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
Skip to content The Network Effect Beyond Supply Chains Menu Home Business Networks Supply Chain Management Logistics Resilience AI About Submit a Post Rethinking Defense Supply Chains with Network-Based Command Centers July 11, 2025 Michael Bruens Defense , Supply Chain Management This post has already been read 125 times!
The focus remains on clean datas role in overcoming ProcureTechs 50-70% failure rate, ensuring adoption, and driving CAGR. The focus remains on clean datas role in overcoming ProcureTechs 50-70% failure rate, ensuring adoption, and driving CAGR. Otherwise, formerly clean data will revert to its prior state of inaccuracy.
Coupa, Ariba) Data analytics tools (e.g., Coupa, Ariba) Data analytics tools (e.g., Use Data-Driven Arguments: Leverage cost breakdowns and benchmarks to negotiate better terms. Use Analytics Platforms: Develop skills in Tableau or Power BI to visualize procurement data. SAP, Oracle) Procurement software (e.g.,
Renowned for their sophisticated techniques and strategic targeting, these cybercriminals have set their sights on infiltrating IT supply chains to breach network systems. This new strategy allows the threat actors to exploit vulnerabilities in the supply chain, gaining access to critical systems and data within organizations.
But that doesn't mean there aren't some frustrating roadblocks on the network. Check out our latest ebook for a guide to the in-depth, wide-ranging candidate and company data offered by ZoomInfo Recruiter — and make your next round of candidate searches faster, more efficient, and ultimately more successful.
A network approach where suppliers maintain rich information on their cost structures (SG&A, machine rates, etc.) shape analysis) and a unique take (network) that enables buyers to create a knowledge base of their parts to understand costs and/or analyze and identify similar parts.
AI-powered automated data cleansing and classification can instantly correct inconsistencies, remove duplicates and categorize spend data, replacing hours of manual work with accurate, reliable insights. These foundational applications dont require major system overhauls (which IT prefers), making them widely adopted across industries.
The dawn of Multi-Enterprise Supply Chain Business Networks (MESCBN) has ushered in a new era of interconnected commerce, transforming the customary supply chain landscape. As these networks continue to disrupt the market, vendors are presented with a lucrative $4.02 billion prospect they simply can’t afford to overlook.
What are liquid networks? February 2025 – A Liquid Network is a dynamic, decentralized, and adaptable system where ideas, information, and resources flow freely between interconnected participants, fostering innovation and collaboration. What impact do liquid networks have on procurement and ProcureTech?
Real-time data from every tier of your network, combined with focused applications, AI, and actionable analytics, enables cross-functional collaboration for swift disruption resolution. Explore the evolution of control towers to command centers leveraging cross-functional visibility and a unified operating platform with this eBook.
“In financial services for example,” says Stephen, “the biggest risk concerns are around cyber attacks and data breaches. It’s not uncommon for each department to have its own list of suppliers and its own supply of risk data. And that focus has become even greater since we’ve witnessed more of them happening.
Ensuring data security across the supply chain will become paramount, with procurement professionals playing a key role in safeguarding against cyber threats. Automation and the gig economy will lead to a core team overseeing a network of specialized contractors and automated systems, enhancing agility and responsiveness.
A Metaprise (Meta + Enterprise) is a networked enterprise ecosystem where multiple organizations, suppliers, and partners are seamlessly interconnected through a digital procurement infrastructure. Network Intelligence: Learns from market trends, supplier performance, and risk factors to optimize sourcing and supplier management.
Companies store their data in on-premise and third-party servers, leading to a sprawl that is challenging to monitor. Worse, data in these servers are accessed by machines like microservices and automated jobs, making manual security monitoring an impossible task.
However, the data reveals a deeper story. Pulling from our own network and the broader industry, Uber Freight is releasing a biannual report that examines dynamic retail and spending imbalances, unprecedented nationwide driver supply shifts, and digital brokerage trends that emerged in H2 2021.
What customers prioritize when investing in procuretech At Prewave, we find that our customers adopt a structured approach to their ESG and sustainability obligations, which is why its important to provide procuretech solutions that provide a clear, data-driven overview on environmental, social and governance issues.
Now, we turn to a crucial but often overlooked piece of the AI puzzle: Where do these AI agents get their data, and how do you ensure it’s accurate and compliant? Imagine attempting to navigate a complex road network without accurate GPS data. AI agents operate in much the same way.
Theoretical Foundation Addresses Real Business Problems Strand Commonality Theory Strand commonality, a theory developed by Jon Hansen, posits that seemingly unrelated data streams possess interconnected attributes.
Manual processes are the root cause of most AP inefficiencies – and they often stem from poor data quality, disconnected systems, and lack of visibility. Common AP such as manual data entry or coding, PO mismatches, non-PO workflows, siloed approvals, and supplier confusion create risk, delays, and inefficiency. The result?
Speaker: Len Pannett - Supply Chain and Operations Transformation Expert | Board Advisor - UK Ministry of Defence | Mentor | Author | Keynote Speaker
What were once traditional supply chains have now transformed to multidimensional networks met with new extremes in customer demands. Supply chain professionals often face the dilemma of balancing cost, resilience, and sustainability. But what happens when compromise causes one of the many balls we juggle to drop?
Supply chains are more complex than ever, stakeholder expectations are soaring and the sheer volume of data that procurement teams must sift through is overwhelming. With AI, procurement teams can process and analyze vast amounts of data (i.e., big data) in real time, spotting correlations and trends that would otherwise go unnoticed.
