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I laugh when business leaders tell me that they are going to replace their current supply chain planning technologies with “AI.” Each supply chain planning technology at the end of 2024, went through disruption–change in CEO, business model shift, layoffs, re-platforming and acquisitions. You are right.
In follow-up qualitative interviews, one of the largest issues with organizational alignment was metric definition and a clear definition of supply chain excellence. In my post Mea Culpa, I reference my work with the Gartner Supply Chain Hierarchy of Metrics. ” Let’s face it all supply chains have error.
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.
Venture capitalists are high on Artificial Intelligence (AI), and over-exuberant professors with shiny new models are jockeying into position to get rich. Most of the business networks were hollowed out by venture capitalists or purchased by opportunists. 80% of the data that surrounds the supply chain is not used.
Machine learning (ML)a specialized field within artificial intelligence (AI)is revolutionizing demand planning and supply chain management. According to McKinsey , organizations implementing AI-driven demand forecasting solutions can reduce forecast errors by 30% to 50%.
As supply chains become more interconnected and risks more dynamic, traditional procurement tools fall short. AI agents offer a smarter, faster way to manage sourcing, risk, and spend across the entire procurement lifecycle. What’s the technology behind autonomous procurement agents? You may also have heard of Agentic AI.
As supply chains become more interconnected and risks more dynamic, traditional procurement tools fall short. AI agents offer a smarter, faster way to manage sourcing, risk, and spend across the entire procurement lifecycle. What’s the technology behind autonomous procurement agents? You may also have heard of Agentic AI.
Over the years, working for and with numerous manufacturing companies, I’ve seen many supply chain practices that cost companies money. Reason #3 Not having end-to-end supply chain visibility. Reason #4 Making key decisions by modelling the supply chain in Excel. Reason #8 Keeping supply chain information in silos.
Enterprise procurement teams face growing pressure to deliver strategic value – managing supplier risk, ensuring compliance, and supporting sustainability – all without sacrificing speed or control. This blog explores the most common challenges in digital procurement and the capabilities that matter most.
The Covid-19 pandemic tested the global supply chain. Like riding a bumpy road, the supply chain leader is riding the ups and downs of changing market conditions facing greater variability day-to-day. Here, based on interviews with supply chain leaders, I share lessons learned. The Failure of Existing Demand Planning Solutions.
Five years ago, we all thought the COVID-19 pandemic resulted in the most disrupted supply chain landscape we would ever see. Since then, supply chain disruptions and volatility have only increased. With the global e-commerce market predicted to reach $8.1 We were wrong. The Ukraine-Russia conflict is ongoing. billion to $23.07
Supply chain 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.
Returns Management and Integration With 35% of online purchases being returned, predominantly to physical stores, retailers are grappling with the ripple effects on inventory management. Early adopters of these integrated platforms report significant improvements in inventory turnover and reduction in stockouts.
He had a load full of cotton bales, and while idling away hours at a shipyard watching stevedores load other cargo onto ships he dreamed up containers that transformed global supply chains. Containerization eventually reduced shipping and loading costs by at least 75%. The myth of the “perfect plan”.
Supply chain excellence is easier to say than to explain. Executive teams strive to drive improvement in supply chain results; yet, sadly, only four percent of public companies succeed. The supply chain is a complex non-linear system. Understanding this relationship requires modeling. The reason? A Case Study.
Traditionally, procurement has been a process weighed down by manual tasks, fragmented systems, and endless paperwork. Today, procurement is undergoing a transformation. While procurement teams have long worked to add strategic value, Artificial Intelligence (AI) amplifies their impact.
Strategic sourcing and innovative solutions are often viewed as two distinct procurement tools, but they should not be seen in isolation. Think of them as apples and gearseach essential and effective on its own, yet when combined; they create a formidable mechanism for achieving procurement excellence.
In today’s dynamic and unpredictable business environment, companies face various challenges such as changing consumer demands, global uncertainty, and the impact of natural and man-made events. This approach results in inefficiencies, higher costs, and missed opportunities.
When reviewing strategy decks for supply chain teams, I often see statements like “move from a functional-silo’d focus to a drive a more holistic response.” ” Or “push a shift from a focus on cost to drive value?” Functional Metrics. ” Sound familiar? This gap grew over the last decade.
But between rising costs, complex logistics, and the constant struggle to optimize space and labor, staying ahead can feel like an uphill battle. That’s where warehouse optimization comes in. Here’s what you can expect: A clear definition of warehouse optimization and its core components. Ready to get started?
In part 1 of my blog on Planning the Value Chain and Decision Making in Times of Disruption, the focus was on the ability to react and execute amidst the unpredictability of demand. Part 2 in the series explores the “analyticalscenario exercise” and how decisions based on certain scenarios heavily impact each aspect of the value chain.
For most CPOs and CFOs, deciding on the right purchasing setup — centralized or decentralized — is no small task. Each model has its perks, and choosing the best fit can feel like walking a tightrope. Keep reading to learn: What is centralized purchasing? What is centralized purchasing?
Digital commerce efficiently requires the digitalization of many customer-facing operations and sourcing and procurement. For businesses of all sizes, the digital transformation of supply chain planning became the most important initiative. . Accurate and timely reconciliation of purchase orders with receipts.
