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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.
According to research by Ernst & Young LLP, the global consulting firm, as the Covid crisis recedes, supplychain executives are losing the strategic gains they made with their C-suite counterparts. 28% of supplychain leaders cite cost reduction as one of the top three priorities currently.
Many global multinationals accelerated their investments in digitizing data during the pandemic. According to Colin Masson, a director of research at ARC Advisory Group, the opportunity to mine these vast quantities of data to achieve business value is “NOW.” Mr. Masson leads ARC’s research on industrial AI and data fabrics.
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. What Drives Value?
Supplychain sustainability is increasingly important for companies facing expectations from investors, regulators, customers, and employees. Integrating ESG across supplychains presents clear operational and strategic challenges that require focused attention. Data collection and verification remain areas of concern.
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.
If your systems are disjointed and you lack the ability to analyze masses of data in real time, you will struggle to deliver on-time, in-full and your reputation and revenue will be negatively impacted. This blog is Part 1 in our Optimizing SupplyChain Performance with Unified Data series, with a focus on optimizing fulfillment.
These sensors capture precise data on factors like location, speed, fuel usage, and driver behavior, transforming fleet management from reactive to data-driven decision-making. The IoT data allows managers to detect inefficiencies, predict maintenance needs, and even assess driver performance.
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. This doesnt eliminate those systems, it organizes the data they produce.
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. Functional metrics align to bonus incentives, but progress in supplychains remains evasive.
The big data architectures are often present in the current “AI offerings.” The supplychain planner role is the most dissatisfied of any employee in the supplychain, but most focus on improving engines using AI into conventional work processes. The business network market is in need of innovation.)
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.
Sustainability isnt just a corporate goal anymoreits a supplychain requirement. Schneider Electrics new Environmental Data Program gives logistics professionals unprecedented access to carbon and sustainability metrics, covering over 70% of its product turnover. Read the full article on ARC Advisory Group.
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.
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.
Ever feel like your supplychain is a tangled mess of spreadsheets, frantic phone calls, and last-minute scrambles? That’s where data analytics comes in. It’s the key to transforming your supplychain from a source of frustration into a well-oiled, profit-generating machine. You’re not alone.
It is crucial to assess the organization’s technological infrastructure, supplychain processes, and compliance frameworks to ensure they are aligned with DPP requirements. Organizations must also evaluate the quality, integrity, and security of their data to ensure it is reliable enough for DPP purposes.
As supplychains become more impacted by market disruptions and unpredictable events, they’re also becoming more critical to a company’s customer experience levels and bottom line. Why Monitor Transportation Metrics. Why Monitor Transportation Metrics. Actionable data is one of the most critical business drivers.
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. This shift reflects a broader transition toward data-driven, performance-based management of freight networks.
This year, a recurring theme that I saw was about using supplychaindata to improve the customer experience across the entire value chain. Here are the ones that stood out to me, especially as it relates to supplychaindata. The single data cloud runs on Snowflake, one of Blue Yonder’s partners.
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 global supplychain is built on three assumptions: rational government policy, availability of reasonably priced logistics, and low variability. In March 2023, the Global SupplyChain Pressure Index fell to the lowest level since November 2008. Over the past three years, supplychain cycles shifted.
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. Master Data Management Managers Move to Pattern Recognition Experts.
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. It will not be over soon.
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.
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.
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?
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.
Drip Big Data. The Connected SupplyChain. Drip Digital SupplyChain. Autonomous SupplyChain Planning. Self-Healing SupplyChains. Touchless SupplyChains. The most efficient supplychain (in terms of lowest cost) is not the most effective. Industry 4.0.
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.
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. With the global e-commerce market predicted to reach $8.1 billion to $23.07
Shippers, brokers, carriers, news organizations and industry analysts rely on DAT for trends and data insights based on a database of $150 billion in annual market transactions. Real-time Market Insights: DAT provides real-time data on spot market rates, capacity availability, and lane-specific trends, enabling informed decision-making.
Pattern recognition is the ability to discern patterns in data and use the insights for further analysis. Wikipedia In 2014, I was exploring methods to publish what is now the SupplyChains To Admire report. The use of orbit charts allowed me to see the patterns of performance at the intersection of metrics over time.
Advanced Forecasting and AI Evolution With ongoing geopolitical disruptions and supplychain volatility, the need for responsive and sophisticated forecasting capabilities has never been more critical. Forecasting has evolved into a sophisticated science, combining historical data, real-time market signals, and predictive analytics.
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.
Samuel Parker and Joe Lynch discuss DAT iQ: the metrics that matter. Shippers, brokers, carriers, news organizations and industry analysts rely on DAT for trends and data insights based on a database of $150 billion in annual market transactions. Source capacity with precision using supply and demand metrics and forecasts.
As regulations across the globe strengthen, the pressure to collect, report, and organize emission-related metrics has never been higher. This added responsibility for companies will have lasting effects on business operations, corporate partnerships, supplychain logistics, compliance requirements, and data integrity.
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.
Today, we published The SupplyChains to Admire for 2023. SupplyChains to Admire Winners 2023 Examine Your Own Paradigm. Most supplychain leaders are stuck in their own paradigms. As an old gal, with over forty-years of supplychain experience, writing this report for ten years taught me many lessons.
Joshua is dedicated to helping eCommerce brands optimize their supplychains by offering premium fulfillment services. Offering comprehensive solutions, including warehousing, order fulfillment, and inventory management, Launch Fulfillment helps eCommerce brands streamline their supplychains.
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.
billion rate data points monthly to provide the most comprehensive view of the market, helping you identify savings opportunities and make data-driven decisions. Our platform can be deployed alongside your current solutions, providing immediate value without disrupting established workflows.
In a major advancement for global supplychain technology, project44 has launched Movement, a comprehensive Decision Intelligence Platform that transforms how businesses manage their supplychains. Project44 has spent years painstakingly stitching together a web of APIs connecting thousands of supplychain participants.
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