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Machine learning (ML)a specialized field within artificial intelligence (AI)is revolutionizing demandplanning and supply chain management. According to McKinsey , organizations implementing AI-driven demand forecasting solutions can reduce forecast errors by 30% to 50%.
Given your expertise, I’d love to hear what alternatives you recommend for better demand forecasting and real-time visibility beyond what’s commonly adopted today.” I know that your primary focus is procurement. Over the last two years, I actively engaged technologists and business leaders to redefine demandplanning.
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. Error is error, but is it the most important metric? My answer is no.
Procurement and supply chain management are often used interchangeably—but in practice, the lines between them can blur in ways that create real friction. Misaligned priorities, siloed systems, and unclear ownership can directly impact key performance indicators like cost savings percentage and procurement cycle time.
In May 2025, one in seven home-purchase agreements fell through resulting in the cancellation of 56,000 purchase contracts. Supply chain was defined in 1982 as interoperability between source, make and deliver. Ask a procurement or transportation professional if they have a good demand signal and expect a laugh.
Lower-income consumers and those using food assistance programs care the most about food waste as a purchase driver—again, suggesting it is a response to higher prices.” The same “If” statement was repeated for a host of financial and operational metrics.
Understanding how your Procurement and Supply Chain KPIs are performing isn’t just a nice-to-have; it’s essential for survival and growth. Is inventory bloating your costs? Why You Need Visibility of Supply Chain and Procurement KPIs? Running procurement and supply chain without metrics is like driving blindfolded.
Primed for transactional efficiency, these legacy architectures based on relational databases drive order-to-cash and procure-to-pay efficiencies. Current Familiarity with Analytic Concepts (Fall 2022 Snapshot) Preamble Supply chain leaders love their rows and columns. I term this our data jail. The focus of the Gartner Magic Quadrant.)
There is so much data, and to make use of it, we need to use data mining and analytics to drive meaningful insights that can be put to some good use. ABC analysis creates product segments by grouping products with similar sales volume or purchase frequency to enable category managers to focus on what matters most.
Businesses often use it in retail and purchasing. Category management isn’t just another procurement trend. It’s a way for companies to group similar goods or services (like IT infrastructure, facilities, or raw materials) and manage them holistically instead of handling every purchase in isolation.
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. . This includes internal and external data sources.
What Contractors Need to Streamline Procurement in 2025 By Ian Summers (pictured) Content Writer 111 Views You’re on-site before dawn, the framing crew’s ready, but the steel shipment’s stuck in limbo, the invoice isn’t approved, and your project management app just pinged you for the fourth time.
That’s why staying on top of the latest supply chain planning trends is so important – they can make all the difference when it comes to staying competitive, reducing costs, and meeting your customers’ needs. Here are some highlights from these trends in 2023 and implications on supply chain planning.
How Intake and Orchestration AI Are Reshaping Procurement If youve been paying attention to technology developments in procurement, youve probably come across the term Intake & Orchestration. These could be service requests, inquiries, demandplanning, or purchase needs. So, whats it all about?
The days of simply using statistical methods to forecast future demand using past sales history are fading. Computing power and storage capacity have grown exponentially, while the cost of both have plummeted. More and better data has turned demandanalytics into mainstream reality. DemandPlanning.
Multiple manufacturers, multiple relationships, multiple distribution models, multiple contracts. These complexities, layered with globalization, shorter product life cycles , and associated volatility in demandplanning, has produced the most dynamic supply chain landscape we have ever experienced.
The ability of an organization to deliver reliable and consistent results for revenue, margin, customer service, and quality in the face of demand and supply variability. Of the twenty companies interviewed, only one can answer the question, “Do you have a good inventory plan?” I cannot get a clear answer. Yes, I think so.
Procurement has never played such an important role in the increasingly globalised economy. Has procurement fundamentally changed itself in the past 10 years? Strategic Procurement can mean totally different things in different industries and sectors. The time when Procurement was almost a synonym to Purchasing has long gone.
Here are key strategies to take you there: Utilizing technology platforms : Next-generation source-to-pay (S2P) platforms should offer integrated—not isolated or siloed—supplier management capabilities to make supplier information available across all business functions.
Bowman, SupplyChainBrain The European Union is on the verge of rolling out a reporting regulation that promises to have a huge impact on businesses selling into the region. The DPP “represents a significant advance in product transparency and sustainability,” according to an EU report published in September of 2024. “As
We need planning platforms to keep up with all the changes. This means we need more agile, flexible, and scalable planning platforms to process and consolidate new data sources, drive insights using advanced analytics such as AI/ML to drive autonomous decisions, and expand collaboration within and outside our organizations.
I would like for us to move past the conventional view of sourcing strategies and globalization to drive improvements to the supply chain in a variable world. The populist narrative of sourcing globalization is only part of the story. This is especially true in the world of demand management. Let me explain. Forecastability.
Depending on the nature of your business, your trading partners or your location, this could include procurement strategies, demandplanning, logistics, and global trade management among others. Mastering Direct Spend Management Procurement teams generally do not report to the chief supply chain officer.