The consulting team pitches a theme–vision of supply chain best practices, big data analytics, or demand-driven value networks– to the executive team, and a new project is initiated. Question 1: What drives a Successful Implementation of Supply Chain Planning? Supply chain planning is now on its third decade.
In the height of the e-commerce craze, the marketplace offerings started with a focus on e-procurement. The widely-held view was that the e-procurement market would fuel the next generation of marketplace applications. Today, the multi-tier capabilities for supply chain management are coming from the born-again marketplaces.
Consumers are ever more conscious of value, sensitive to health and environmental issues – especially after the COVID pandemic, each demanding more options for their money. End-to-end supply chain visibility, planning, and execution support software are critical in agile supply chain performance.
Chances are, if you’re in marketing, sales, or one of the more technical aspects of business, you’ve used predictiveanalytics in some part of your job. But your company doesn’t have to be a retail giant to use predictiveanalytics. using predictiveanalytics?built PredictiveAnalytics in a Nutshell.
In an age where supply chains face persistent disruptionsfrom pandemics and trade wars to cyberattacks and climate volatilityresilience is no longer optional. This shift has pushed supply chain leadership to pivot from reactive management to proactive strategy built on data. Analytics allows organizations to move beyond intuition.
While consultants know the answers (or believe they do), I believe my goal as a research analyst is to unearth new questions that should be asked (and answered together openly in the supply chain community) to improve value. I see a preponderance of reports and white papers that have lots of pages but say little. Back to John.
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. Greed for more data.
Today, we published The Supply Chains to Admire for 2023. Supply Chains to Admire Winners 2023 Examine Your Own Paradigm. Most supply chain leaders are stuck in their own paradigms. As an old gal, with over forty-years of supply chain experience, writing this report for ten years taught me many lessons. I admit it.
Analytics and business intelligence (BI) are no longer optionaltheyre essential. They integrate, align, and activate data across the business to drive better, faster decisions unlike legacy reporting tools that can’t. Flexible Delivery Options Interactive dashboards, scheduled reports, alerts, mobile access, and more.
Last week in the middle of a presentation, a supply chain leader made the statement, “We have solved the issues in supply through better optimization and use of data. The issue is demand. Many supply chain leaders are so convinced they know the answers that they have stopped listening and learning.
Introduction Gardner, (1954) and Huntzinger, (2007) define Purchase price variance (PPV) as a metric used to measure the effectiveness of cost-saving efforts by calculating the difference between the planned cost (standard pricing) allocated for purchasing activities and the actual cost incurred.
Instead of relying solely on a single, monolithic AI model (based on a massive large language model), a company can orchestrate a team of specialized agents, each leveraging the best AI or mathematical technique for its specific task. The chemical industry has a complex supply chain. Agentic allows for much greater flexibility.
BOSTON, February 16, 2022 : ToolsGroup , a global leader in supply chain planning and optimization software, has partnered with Planalytics to integrate their weather-driven demand (WDD) analytics with ToolsGroup’s retail planning solutions, enabling customers to isolate, measure, and manage the influence of weather on their businesses.
At the Supply Chain Global Summit 2018 , Francois discussed the impact of digitalization, Industry 4.0, and L’Oréal’s approach to business that has allowed the company to continuously rank as a Supply Chains to Admire winner for four consecutive years. Read more to understand the details on the Supply Chain Index ,).
My dad is the VP of our household’s grocery supply chain. To keep customers like my dad satisfied, RGD and Quick-commerce companies need to invest in new technologies to optimize the supply chain and logistics operations. Inventory Optimization. Supply Chain Digitalization & Autonomous Planning.
“We live in a world where supply chains, not companies, compete for market dominance. But companies often have diverging incentives and interests from their supply chain partners, so when they independently strive to optimize their individual objectives, the expected result can be compromised. ”.
When making discretionary purchases, I could look at my projection to make sure that if I made that purchase, I would have enough money in the bank, not only now, but at the end of the month when my mortgage and car loan came out. Today’s supply chain professionals need a crystal ball, too. For me, this was game changing!
In recent years, the overall state of Procurement has been bolstered by increased proficiency, expanding engagement, and a growing direct impact on operations. And they’re not the only ones—other department heads are also increasingly budget-conscious, creating a new opportunity to partner with procurement for better budget management.
Is Apple Supply Chain Really the No. Surprisingly, IT research firm Gartner ranks Apple Supply Chain as the best supply chain in the world for 4 years in a row. But, is Apples Supply Chain really the number 1? 1) Apples Supply Chain Model. Supply Chain Model of Apple Inc. A Case Study.
At that time, manufacturers talked about customer-centric supply chains, but were afraid to aggressively adopt ecommerce strategies. When your phone rings, and you and your supply chain team is called to the corporate office to talk about the expansion of your ecommerce strategy for 2015, here are my recommendations: 1) Embrace the Each.
Two months before COVID made headlines in the US, nobody was forecasting the dramatic downturn in demand. If a recession hits, demand will decrease. How much will demand be impacted? When companies talk about improving their forecasting, they are most often referring to demand forecasting. When will the recession hit?
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