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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.
A data gateway is essentially a connective tissue across your supply chain, providing unified access to supply chain data from various sources, including enterprise systems, data feeds, data warehouses, data lakes, data marts, and business entities. Achieving these goals requires visibility into the entire supply chain.
A data gateway is essentially a connective tissue across your supply chain, providing unified access to supply chain data from various sources, including enterprise systems, data feeds, data warehouses, data lakes, data marts, and business entities. Achieving these goals requires visibility into the entire supply chain.
Companies leaning heavily on global sourcing? manufacturer I know saw their import costs jump overnight, forcing a rethink of a decade-old sourcing strategy. Consequently, when shortages emerged, they had already secured alternative sources, thereby averting a significant disruption to production. For example, U.S.-based
Did you know that implementing generative AI reduces sourcing cycle times and allows for faster decision-making across procurement operations? The paper highlights real-world examples and use cases that demonstrate generative AI's transformative effects on operational efficiency, risk management, and cost reduction.
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.
Scenario modeling, running what-if simulations to stress-test sourcing, pricing, and inventory decisions, has become a cornerstone of supply chain strategy. AI-powered orchestration platforms bridge this gap with responsive visibility into cost impacts, risk exposure, and sourcing alternatives. Lippert Components is a clear example.
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. For example, a buyer might say, “You only shipped me 800 of the 1000 products I ordered.”
An iGPU (integrated graphic processing unit) is a current example. We have all the connected planning data we get from blue Yonder, all of the product data we get from the product systems, all of the shipment information that’s coming in from the carriers, as well as risk information from Everstream and other sources.
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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.
The difference between sole source vs. single source is on the surface. In single sourcing, your company selects a single supplier exclusively , even though there are other capable suppliers on the market. In sole sourcing, you don’t have a choice —only one supplier can provide what you need. The reason?
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.
Companies must harness a wide variety of data structures and formats, spanning internal and external sources. For example, a warehouse inventory discrepancy may only matter if it affects high-priority orders or strategic customers. While the abundance of data is seen as an asset, the real question is: What do you do with it?
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.
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. An example of this is Vendor Management Inventory and Capacity Collaboration for contract manufacturing. Nari Viswanathan is Sr.
These are big data platforms that monitor news sources and assorted databases from governments, financial institutions, ESG NGOs, and other sources to detect when an adverse event has occurred or may be about to occur. That information comes from inside the platform applications and increasingly from outside sources, like Interos.
Examples are consensus forecasting, the evolution of the SCORE model, the Annual State of Logistics Report, and the Gartner Top 25. Let’s use the 2024 State of Logistics Report , “Navigating Through the Fog,” as an example. No system enables network transparency across source, make, and deliver. Demand Signals.
What Celanese has accomplished is the single best example ARC is aware of employing agentic AI and copilots at scale. trillion records from 47 data sources in the Cognite platform. It accesses, transforms, and harmonizes data from multiple sources to make it usable and actionable for various business use cases. Celanese has 2.5
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.
Segmentation enables differentiated supplier management strategies , such as focusing risk mitigation efforts on sole-source vendors or negotiating long-term value with strategic suppliers. Centralizing data enables better sourcing decisions and improves collaboration across procurement, legal, and business other units.
Below, we dive into their key takeaways and explore five practical ways to make your logistics data actionable, with insights grounded in industry trends and high-authority sources. Connect Data Sources for Actionable Insights Fragmented data sources hinder visibility.
Shippers’ end-to-end supply chain predictions are based on applying AI to OpenWeb searches, import/export records, data from sourcing platforms like ThomasNet, federal logistics records, and other data. These predictions accelerate a company’s ability to verify how its extended supply chain is constructed.
Industry-specific content is available for processes like Source to Settle, Procure to Pay, Order to Cash, and more. Examples of automatable processes include Invoice Processing, Sales Order Entry, and Customer Account Creation. Smart Import is also being leveraged to accelerate data integration from various sources.
Download Now AI Solutions for Complex Demand Planning For supply chain professionals, managing demand involves analyzing multiple signals from diverse sources. Figure: AI offers a new way for supply chain management As an example, demand sensing is particularly advantageous for industries like life sciences.
Real-World Examples Maersk (2017): A ransomware attack crippled IT systems across its global logistics network. Companies with dual sourcing and buffer inventory got back on track faster. Recovery required offline backups and manual workarounds, highlighting the value of tested, non-digital contingency plans.
Segmentation enables differentiated supplier management strategies , such as focusing risk mitigation efforts on sole-source vendors or negotiating long-term value with strategic suppliers. Centralizing data enables better sourcing decisions and improves collaboration across procurement, legal, and business other units.
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.
Strategic Sourcing Success: Best Practices and Key Strategies Of course, there are many definition s of source-to-pay but put simply, strategic sourcing is a data-driven approach to securing the best value for your organization from its strategic suppliers. How Has Strategic Sourcing Evolved?
E-procurement is a digital process spanning the entire procurement lifecycle, from sourcing and contracting to ordering, invoicing, and payment. E-procurement goes beyond digital purchasing processes, connecting sourcing, contracting, ordering, and invoicing in a single system. See how e-procurement transforms sourcing to payment.
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.
Companies that previously prioritized cost-cutting and centralized sourcing quickly found themselves exposed to serious production and distribution risks. In response, many organizations have shifted toward decentralized and regionalized supply chain models, distributing production and sourcing across multiple regions.
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. When done right, spend analysis enables cost savings, supplier optimization, risk reduction, and more strategic sourcing decisions.
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. Through interactive modules, students can learn to use analytical software such as Excel, SQL, and specialized supply chain management tools.
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.
Table of Contents ** Minutes What is product sourcing? Where can I source products from? This makes it essential that buyers understand where they are sourcing their products from and how that ultimately affects their brand. What is product sourcing? Where can I source products from?
Below are the individual web links and prime takeaway messages from each of our prior postings: Part One : Michael observed that standard sourcing solutions struggle to support direct materials sourcing because of specific challenges in legacy software design.
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?
In this blog post, we will explore the key differences and challenges between direct and indirect procurement, sourcing strategies that can be employed, and examine how technology can modernize these procurement processes. What Is Direct Procurement and How Does It Work? It continues through production and the product’s end-of-life phase.
A data fabric does not store data itself; it connects and provides access to data from diverse sources without physically moving or duplicating it. It accesses, transforms, and harmonizes data from multiple sources to make it usable and actionable for various business use cases. This is an impressive feat that sounds almost magical.
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.
For example, a long order cycle time might indicate inefficiencies in order processing or shipping. For example, industries with seasonal demands might experience substantial fluctuations in supply chain costs throughout the year. This reduces dependency on a single source and provides alternatives in case of disruptions.
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