This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
From sourcing and bid evaluation to warehouse slotting and dynamic routing, AI tools support faster and more consistent outcomes by processing large volumes of operational data and identifying patterns that human decision-makers may overlook. These capabilities are now being integrated into mainstream TMS, WMS, and ERP platforms.
Companies leaning heavily on global sourcing? Theyre feeling the heat most, as sudden trade policy curveballs throw procurement plans into chaos. manufacturer I know saw their import costs jump overnight, forcing a rethink of a decade-old sourcing strategy. What Is Agile Procurement? Agile procurement is your lifeline.
They integrate AI into demand forecasting, inventory optimization, and logistics operations to improve efficiency, reduce costs, and mitigate risks. Organizations examine past sales trends, apply seasonal adjustments, and make forecasts based on historical models. Amazon is a leader in AI-driven supply chain management.
Access to Unique Process and Asset Capabilities: Some suppliers offer unique skills, technologies, or processes that are not available in-house or through other sources. Long term forecast collaboration becomes a critical requirement for manufacturers and their direct suppliers to focus on to de-risk their supply chains.
In this type of environment, traditional procurement software and manual processes are insufficient – and many procurement teams are looking to artificial intelligence (AI) for answers. Key Takeaways Understand the potential impact of AI – including Generative AI & AI Agents – in procurement.
SAP is embedding its generative Joule across the SAP Ariba source-to-pay solution portfolio to make it easier for their customers to manage routine inquiries, such as status updates, summarization, and frequently asked questions. When a procurement contract is negotiated, the buyer has planned to achieve a certain level of savings.
AI is reshaping the way organizations source, manage suppliers, and drive value today. 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.
AI is reshaping the way organizations source, manage suppliers, and drive value today. 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.
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.
The COVID-19 pandemic and ongoing geopolitical shifts demonstrated the risks of relying on single-source suppliers and minimal inventory buffers. Companies are restructuring supplier networks, adopting just-in-case (JIC) inventory models, and implementing AI-driven forecasting to anticipate and mitigate disruptions.
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.
Procurement and purchasing are often used interchangeably, but they serve distinct roles within any successful organization.While both involve acquiring goods and services, their workflows, objectives, and impact on enterprise risk management differ significantly. Procurement vs. Purchasing: What’s the Difference? What is Procurement?
Reducing cost was the primary objective, and most operational decisionsfrom sourcing to fulfillmentreflected that mindset. Sudden tariff increases can quickly make a cost-optimized procurement strategy untenable, leaving companies scrambling to adjust. Procurement is another area seeing change.
In a world of ever-growing economic uncertainty, procurement is at the heart of organizations’ aim to drive efficiency and cost savings. As more and more companies invest in S2P technology, Ivalua has commissioned a survey and report on “The State of Source-to-Pay Digitization 2025” from trusted research and advisory firm Ardent Partners.
Procurement People should learn the Sales & Operations Planning (S&OP) Process. Procurement professionals can contribute significantly to the S&OP process by providing valuable insights into supply chain dynamics, identifying potential risks, and optimizing sourcing strategies.
Enterprise procurement leaders are under more pressure than ever—juggling cost control, compliance, supplier risk, and internal complexity, all while trying to modernize outdated systems. AI, automation, and generative tools are redefining efficiency, allowing procurement teams to move from reactive to proactive decision-making.
Supply chain was defined in 1982 as interoperability between source, make and deliver. Each organization has multiple demand streams with different characteristics–forecastability, demand latency, and bias. Most companies forecast a single stream with a focus on error. Why is a reinvention needed?
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.
The waste included: Negative Forecast Value Added (FVA) in demand planning. In 85% of organizations that I work with, conventional demand planning processes increase forecast error. When we measure the bullwhip impact (in my class on outside-in process thinking), the bullwhip between manufacturing and procurement is 2-3X.
For example, if I improve the cost structure in transportation, procurement, manufacturing and sales independently, what decision support framework decides the right trade-offs? The data outcome is open source and can be used to improve project outcomes. Eleven of the thirteen industries studied are forecastable and stable over time.
In a previous post , I made a case for how the Chief Supply Chain Officer (CSCO) and Chief Procurement Officer (CPO) are smarter together. Accordingly Supply Chain and Procurement will need continuous collaboration. Such sourcing events can be in the context of direct materials or logistics capacity.
Automakers must model dual-path sourcing strategies and reintroduce buffer inventory—not just for parts, but for regulatory flexibility. Emergency tariffs have raised the landed cost of essential imports in medtech, forcing procurement teams to seek alternative (and often less validated) suppliers, which is a regulatory risk.
When tariffs hit, crucial components that were once affordable can become prohibitively expensive, forcing companies to rethink their sourcing and production strategies. Key takeaway Top challenge: Sourcing volatility driven by EV component shortages and fluctuating global tariffs.