Luckily, supply chain analytics is here to help! By harnessing the power of data and analytics, companies can uncover valuable insights into their supply chain processes, pinpoint areas in need of improvement, and make informed decisions that can boost their bottom line. Key Takeaways What is Supply Chain Analytics?
Striking the perfect balance between available stock and cost efficiency is key. By leveraging analytics and key performance indicators (KPIs), manufacturers can optimize inventory, reduce waste, and boost profitability. Get it wrong, and you risk financial strain and fulfillment headaches. Why is GMROI important?
Many different terms, such as less-than-truckload (LTL), procurement and transportation management, describe supply chain management processes. Although procurement logistics might sound like it involves the purchasing of manufactured products , it is much more involved. The Definition of Procurement Logistics.
ThroughPut AI: Best for supply chain analytics and decision intelligence WATCH ON-DEMAND THROUGHPUT AI DEMO With Artificial Intelligence (AI) and Machine Learning (ML), a very powerful force comes into play in your supply chain decision-making processes with ThroughPut AI.
Phone * Company * Job Title * Zip Code * Source Asset Source Download ID. Plan to review your KPIs monthly during the first three to four months and cull out the bad ones quickly. Then plan on a quarterly review for the remainder of the year. 2 Identify and get access to the right data sources. Featured Download.
Global Beverage manufacturer reduced forecast error by 40%45%, reduced inventory level by 20%25%, and planners time release by 30% from demand sensing. Global CPG manufacturer achieved 85% touchless purchase order adherence by improving master data, planning parameters in the system, and loss-free analysis.
Through Logility, Kelly-Moore has moved beyond relying solely on shipment history to purchase raw materials by forging a deeper connection between its master production schedule and procurement decision-making. Kelly-Moore achieved 20% less overstock and avoided $1 million in purchase orders after reallocating sundries.
For Greater Product Performance Visibility and Improved Sales & DemandPlanning Consumer Packaged Goods (CPG) manufacturers operate in an increasingly competitive environment, where the ability to access and analyze timely, accurate data can make or break a company’s success. Their report formats may be inconsistent.
Accurate forecasts help minimize inventory, maximize production efficiency, streamline purchasing, optimize distribution, maximize customer service, ensure confidence in company financial projections. Data is everywhere and the availability of data that can be used to enhance demand forecasts continues to grow exponentially.
The Hidden Cost of Lost Uptime According to a Siemens report , in 2022 alone, unplanned downtime cost Fortune Global 500 companies $1.5 Lost Sales: A Preventable Loss of Potential Revenue Harvard Business Review reports that stockouts cost retailers $1 trillion yearly, with most purchases abandoned when items are unavailable.
The network senses, translates, and orchestrates market changes (buy and sell-side markets) bi-directionally with near-real time data to align sell, deliver, make and sourcing organizations outside-in. Thoma Bravo purchased Elemica in June 2016. E2open, following a rough 2014, was purchased by Insight Venture Partners in 2015.
A rise in nearshoring and away from single-source dependency The pandemic was a wake-up call that exposed the fragility of globally interconnected supply chains and the risks of over-reliance on distant suppliers and single-source strategies. 3 long term changes to the supply chain 1.
The days of simply using statistical methods to forecast future demand using past sales history are fading. Computing power and storage capacity have grown exponentially, while the cost of both have plummeted. More and better data has turned demandanalytics into mainstream reality. DemandPlanning.
That takes a data-driven approach to forecasting, procurement and distribution. How Systems, Forecasting, and Planning Help Manufacturers “Win the Super Bowl So, how can manufacturers prepare for this massive event? As mentioned, the secret is agility, resilience, and efficiencyoptimizing your people, processes and systems.
So far, we’ve seen how data is an integral part of the demandplanning cycle. However, completing this task becomes complex when multiple systems store demandplanning data. It’s fair to say that your information is likely not unified in one system offering a single source of truth.
By applying technologies like Generative AI, organizations will be able to drive efficiencies in the way we work that will create trillions of dollars in economic value, by reducing working capital, increasing agility, and reducing waste, while making better decisions based on data and analytics, not on gut feel. Should We ?
For example, an F&B business that supplies perishable goods knows that these goods have a limited shelf life and therefore must accurately project how much to purchase at once. If the business purchases too much, it risks overstocking goods that cannot be sold after they exceed their shelf life. Time-phased replenishment planning.
This reality is compelling F&B companies to rethink their strategies and approach to supply chain optimization and demandplanning. Staying competitive in this intense landscape demands finely tuned operations that are highly efficient and effective – from product concept to customer consumption.
” At the other end of the continuum is the argument that “ Forecast error is the most important metric to improve.” I do believe in demandplanning, but most companies overstate forecast improvements. Many companies implemented demand management processes as a technology project. Everyone has a bias.
In the period of 2005-2010 I created research on the topic of demand-driven value networks as an analyst at AMR Research. This ended when Gartner purchased AMR Research in 2010. Since I do not believe in the Gartner business model, I left. Measure and understand the impact on demand latency. 7) Cost-to-Serve.
So, the promise of using statistical algorithms, forecasting and predictiveanalytics is now added to the list of a company’s number one priorities. Answering the questions that the business has may require gathering additional data, purchasing data from third parties, or reformatting existing data sources.
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