for supplychain professionals working in the grocery supplychain. Benchmarking the forecasting process is difficult.
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