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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.
This provides a data foundation to optimize medical and supply fulfillment to limit procedure cancellations along with real-time data analytics. This provides a data foundation to optimize medical and supply fulfillment to limit procedure cancellations along with real-time data analytics.
Data fabrics need to work across an AI and Analytics lifecycle. Mr. Masson says the analytics lifecycle includes: Managing Data : Creating a business-ready analytics foundation by integrating and standardizing data across systems. A data fabric refers to an architecture that supports a unified approach to data management.
Advanced data analytics can transform the high volume of data generated by IoT sensors into actionable insights that drive operational improvements. Real-time analytics supports immediate adjustments in route planning and maintenance scheduling, optimizing fleet operations and reducing costs.
The C-suite is laser-focused on supply chain performance. This GEP-sponsored report will show you how to leverage data for a collaborative supply chain that delivers results and how to future-proof supply chain management strategies.
While SAP has had procurement analytics solutions, last year at Spend Connect Live, SAP announced the Spend Control Tower. The enterprise software company also announced a new analytics solution covering external workforce management. This solution provides insights in a much easier way to digest. It is a brilliant tool.”
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.
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. Predictive analytics in manufacturing detect potential equipment failures, reducing production downtime.
Read the new GEP-sponsored report by Harvard Business Review Analytic Services for strategies and digital solutions to achieve these goals. Supply Chains have 3 key priorities: building resiliency, reducing costs and driving ESG performance.
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.
This state-of-the-art platform integrates advanced data analytics, real-time monitoring, and compliance features to deliver actionable insights for OEMs and the entire battery ecosystem, including material suppliers, cell and module manufacturers, and recyclers.
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.
This provides a data foundation to optimize medical and supply fulfillment to limit procedure cancellations along with real-time data analytics. Healthcare : In healthcare, a data gateway can improve supply chain visibility and inventory optimization by providing a unified and harmonized connective tissue of data.
What’s Inside: How CPOs are driving strategic decision-making and technology adoption The top priorities and challenges for procurement in 2025 Why AI, sustainability, and data analytics are essential for success Read this essential report to chart your path forward and influence procurement tools and processes.
While much attention is given to Vertex’s pioneering work in Continuous Manufacturing (CM) and Process Analytical Technology (PAT), which reduces production cycles from weeks to hours, the supply chain impact is equally impressive.
Judah Levine Head of Research, Freightos Group Judah is an experienced market research manager, using data-driven analytics to deliver market-based insights.
Technologies such as artificial intelligence, IoT, and predictive analytics enable smarter inventory management, real-time tracking, and predictive maintenance, reducing waste and costs. This pillar is about creating value, reducing risks, and positioning the organization for long-term success.
From engaging with your supply chain to integrating advanced analytics and reporting, this paper charts a clear path to compliance and leadership in corporate sustainability. It’s no surprise that enterprises still struggle to track and manage these emissions. '10
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.”
Warehouse Management Systems: This session highlighted Infor’s unique advantages in Warehouse Management, emphasizing its cloud-native architecture, comprehensive unified solution, and how it leverages the Infor Industry Cloud Platform for capabilities like extensibility, document management, analytics, and workflows.
billion rate data points monthly to provide the most comprehensive view of the market, helping you identify savings opportunities and make data-driven decisions.
To support its logistics solutions, CTSI-Global integrates advanced technologies such as artificial intelligence (AI), predictive analytics, and data-driven insights. These tools enhance transportation management by improving forecasting, optimizing logistics processes, and providing greater supply chain visibility.
2024 GEP Procurement & Supply Chain Tech Trends Report — explores the biggest technological trends in procurement and supply chain, from generative AI and the advancement of low-code development tools to the data management and analytics applications that unlock agility, cost efficiency, and informed decision-making.
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.
The study underscores the urgent need for organizations to enhance their supply chain resilience through advanced analytics, technology-driven insights, and strategic planning to navigate evolving tariffs, trade policies, and market dynamics.
As todays logistics and supply chain leaders focus on creating more agile, responsive supply chains to help overcome unexpected disruptions, many are turning to AI-driven global trade intelligence technology, leveraging predictive analytics and scenario modeling (e.g.,
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As the value of modern in-app analytics becomes clearer, more companies are making analytics a priority before it becomes a problem. The longer you wait to modernize your application’s analytics, the harder you’ll eventually feel the pain of lost customers and missed revenue. Download the eBook to get started today!
Support Data-Driven Decision Making : Advanced data centers will enable better data analytics and insights, driving more informed and strategic decisions. These upgrades will: Enhance Operational Efficiency : Improved infrastructure will support Apples growing operations, ensuring seamless and efficient supply chain management.
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.
Corey Rhodes , CEO of Everstream Analytics, explains, “The past year has been unprecedented, with extreme weather events, heightened geopolitical tension and cybercrime destabilizing supply chains throughout the world. Everstream analytics lists climate change and extreme weather as the top risk to supply chains this year.
Nucleus Research classifies inventory optimization as a predictive analytics function, with stochastic (probabilistic) planning systems consistently outperforming traditional methods in optimizing stock levels. The future of supply chain planning is herepowered by probabilistic forecasting, AI, and digital twin technology.
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The testing of new analytical concepts and the justification of new approaches is a challenge. Analytics Centers Outperform Supply Chain Centers of Excellence in Satisfaction. Invest in building a Center of Analytics Excellence. Centers of Analytics Excellence outperform centers of Supply Chain Excellence.
Data-Driven Insights: Upwell provides valuable data and analytics to help businesses optimize their accounts receivable operations. Exception Management: The platform efficiently handles exceptions and disputes, reducing manual intervention and accelerating resolution.
Using AI to Enhance Context of Data Data fuels advanced analytics, artificial intelligence (AI), and machine learning (ML) in supply chain planning. Stakeholder Alignment: Understanding who needs to be involved, for instance local teams versus global stakeholders, ensures timely and accurate 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.
We have lots of functions, lots of analytics, lots of reports.” Intelligence is also related to how the solution is being used. The platform not only tracks plan acceptance, it tracks how often the different pages are used. What does that mean? The system tracks who uses each of these pages and how long they use them for.
Nucleus Research classifies inventory optimization as a predictive analytics function, with stochastic (probabilistic) planning systems consistently outperforming traditional methods in optimizing stock levels. The future of supply chain planning is herepowered by probabilistic forecasting, AI, and digital twin technology.
About Xeneta Xeneta is the leading ocean and air freight rate benchmarking and market analytics platform transforming the shipping and logistics industry.
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