That’s because procurement professionals like you are under constant pressure to cut costs, reduce risk, and deliver data-backed insights to the business. Key Takeaways Data silos and rigid classification methods limit visibility and erode stakeholder trust, making it hard to scale data analysis or act on insights. Let’s dig in!
IT & Network Issues You might face severe disruptions in supply chain management due to IT and network issues. Implement robust cybersecurity measures: Use firewalls and encryption software for secure data handling. For supply chains, failure to comply could result in significant disruption.
In modern times, supply chain infrastructure has changed from just a physical and functional system to an extensive network of assets, data, and activities that are all connected. AI systems have made much progress in business processes and robotics, making it easier to analyze business data.
Brittle supply chains, fragmented systems landscapes, unreliable and inaccurate data, as well as poorly managed IT and business networks are consistently reported as top concerns, which is why executives are increasingly prioritizing digital transformation.
With raw materials, equipment and maintenance making up the bulk of their expenditures, procurement professionals in manufacturing are turning to AI to gain deeper insights and stronger control over their supplier networks. Supply network modeling, now integrating large language models (LLMs), allows for precise tracking and material tracing.
Today’s supply chains often span multiple countries, involve various suppliers, manufacturers, and distributors, and rely on intricate networks of transportation. RTSV enables organizations to maintain full oversight of their global operations, providing the necessary data to identify and mitigate disruptions quickly.
Here at Thomas , we've been powering North Americas largest and most active network of B2B buyers and industrial/commercial suppliers for more than 120 years. That's why we developed the Thomas Network to help you search for qualified manufacturers, distributors, and service companies. Register today to try out these features yourself.
Businesses must find effective ways to strengthen their networks and improve flexibility to maintain stability during uncertain times. Businesses need to identify vulnerabilities in their networks, from supplier dependencies to transportation delays. Implement cloud-based platforms for seamless data sharing.
Definition & Scope These specialized platforms differ from basic systems in their analytical capabilities: Demand planning : Advanced algorithms predict future inventory needs based on historical data, market trends, and seasonal fluctuations. Without proper integration, even the best optimization tools become isolated data silos.
Additionally, the act introduces measures to enhance data availability and accessibility. Furthermore, these programs can also facilitate networking among stakeholders, fostering collaboration and knowledge-sharing that can enhance procurement practices across the board.
We’ll explore how invoice processing is becoming fully automated, how data extraction streamlines billing analysis, and how smart contracts ensure enforceable billing terms. The conventional manual data entry is prone to errors. It converts printed text into computer-readable data.
Our coverage also explores the latest thought leadership topics about procurement and supply, the technology that serves it and comparative analyses based on demos and the scoring of 500+ RFI requirements across 12 source-to-pay (S2P) categories that create our Vendor Ranking data. S2P Zapro.ai
Digital procurement streamlines workflows and unifies data, enabling faster sourcing, better collaboration, and improved accuracy. Digital procurement enables smarter, data-driven decision-making and the ability to integrate with ERP, finance, and supply chain systems to streamline operations.
Press Releases / Arkestro Joins the AWS Partner Network to Amplify Procurement’s Influence Arkestro Joins the AWS Partner Network to Amplify Procurement’s Influence The leader in Predictive Procurement Orchestration (PPO) joins the AWS Partner Network to redefine procurement’s role in business growth.
In the digital age, businesses and industries are increasingly interconnected, forming complex networks known as digital ecosystems. Private Blockchains Public blockchains, like Bitcoin and Ethereum, are open to anyone and rely on decentralized networks of nodes for validation. The Effects of Blockchain on Modern Consumerism!
That’s why many organizations are undergoing procurement transformation , and shifting from manual, siloed processes to connected, data-driven strategies. Your procurement technology platform should help unify data and processes across tiers to avoid disruptions. Explore Ivalua’s intake management solution.
Resources / Blog / 5 Procurement Industry Trends to Watch in 2025 5 Procurement Industry Trends to Watch in 2025 In recent years, the procurement industry has undergone unprecedented transformations driven by the adoption of digital transformation, big data, and advanced technology like artificial intelligence (AI), machine learning, and automation.
While companies have robust visibility over their inventory and warehousing (99%), this drops to a stark 20% when it comes to their deeper supplier networks. Supply chains generate immense volumes of data daily, but without effective tools, this data remains underutilized.
Standardize item data with classification, taxonomy and mapping logic. Adjust forms, flows and data requirements dynamically based on request type, user, business unit or location. Orchestrate requisitioning with compliance and guidance Requisitioning should not just move data. Data without action is a waste.
The intricate network of moving eggs from farms to stores involves various expenses that ultimately influence the final price tag. Impact of Transportation Costs on Egg Prices Transportation costs play a significant role in the fluctuation of egg prices, impacting both producers and consumers alike.
Technology is a powerful enabler of finance-procurement collaboration, bridging gaps in spend visibility, cost control and data integration. Ensure procurement data is linked to financial dashboards Procurement spend data must be available in real-time for financial forecasting and budget adjustments.
Enhanced Interoperability and Collaboration: Metaprise with ABM: Facilitates seamless collaboration across different procurement platforms and stakeholders, supporting multi-enterprise interoperability and network intelligence. Networked Intelligence : Agents share data and insights across the metaprise, enabling collective optimization (e.g.,
By leveraging predictive analytics, automation, and real-time insights, organizations are achieving greater accuracy in demand forecasting, enhancing supplier relationships, and optimizing logistics networks. Professionals can use this data to develop performance scorecards, allowing for transparent, data-driven conversations with suppliers.
We organize all of the trending information in your field so you don't have to. Join 69,000+ 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