Industry-specific content is available for processes like Source to Settle, Procure to Pay, Order to Cash, and more. Predictive and prescriptive AI addresses use cases like inventory optimization, asset health predictions, yield optimization, and financial forecasting. Key features include Multi-tier Mapping and Trace Request.
Traditionally, the definition of end-to-end supply chain planning meant: Forecasting based on order or shipment patterns. Forecast consumption into supply planning based on rules (rules-based-consumption). Translation of the demand forecast into planned orders to minimize manufacturing constraints. Is there value?
Production plans might be locked for as long as a month, regardless of how accurate the forecast was. That supply planning application needs to be integrated into an array of internal systems ERP, transportation management, warehouse management, procurement, and other applications.
The essence of the question is resilience and the ability to forecast in a variable market reliably. This gets us to the question of what is the role of the forecast?` For most, forecasting is a conundrum full of potholes, politics, and bias. When he speaks of the supply chain, he means procurement. This is his world.
Do Embrace Technology and Data : Use real-time data for demand forecasting, inventory management, and route optimization. Do Set Clear KPIs and Governance Structures : Establish transparent metrics for sales, coverage, and service levels. Regular reviews and joint business planning foster accountability and trust.
But now, it’s being activated through AI agents designed to automate sourcing, manage risk in real time, and reduce the friction thats long plagued procurement and finance functions. This move positions Coupa as the full-stack provider for planning, execution, and optimization in global sourcing. One standout moment?
If you’re evaluating procurement technology or exploring ways to drive more value from existing systems, chances are you’re looking beyond tactical fixes – you want a smarter, scalable strategy. Misaligned priorities across finance, legal, and procurement create friction that delays decision-making and reduces impact.
And even before they begin, they must realize these problems are too big for any single team—supply chain must connect with finance and procurement to treat the n-tier suppliers as an extended part of their network and become their preferred customer. By identifying these gaps, you can create sourcing events to close them.
and China, are now compelling forecasters to make adjustments, mostly to the downside. Global Trade Forecasts Global trade forecasts serve as a barometer for global supply chain activity levels. The latest April UNCAD forecast reflects the downside risk. Regarding global headline inflation, the October forecast was 4.3
Definition: Financial forecasting is a projection of the company's future financial performance based on historical data, market research, and business needs. The forecasts act as a guide, which you can use to make strategic decisions on resource allocation and define clear, attainable goals.
Koganti urged the procurement audience to look for whats referred to as “foresight function” in planning tools, which is capable of enhancing data analysis, scenario generation and trend identification , allowing for more informed and proactive decision-making, albeit with human oversight.
Don’t run a selection process through procurement or finance. For example, currently, I am surprised on the shifts on forecastability (many companies struggle with the shifts in the market and the decrease in forecastability). Source: Horse for Courses definition Oxford Dictionary Listen and learn. Next Steps?
What Is Strategic Sourcing? A Complete Guide Strategic sourcing is a data-driven approach to securing the best value for your organization from its strategic suppliers. It is called strategic because it replaces traditional ad hoc approaches to sourcing, which were almost entirely focused on cost savings, item by item.
Assumptions around demand are in the center here because, unlike all other main components, they are the most difficult to forecast. Another strategy is to dedicate resources and build the best algorithm for demand forecasting. This means that pouring resources into better forecasting will not produce the anticipated result.
Machine Learning, a Form of Artifical Intelligence, Has Feedback Loops that Improve Forecasting. A supply chain planning model learns when the planning application takes an output, like a forecast, observes the accuracy of the output, and then updates its own model so that better outputs will occur in the future.
This technology allows businesses to unify their procurement, expense management, invoicing, payments, sourcing, contract management, and spend analysis processes and reporting. A solution needs to be trained on the right data, on data that has been ethically sourced.” The idea of community was there from the beginning.”
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. I find 80-90% of companies are degrading the forecast through traditional thinking.) Go to the source.
They write, “This includes tackling bigger issues such as compliance, supplier relationship management, risk and disruption, responsible sourcing, and transparency. “Sophisticated predictive analytics tools process sales data, seasonal trends, and market fluctuations to forecast demand accurately.
Over the past few years, supply chain and procurement pros have faced the challenge of navigating their enterprises through one disruption after another. Despite their best efforts, current events and market dynamics caught up with them, leading to issues managing their suppliers and sourcing the materials needed for their products.
Complete Source to Pay cycle and Strategic Sourcing Guide An optimized Source-to-Pay (S2P) process helps businesses enhance procurement efficiency, reduce costs, and improve supplier collaboration. What is Source-to-Pay? A well-executed S2P strategy reduces costs, increases visibility, and ensures compliance.
The same survey indicates that 50% of the retailers are unhappy with their existing technology solutions and are looking to enhance or replace them to bring more diagnostic and predictive capabilities, including: Current demand vs. forecast analysis and rebalancing. Automated forecasting processes. Network cost modeling.
We organize all of the trending information in your field so you don't have to. Join 102,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content