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For example, if I improve the cost structure in transportation, procurement, manufacturing and sales independently, what decision support framework decides the right trade-offs? In today’s architectures and functional metrics, value optimization does not exist. You are right. This work was expensive. This is an opportunity.
From balancing cost-efficiency with ethical sourcing to enhancing transparency and integrating corporate social responsibility (CSR), businesses face mounting pressure to align their operations with sustainability, technology, and energy practices. The energy sector provides a compelling example of CSR-driven compliance.
In follow-up qualitative interviews, one of the largest issues with organizational alignment was metric definition and a clear definition of supply chain excellence. For example, a cost improvement in one function could raise the costs in another. Error is error, but is it the most important metric? What Drives Value?
We’ve seen AI take over everyday tools and search engines; AI in Sourcing and Procurement is becoming a strategic tool in our kit, At Ivalua, we are helping global procurement teams integrate AI across the Source-to-Pay process, bringing automation, insight, and agility to every step. This is where AI can make a huge difference.
Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.
Patagonia serves as an excellent example of this approach, incorporating recycled materials into its products and offering repair services to minimize waste while maintaining a strong brand commitment to sustainability. Ethical sourcing is a fundamental aspect of social sustainability.
Reducing cost was the primary objective, and most operational decisionsfrom sourcing to fulfillmentreflected that mindset. Leading organizations are building supply chains that are less exposed to single points of failure, more informed by real-time data, and more able to adjust sourcing, inventory, and routing based on current conditions.
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. Many companies aim for 95% or higher, which can be a daunting task.
At a high level, procurement focuses on sourcing the goods and services an organization needs, while supply chain management oversees the broader flow of those goods, from raw materials to end customers. Supply Chain Management (SCM) involves orchestrating a product’s or service’s entire lifecycle, from sourcing and production to delivery.
AI is reshaping the way organizations source, manage suppliers, and drive value today. AI agents offer a smarter, faster way to manage sourcing, risk, and spend across the entire procurement lifecycle. For example, agentic AI can analyze supplier data, evaluate contracts, manage purchase orders, or recommend sourcing strategies.
AI is reshaping the way organizations source, manage suppliers, and drive value today. AI agents offer a smarter, faster way to manage sourcing, risk, and spend across the entire procurement lifecycle. For example, agentic AI can analyze supplier data, evaluate contracts, manage purchase orders, or recommend sourcing strategies.
This blog offers a clear, practical overview of what spend analysis is, how it supports strategic sourcing, and why it matters for both direct and indirect procurement. We’ll walk through key benefits, types of spend analysis, steps to get started, and metrics to track—backed by lessons learned from real-world implementations.
We consistently see that companies focused on functional excellence–a focus within a functional silo like manufacturing, transportation or distribution– or singular metrics– like inventory or costs– underperform against their peer groups. Let me give you example. Reward teams for cross-functional metrics.
What Celanese has accomplished is the single best example ARC is aware of employing agentic AI and copilots at scale. They prepare equipment for maintenance, do isolation (disconnect a piece of equipment from the flow of chemicals by closing valves), look at quality or reliability metrics, and do rounds. Celanese is an exception.
At each company, there is a relationship between the metrics of growth, margin, inventory, customer service, and asset strategy. For the purpose of this article, I will use Return on Invested Capital (ROIC) as the proxy metric to discuss asset utilization.) Let’s take P&G as an example. A Case Study. My learning?
A disruption at any point in the global logistics network including the average of 12 touch points from shipment packaging to final delivery can prove disastrous for profits, service levels, customer loyalty, and other key metrics. With the global e-commerce market predicted to reach $8.1
We’ll examine the key components of efficient supply chains, explore essential performance metrics, and uncover the fundamental drivers that influence efficiency. Efficient supply chains strengthen collaborative relationships through automated communication systems and shared performance metrics.
Of the professionals surveyed, 59% saw the gap between procurement/sourcing and supply chain to be a major disconnect, and the most pressing pain point. For example, one of the key decisions that a manufacturer needs to make is should they continue to buy goods from one of their suppliers. Networks and Sourcing.
In this final blog on agility and why you should consider becoming an agilist to survive the new completion (of the continuous mention) of the application of enterprise decision management systems (EDMS) from Taylor and Raden cited in the first blog, I turn to the metric of agility and a new ROI metric of decision yield. The Takeaway.
How to establish a category management system Examples of categories and strategies Why category management in procurement matters How Precoro can help you establish a category management system Frequently asked questions about category management services What is category management? Read on to learn: What is category management?
For example, Lennox Residential , a leading HVAC systems provider, leverages advanced ML algorithms and cluster analysis to identify and track seasonality patterns across its diverse product line. However, todays business environment often involves complex, overlapping seasonal patterns affected by multiple variables.
While there are many types of visibility (see Figure 1), the most common use case is either sourcing or transportation visibility. For example, the goal is not track truck location, but to provide insights on location in context with a delivery appointment. In Table 1, I share examples. Example of Social Sentiment Analysis.
