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
Samuel Parker and Joe Lynch discuss DAT iQ: the metrics that matter. Samuel is Director of Product Marketing at DAT Freight & Analytics ‘ Shipper segment. DAT iQ provides freight intelligence to inform your budget and procurement strategies so you can navigate market volatility with greater confidence and agility.
Strategic sourcing and innovative solutions are often viewed as two distinct procurement tools, but they should not be seen in isolation. Think of them as apples and gearseach essential and effective on its own, yet when combined; they create a formidable mechanism for achieving procurement excellence.
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.
That’s where data analytics comes in. By harnessing the power of data science and analytics, you can gain end-to-end visibility across your entire network, breaking down information silos and optimizing every stage of your operations. In this post, we’ll explore how data analytics can revolutionize your supply chain.
Conversely, a student who quickly grasps procurement strategies can be challenged with advanced case studies and leadership projects. Developing Analytical Skills Data analysis is at the heart of effective supply chain management.
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.
Why Your Procurement Strategy is More Critical Now Than Ever Before In an era of global supply chain disruptions, a robust procurement strategy is no longer optionalits essential. The right procurement strategy ensures that organizations: Mitigate risks before they escalate. Want to future-proof your procurement function?
The landscape of public sector procurement has undergone significant transformation in recent years, driven by advancements in technology, evolving regulatory frameworks, and an increasing emphasis on sustainability. Predictiveanalytics powered by ML helps organizations anticipate procurement trends and identify potential risks.
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. Let’s break down these key components: Procurement: This is where it all begins.
From rule-based systems to predictiveanalytics and the generative AI boom, businesses have leveraged these technologies to optimize operations, forecast trends, and create data-driven strategies. Keelvar Keelvar specializes in autonomous procurement and supplier negotiations, making sourcing more efficient and cost-effective.
This requires using advanced analytics to analyze historical demand patterns, link the demand peaks to the promotional offers, and adjust future forecasts based on planned promotions. With the availability of a multitude of tools and digital solutions, all this processing and prediction can be easily automated.
Interview for Metrics That Matter. My kitchen table is piled high with interviews for the upcoming book, Metrics That Matter. He is responsible for manufacturing, procurement, supply chain planning, logistics, quality, social responsibility and final product engineering. ” Supply Chain Leader. I am behind. The heat is on.
When you track transportation metrics and KPIs like transit time, on-time pickups, and percent of truckload capacity utilized across your carrier partners, you can identify trends and opportunities for streamlined OTR transportation management. Analytics provides visibility into your transportation network and operations.
If you want to gain more supply chain analytics knowledge, you’re in the right place. We’ve compiled a list of 10 great supply chain analytics books to help you better understand the concepts and strategies behind this vital business field.
Pent-up demand of customers and the strong predictions for another above-average peak season has put a unique burden on truckload and parcel transportation. A Possible Stimulus on the Horizon May Increase the Challenge of Procurement Through Peak Season. transportation metrics ?that today’s freight market, OTR freight services?enable?continued
Without analytical tools and methodologies, navigating through vast amounts of data can be overwhelming. Nonetheless, when harnessed through analytics, data transforms into a powerhouse of valuable insights. Data stands as the cornerstone of the global economy, offering significant leverage to businesses poised for expansion.
Focusing on the transportation metrics that have the greatest impact on the supply chain can help managers stay attentive to both short-term and long-term goals and needs. . Descriptive analytics focuses on utilizing historical data to understand events that transpired and what happened within the network over a set period.
Digital commerce efficiently requires the digitalization of many customer-facing operations and sourcing and procurement. The First Step: Bring all the data together and ensure analytics and planning can happen on the same platform. . Customer Satisfaction scores side by side with the service level and availability metrics.
According to McKinsey & Company, procurement accounts for 50% to 80% of a company’s cost base. That’s why organizations zero in on strategies to achieve procurement cost reduction. The key thing to remember is that cost reduction in procurement isn’t just about slashing expenses.
Artificial intelligence (AI), machine learning (ML), predictiveanalytics and robotics once seemed incredibly sophisticated and out of reach — but today they’re easily accessible to every company. The study predicts that a $10 billon company can realize over $31.2 Warehouse Task Automation. billion in 2020 to $15.79
Streams of data will be pooled, and analytics will make sense of it. Unmanned coffee stations transmit POS data every 15 minutes to help forecast demand, optimize inventory, and generate replenishment proposals for distribution and procurement; SCP software calculates the refill order requirements nightly for frequent, low-volume deliveries.
On this tour, I heard Jeff Ma, a former member of the MIT blackjack team, speak on the use of analytics to make better decisions in “beating the house.” The outcomes are less predictable or clear. The larger the organization, the more tension with conflicting functional metrics making decisions more difficult. Closed Loop.
To monitor supply chain performance, stakeholders of successful companies typically define supply chain metrics that are relevant to the given business and track these KPIs regularly. By setting benchmarks for metrics, analysts can recognize unsettling trends and take preventive measures on time.
