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
To build an outside-in model, and use new forms of analytics, we must start the discussion with the question of, “what drives value?” ” Traditional planning models optimize functional processes to improve cost and customer service. You are right. This work was expensive.
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.
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. The enterprise software company also announced a new analytics solution covering external workforce management.
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.
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.
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.
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.
Optimizing fulfillment requires a series of steps to get a shipment from its source to the end customer. These steps include sourcing and receiving inventory, storing inventory, order processing, picking and packing an order, shipping the order, and returns management. The ability to meet fulfillment goals is impeded by several issues.
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!
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.
Proactively adopting cleaner energy sources ensures alignment with these evolving regulations. The industry’s dependency on traditional energy sources necessitates an urgent shift toward cleaner alternatives. Transparent sourcing practices build trust among consumers and investors.
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. Most companies forecast a single stream with a focus on error. The ripple effects are pervasive.
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.
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.
It is crucial for organizations to understand the importance of Purchase Order collaboration to effectively manage their direct spend, optimize operations, and mitigate risks. From natural disasters to geopolitical tensions and the ongoing COVID-19 pandemic, supply chains have been significantly impacted.
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.
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?
The ability to effectively forecast demand is essential for supply chain management decisions. In fact, demand forecasts are used throughout the supply chain including supply chain design, purchasing, operations, inventory, and sales and marketing. procurement, operations, inventory, sales and marketing).
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.
Over my 25+ year supply chain career I have worked for several distribution-intensive companies and every single one of them had a focus on improving forecast accuracy. Achieving a high SKU level forecast accuracy is a top goal for supply chain planning teams regardless of industry, size, location, etc.
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. Or planned orders to purchase orders?) I encourage all to backcast to test and improve their models.
Analytics and business intelligence (BI) are no longer optionaltheyre essential. They need visibility across multiple internal systemslike ERP, CRM, and financial platformsand even external sources shared with suppliers, partners, and customers. Think of it as the central nervous system of your analytics ecosystem.
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.
I forecast that this interest will grow and the market is going to become more confusing. The discipline, first defined in 1982, includes source, make, deliver, and planning functions. One of my favorite supply chain leaders has a stack of Palantir reports in black binders on his desk. Kinaxis Purchase of Rubikloud.
Expand the “FLOW” program for logistics information sharing to forecast transportation flow. Source: Supply Chain Insights ASCM defines resilience in the SCM Supply Chain Dictionary as the ability of a supply chain to anticipate, create plans to avoid or mitigate, and to recover from disruptions to supply chain functionality.
So, the promise of using statistical algorithms, forecasting and predictiveanalytics is now added to the list of a company’s number one priorities. Here are a few steps that you will need to take to deploy your forecasts successfully. These types of models are doomed to fail. Model building.
This technology allows businesses to unify their procurement, expense management, invoicing, payments, sourcing, contract management, and spend analysis processes and reporting. This solution provides for purchase order collaboration. The idea of community was there from the beginning.” What an opportunity!”
The Ferrari Consulting and Research Group via its Supply Chain Matters blog revisits assumptions included in 2025 predictions and how they are changing with ongoing developments. and China, are now compelling forecasters to make adjustments, mostly to the downside. The latest April UNCAD forecast reflects the downside risk.
By embedding analytics across logistics, sourcing, and fulfillment, businesses gain the visibility and foresight needed to stay competitive.Analytics-driven leadership is no longer a luxury; it’s the foundation of operational survival in todays volatile business environment.
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.
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.
Experts from North Carolina State University and GEP conducted a survey on supply chain, procurement and IT leaders to determine their challenges and priorities, focusing on examining gaps in the supply chain. The study found that these leaders considered the largest gap to be between supply chain and procurement, citing it as a major issue.
Digital commerce efficiently requires the digitalization of many customer-facing operations and sourcing and procurement. Supply chain planning involves interaction with different types of information based on internal and external data sources. This includes internal and external data sources.
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.
If you’ve been in supply chain for any length time, you might be wondering what caused demand forecasting to develop so many different ‘personalities’ over the years. Demand forecasting, planning, sensing, shaping…what’s going on? More and better data has turned demand analytics into mainstream reality. Demand Forecasting.
Top 3 Procurement Technologies to Embrace in 2025 Staying ahead of key procurement technology and advancements is essential for CPOs who want to improve spend cost reduction, drive strategic value, and navigate the increasingly complex procurement landscape.
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. We need planning platforms to keep up with all the changes.
Since January, Canadians’ weekly grocery trips have become a real-time indicator for the potential impacts of tariffs as shoppers have responded to threats with a showcase of buying power, prioritizing nationally sourced and manufactured products even before a single tariff was enacted. goods were “ rapidly dropping.”
This is because most classical planning solutions lack the modeling capability and computing power to accommodate different data sources, large SKU count, and detailed constraints and contingencies to build an immediately executable plan. each with discrete plans generated typically in sequential batch runs.
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. They are more likely to shop for discounts and sales and may delay purchases of some items.
PwC reports that almost half of assets under management are held by investment firms committed to decarbonization. Similarly, UPS has strong commitments to sustainability and invests in many options, such as alternative fuel vehicles, e-cycles in dense cities, and carbon offsets for purchase with shipping. Buffering creates waste.
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