Digital procurement streamlines workflows and unifies data, enabling faster sourcing, better collaboration, and improved accuracy. Digital procurement is the use of digital technologies to enhance, automate, and optimize procurement processes across the entire source-to-pay (S2P) lifecycle.
The use of orbit charts allowed me to see the patterns of performance at the intersection of metrics over time. This data source synchronizes corporate reporting across global markets while tracking restatements, name changes, and currency shifts.) As an aside, I do not think that Lenovo is an example of a supply chain excellence.
For example, consider the challenges in the automotive industry that stem from the supply chain issue in chip manufacturing. Tracking the Metrics that Matter. While Ardent expects Procurement to rise to and tackle these challenges, tracking the metrics that matter will help them stay focused for full recovery. Inflation Metrics.
As regulations across the globe strengthen, the pressure to collect, report, and organize emission-related metrics has never been higher. Across the globe, requirements for stricter reporting on complex metrics are increasing. If the resources and software are applicable, automate as much of your data collection as possible.
In this guide, we’ll explore what cost efficiency is, examples, and best practices on how cost efficiency can make your company more competitive and profitable in today's fast-paced economy. Example of cost efficiency A TechRepair Company operates two service plans: Plan A costs $6,000 monthly and services 1,200 devices.
But before you start measuring everything in sight – and a few things not in sight – start with a set of thoughtful intentions and questions that will guide you to the right set of metrics and the right set of expectations. For example: Verify your strategy. What are your long-term goals? That’s a trap.
The Power of Source-to-Pay Digital Transformation To put it briefly, source-to-pay refers to the entire process that starts with finding, negotiating with, and contracting the suppliers of materials, goods and services, and culminates in the final payment for those items. Who Should Prioritize an S2P Digital Transformation?
Strategic Sourcing Simplified: Best Practices for Maximizing Value Strategic sourcing goes beyond cost savings its about making informed decisions that drive long-term value. Now well dive into best practices in these critical areas to ensure a more effective and resilient sourcing strategy. Automation can also play a role here.
For example, a student might work on a project that involves analyzing sales data to predict future product demand, thereby learning how to adjust procurement strategies accordingly. Similarly, performance metrics courses can guide learners in establishing key performance indicators (KPIs) to monitor and improve supply chain efficiency.
For example, real-time planning, end-to-end planning, control tower, integrated business planning (IBP), and digital brain are oxymorons while discussions on innovation bounded by a required ROI is a juxtaposition. .” Current planning taxonomies do not plan across make, source, and deliver answers bi-directionally.
Here we share the answers to the questions that we get the most often about this research: What is the source of data? We placed them in the industry that they were the most like, e.g., the primary source of revenue. We find that companies will establish metric targets in isolation and throw the supply chain out of balance.
Aligned Metrics. To ensure the management of the complex system, the metrics of operating margin, inventory turns, ROIC, customer service, revenue, and forecast accuracy need to be managed together as a non-linear system. Take General Mills and Kellogg an example. Supply Chain Design. Did I miss anything?
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. For example, below are 5 reasons why procurement folks should attend S&OP Reviews. Click here to learn more and register today!
Digital twins bring enterprise-level visibility to network planning, allowing organizations to simulate new fulfillment strategies, evaluate sourcing risks, and prepare contingency plans that support both customer experience and bottom-line resilience. Heres how the concept plays out in real-world logistics: 1.
Let me give you an example: Last week, I gave a presentation at a global supply chain team meeting of 175 professionals. The team was organized around the functional silos of source, make and deliver. Today, 60% of sourcing organizations and 45% of manufacturing organizations report through the supply chain organization.”
A KPI is a practical and objective measurement of progress, either: Towards a predetermined goal, or Against a required standard of performance It might help to think of a KPI as something like an instrument on a car dashboarda speedometer, for example. Why Are KPIs Important?
It is important to benchmark forecast accuracy and similar supply chain metrics against your peers. Increasingly, forecasts are being improved by leveraging outside data sources rather than merely relying on a company’s internal historical shipment data. Instead of monthly forecasts, for example, a weekly forecast can improve agility.
The bullwhip effect is one example of this disruptive effect, when small changes in demand cause huge demand spikes downstream. Table 1 describes a few examples of these types of risks. Metrics such as lead-times, forecast accuracy, inventory levels, and service are used to measure operational risks.
As product flows rapidly shifted and hard baked assumptions about lead times and sourcing locations were put to test, users across many organizations bypassed their planning systems and turned to excel sheets, internal data science teams or non-traditional supply chain vendors who could deliver AI based solutions at a faster turn.
Unlike traditional tools that often operate in isolation or rely on rigid workflows, AI connects the dots between disparate data sources, providing a more comprehensive view of procurement activities. AI in procurement refers to using advanced technologies to make procurement processes faster, more efficient, and data-driven.
Take the General Mills and Kellogg example in figure 1. Closing the gaps happens when there are aligned metrics, clarity of vision and aligned planning processes. It combines decisions across sell, deliver, make and source processes to drive value based outcomes. Metrics Alignment. There is no substitute for leadership.
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