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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. Manufacturing : A smart factory relies on IT-OT integration.
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. The enterprise software company also announced a new analytics solution covering external workforce management.
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.
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. Manufacturing : A smart factory relies on IT-OT integration.
Speaker: Ryan MacCarrigan, Founding Principal, LeanStudio
Many product teams use charting components and open source code libraries to get dashboards and reporting functionality quickly. Watch this webinar with Ryan MacCarrigan, Founding Principal of LeanStudio, to learn about key considerations for launching your next analytics project.
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.
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.
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.
AI as a Predictive Tool AI-driven supply chain planning integrates machine learning, real-time data analytics, and external risk monitoring to anticipate disruptions before they materialize. This enables companies to adjust sourcing, production, and logistics well in advance of potential disruptions.
Turning embedded analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Proven approaches to achieving analytics maturity.
The key to this lies with sourcing. Before diving further, let us define what sourcing is. Sourcing is the practice of finding and selecting suppliers for a range of services (e.g., Traditional sourcing practices tend to be highly manual and are fraught with latencies and inefficiencies. Digitalizing sourcing (i.e.,
They offer software systems and technology for complex integration, rapid application development, and advanced analytics and sell those solutions to companies that need to accelerate optimized business outcomes. They use this foundation to provide historical, predictive, and prescriptive analytics.
Industry-specific content is available for processes like Source to Settle, Procure to Pay, Order to Cash, and more. The platform leverages AI and Digital Technologies like RFID at Source (reducing receiving and packing time and chargebacks) and 2D barcodes/Digital Links to drive transparency and capture data for product circularity.
With deep-tier mapping of supply chains, companies can manage upstream supplier risk and downstream buyer exposure while optimizing alternative supplier sourcing and ensuring trade compliance. digital twins) to visualize and assess the outcomes of different planned responses.
Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
And one of the main objectives of all this digitized data and integration in one source of truth is supply chain visibility , that will not only let logistics experts optimize operations, but also detect and react to disruptions.
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.
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.
Source: mainebiz.biz In today’s rapidly evolving logistics and supply chain sector, warehouses are increasingly turning to innovative technologies to gain a competitive edge. By leveraging big data and analytics, warehouses can make more informed decisions, leading to better resource allocation and cost savings.
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.
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.”
But now, it’s being activated through AI agents designed to automate sourcing, manage risk in real time, and reduce the friction thats long plagued procurement and finance functions. With capabilities like suppli er onboarding, contract management, and predictive analytics, NaVi represents a leap forward in human-AI collaboration.
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.
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.
Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.". Brought to you by Logi Analytics.
To mitigate risks, many companies are incorporating alternate parts into their sourcing strategy. Here, we highlight some of the obstacles with alternate parts sourcing and discuss key considerations to help streamline the process. 5 ESSENTIALS FOR SOURCING ALTERNATE COMPONENTS 1. Ensure parts originate from a trusted source.
Support Data-Driven Decision Making : Advanced data centers will enable better data analytics and insights, driving more informed and strategic decisions. The company aims to: Invest in Renewable Energy : Expanding the use of renewable energy sources to power its operations, reducing its carbon footprint.
From sourcing and bid evaluation to warehouse slotting and dynamic routing, AI tools support faster and more consistent outcomes by processing large volumes of operational data and identifying patterns that human decision-makers may overlook. Integration allows seamless transitions from data insights to purchase approvals and execution.
Companies must harness a wide variety of data structures and formats, spanning internal and external sources. Using AI to Enhance Context of Data Data fuels advanced analytics, artificial intelligence (AI), and machine learning (ML) in supply chain planning.
Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.
Technological Advancements Real-time inventory tracking and predictive analytics give leading firms a competitive edge. Embrace Technology Leverage digital platforms for predictive analytics, automation, and end-to-end inventory transparency. Conflicts in critical regions disrupt access to essential materials.
One of the most transformative tools in this regard includes, digital sourcing or also referred to as, e-sourcing applications. These digital platforms have revolutionized how businesses approach sourcing by enhancing efficiency, reducing costs and fostering better supplier relationships.
Integrating Real-Time Data for Improving Demand Forecast Accuracy AI-driven demand planning models leverage real-time data sources, such as: Point-of-sale transactions Social media trends Website traffic analytics Consumer behavior indicators 3.
With Freightos Procure, were now in a position to build true Procurement Intelligence by combining global market data with modern sourcing and decision-making processes. Former Global Logistics Partner Manager at Kuehne+Nagel, specializing in LSP sourcing, onboarding, and management. Were raising the bar.
Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics. But today, dashboards and visualizations have become table stakes.
In Part One of the series , Michael observed that standard sourcing solutions struggle in efforts to support direct materials sourcing because of specific challenges in the software design and why. Much of this has to do with needs for deep integration and two way flow of data streams.
Enter AI-powered predictive analytics, a game-changing innovation that reshapes supply chain management by enhancing logistics, proactively mitigating risks, and dramatically boosting efficiency. In current applications, we already see how AI delivers tangible benefits like cost reductions, faster deliveries, and fewer disruptions.
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?
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.
But, as leaders know, adapting to change is rarely a simple task and requires a fresh look at existing processes in planning and sourcing, inventory management, warehousing & distribution, and more. 4 use cases that leverage an active approach with supply chain analytics. Download your copy today!
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.
In Part One of the series , Michael observed that standard sourcing solutions struggle in efforts to support direct materials sourcing because of specific challenges in the software design. He further established the case for why supply chain teams need to context integrated sourcing as well as procurement.
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?
Our second webinar delved deeper into the technology aspect, focusing on analytical capabilities and scenario modeling. Our first webinar with Oliver Wight discussed common people, process and technology pitfalls that hinder IBP initiatives. Specifically, we looked at three use cases for scenario modeling using our cloud-based IBP app.
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