And future supply chains will rely on effective data collection, advanced analytics, automation, and control towers augmented with AI/ML technology. Advanced machine learning (ML) technology is needed to reveal hidden patterns and correlations, facilitating accurate predictions and informed decisions.
As part of the conference, I’m delivering a talk on five predictions that every procurement professional should consider. These aren’t so much “predictions”, as opportunities that procurement professionals should become aware of, and educate themselves on.
This blog explains The Key MRP Metrics in Supply Chain whcih every supply chain professional in Manufacturing or Distribution Businesses. The metrics that underpin MRP could be described as the balls in this juggling act. This article takes an in-depth look at the crucial metrics every supply chain professional needs to know.
As global supply chains and procurement scrutiny become more and more complex, risks increase and the range of stakeholders who demand a compliant supply chain has increased from simply regulators to investors, providers, partners, consumers, and the media. Maintain a vendor scorecard with profiles and performance statistics.
These four steps constitute the downstream procure-to-pay part of the process. Optimizing source-to-paythrough digital transformation streamlines every stage of your procurement strategy, improving visibility, efficiency, and collaboration. Suppliers, in turn, benefit from improved demand forecasting and operational predictability.
As supply chain disruptions continue the procurement function should adapt to improve transparency, build collaborative relationships, and ensure sustainable sourcing practices, resulting in a stronger, more resilient supply chain with Cloud ERP for manufacturing. However, as teams become remote manual procurement has hampered operations.
Bottom Line: Manufacturers are reaching a new level of results in 2018 because they have clearer, more actionable insights based on real-time manufacturing and quality metrics than ever before. Quality Metrics Enable Customer-Driven Manufacturing Networks. Quality Metrics Defining the Future of Manufacturing.
Snowflake is a cloud computing–based data cloud company that offers a cloud-based data storage and analytics service, generally termed “data-as-a-service.” Retailers can make changes to the lead times, predict supply chain disruptions, change a store to an e-commerce site, and see what will happen across the supply chain network.
To address these issues, manufacturers and distributors are focusing more on the use of data analytics to help them make more strategic decisions related to supply chain performance. But how can organizations best use data analytics to enhance their supply chain management efforts? Make supply chain analytics broadly available.
Modern data collection is fundamentally supported by advanced specialized sensors that serve as the primary tools for gathering various metrics in manufacturing environments. Here’s a breakdown of the key data types: Production Metrics: These tell you how much you’re producing and how efficiently.
When this happens, there is greater balance between metric trade-offs and resiliency in year-over-year improvements in corporate performance. Sidestep the planning and analytic offerings. Actively Invest in Cloud-Based Analytics for Self-service by the Line of Business User. Process needs to follow strategy. Redefine Demand.
The market shift is towards analytics, but this new market is confusing. Demand-driven concepts are expansive they extend from the customer’s customer to the supplier’s supplier, but the areas of sales and procurement are often very resistant to the demand-driven concepts. Build What-if Analytics. Why is this happening?
Leveraging advanced analytics : You can use analytics to identify top-performing suppliers as well as address any issues based on supplier performance metrics. Analytics also help you better evaluate potential suppliers, pinpoint cost-saving opportunities, and strengthen future sourcing strategies.
Legacy IT systems, which were not designed for real-time data sharing, force production, procurement and logistics to run on separate, disconnected systems. These shared metrics translate into optimized inventory management and improved responsiveness to market demands, moving beyond mere collaboration into true cooperative action.
Insights gleaned from robust data analytics enable core business areas to identify opportunities for risk reduction, enhance operational efficiencies, and foster strategic initiatives that drive business growth. For example, using forecasting models to predict quarterly sales and adjust marketing spend accordingly.
Yet despite the availability of new platforms and analytics tools, supply chain risk management strategies remain in their infancy post-pandemic. It is based on a survey of 462 procurement decision makers at companies with 1,000 or more employees in North America, Europe, and Asia Pacific. About the research.
Everstream Analytics 2025 Annual Risk Report Supply chain insights and risk analytics technology provider Everstream Analytics released this providers 2025 Annual Supply Chain Risk Report. This report identifies the five most likely supply chain events that will impact supply chain operations this year. All rights reserved.
The Art of Supplier Collaboration: Best Practices to Build Lasting Partnerships Dynamic market changes and global events seem to create newer demands and greater pressure on procurement professionals. These metrics allow you to assess whether your suppliers are meeting their commitments and contributing to your business objectives.
Breaking Boundaries: Exploring Generative AI’s Impact on Supply Chains Supply chains encompass many interconnected activities, from procurement, production, and inventory management, to logistics and distribution. These activities involve numerous stakeholders, such as suppliers, manufacturers, distributors, and retailers.
Supplier viability is a major concern of supply chain leaders and procurement professionals today when committing their direct materials to specific trading partners,” said David Cahn, Director of Product Marketing at Elemica , in a recent episode of Talking Logistics. Do we have the right Service Level Agreement metrics in place?
Supply chain optimization can achieve this with the help of data analytics. Data analytics helps businesses make data-driven decisions and initiatives. How does data analytics help supply chain optimization? Let’s explore the roles which data analytics play in this process. Why is it crucial? Download from the below link.
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