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?” In today’s architectures and functional metrics, value optimization does not exist. The data outcome is open source and can be used to improve project outcomes. You are right.
To improve,” the report rightly notes, “organizations should enhance supply chain visibility with robust data and analytics; use AI to foresee disruptions; keep business continuity plans current; and diversify supply sources, suppliers, manufacturing and logistics partners.” net promoter score or similar metric) as a supply chain KPI.
Ken is the Chief of Analytics at DAT Freight & Analytics. About Ken Adamo Ken Adamo serves as the Chief of Analytics at DAT Freight & Analytics. Prior to his career in logistics, Adamo worked in pricing and analytics at a deregulated energy provider.
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. Brought to you by Logi Analytics. How much value could you add? This framework explains how application enhancements can extend your product offerings.
It creates a single source of truth for your rate management, automating RFQs and streamlining the entire procurement process. billion rate data points monthly to provide the most comprehensive view of the market, helping you identify savings opportunities and make data-driven decisions.
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.
Samuel Parker and Joe Lynch discuss DAT iQ: the metrics that matter. Samuel is Director of Product Marketing at DAT Freight & Analytics ‘ Shipper segment. About Samuel Parker Samuel is the Associate Director for DAT Freight & Analytics’ Shipper segment. He lives in Denver, Colorado with his wife and son.
Ethical sourcing is a fundamental aspect of social sustainability. Technologies such as artificial intelligence, IoT, and predictive analytics enable smarter inventory management, real-time tracking, and predictive maintenance, reducing waste and costs. Efficiency is a vital component of economic sustainability.
Strategic sourcing and innovative solutions are often viewed as two distinct procurement tools, but they should not be seen in isolation. Strategic Sourcing: The Foundation of Effective Procurement Strategic sourcing is far more than simply choosing suppliers. Done well, it can become a key driver of competitive advantage.
Erika is Vice President of Information Security at DAT Freight & Analytics, the largest truckload freight marketplace in North America. Currently Vice President of Information Security at DAT Freight & Analytics, she leads the vision, strategy, and execution of advanced security protections. Erika holds a Ph.D.
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.
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. Reward teams for cross-functional metrics. Maturity in Analytics.
Relying on proactive rather than reactive analytics, and the ability to make specific actionable callouts from these data sets, will be key to navigating the ever-changing shipping landscape both now and in the future. Although very informative in their own right, retrospective analytics cannot undo the past. Enter proactive analytics.
That’s where data analytics comes in. It’s the key to transforming your supply chain from a source of frustration into a well-oiled, profit-generating machine. In this post, we’ll explore how data analytics can revolutionize your supply chain. You’re not alone. Ready to get started? Let’s dive in.
It creates a single source of truth for your rate management, automating RFQs and streamlining the entire procurement process. billion rate data points monthly to provide the most comprehensive view of the market, helping you identify savings opportunities and make data-driven decisions.
We cannot change things overnight, but there are some steps that we can take through the use of advanced analytics. Manage Make, Source, and Deliver Together. Invest in analytics to sense and translate demand. Change internal metrics to a balanced scorecard and force the functions to work better together. What to do?
We cannot change things overnight, but there are some steps that we can take through the use of advanced analytics. Manage Make, Source, and Deliver Together. Invest in analytics to sense and translate demand. Change internal metrics to a balanced scorecard and force the functions to work better together. What to do?
Do Set Clear KPIs and Governance Structures : Establish transparent metrics for sales, coverage, and service levels. Do Invest in Distributor Capability Building : Provide training, digital tools, and performance incentives. A well-equipped distributor is an extension of your brand and a key to market penetration.
Gartner measures supply chain analytics maturity across seven different dimensions. There are supply chain and demand analytics models that describe the type of analytics being deployed (e.g., Gartner reports a strong correlation between supply chain organizations that use analytics and improved business performance.
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.
This democratization of advanced analytics allows businesses of all sizes to benefit from sophisticated techniques once available only to enterprise organizations with dedicated data science teams.
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 billion to $23.07
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. Prescriptive analytics tells them what to do about it.
by Alexa Cheater From designing, sourcing and manufacturing, to distribution and consumption, your supply chain is at the heart of your customer satisfaction levels. The focus with Inventory optimization is often on analytics, but that’s just the beginning. It has become a competitive weapon that could help you win the consumerism war.
This guide breaks down the key procurement technologies in use today and the trends reshaping the future, such as AI-driven sourcing, predictive risk management, and deeper integration across the supply chain. What Is Procurement Technology?
For organizations layered in functional metrics and driving a cost agenda, this is a tough nut to crack. In the survey, 48% of companies were driving digital transformation, but the only element that improved performance was descriptive analytics. Build in-market sourcing. Tougher than most understand. The reason?
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.
There is so much data, and to make use of it, we need to use data mining and analytics to drive meaningful insights that can be put to some good use. Now, we can do better than that by using advanced analytics, which can be extended to include more dimensions, such as trends, and provide further insights.
The use of channel data into advanced analytics to sense demand. 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. This is what I think works: Leadership.
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.
Developing Analytical Skills Data analysis is at the heart of effective supply chain management. MTSS platforms support the development of these analytical skills by integrating advanced tools and resources that allow learners to engage with real-world data sets.
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. MSCN solutions provide supply chain visibility, network-based applications, and network analytics across an extended supply chain. Networks and Sourcing.
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?
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.
Clear operating strategy and definition of supply chain excellence across plan, source, make and deliver. A shift from functional metrics to a balanced scorecard. I like the use of growth, margin, inventory turns, Return on Invested Capital, customer service and ESG metrics. Drives Value. S&OP is a business process.
Identify metrics, analytics and projects to drive business improvements. That means turning the impossible to the possible like producing ventilators for the world, with a global team from open-sourced plans shared by MIT. One place to start is in assembling a well-represented, well-formed steering committee.
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.
While there are many types of visibility (see Figure 1), the most common use case is either sourcing or transportation visibility. What most companies want is a system with prescriptive analytics to tell them when a shipment is expected to be late and what action to take. In this blog post, I give a framework to drive discussions.
In this blog post, we’ll explore the challenges of inventory management in today’s manufacturing landscape , discuss the importance of a “single source of truth” for global inventory, and introduce a powerful solution that can help manufacturers transform their operations and drive profitability. How do they achieve this?
Supply chains must be connected and collaborative so all links can align to business strategy and oriented toward a common set of the most important metrics (and not functional metrics that drive siloed behavior). But to operate at the board level we need to be able to speak the CFO’s language. Spike up to protect against attack.
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. They are championing the building of sensing/learning supply chains based on new forms of analytics.
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