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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.
EvoAI was built on two guiding principles that distinguish it from other retail planning tools: Prescriptive analytics Quantum learning Innovation Through Analytics EvoAI is a prescriptive, not predictive tool. Retailers have long used business analytics to inform decision-making. First in always-on inventory 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.
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.
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.
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.
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.
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.
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.
Judah Levine Head of Research, Freightos Group Judah is an experienced market research manager, using data-driven analytics to deliver market-based insights.
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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.
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.
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.
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.”
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.
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.
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
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.
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.
Mike is the Head of Intermodal Solutions at SONAR, the leading freight market analytics tool and dashboard, aggregating billions of data points from hundreds of sources to provide the fastest data in the transportation and logistics sector. Mike Baudendistel and Joe Lynch discuss the CPG supply chain.
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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.
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.
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.
It combines robotics, analytics, and the Internet of Things (IoT). In contrast, SAP touts an integrated cloud-ready portfolio that includes predictive analytics, automation, and IoT capabilities. For example, deeper analytics into poorly implemented planning systems makes terrible decisions faster. Supply Chain 4.0.
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. About DAT Freight & Analytics DAT Freight & Analytics operates the largest truckload freight marketplace in North America.
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!
Instead, invest in new forms of analytics to improve visibility and prescriptive analytics. The sixth step is to stop the c urrent Advanced Planning and Enterprise Resource Planning projects. At this time, they add noise to an unstable system. The seventh step is to p ut as much emphasis on S&OP planning as on execution.
Some of the applications of AI and ML in supply chain robotics include vision systems, natural language processing, predictive analytics, and reinforcement learning. Predictive Analytics Predictive analytics is the use of AI and ML to analyze data and make predictions about future outcomes, events, or behaviors.
About Farelanes Farelanes is a leader in Logistics analytics and real-time Lane Pricing for all equipment types operating on North American roads today. With over 25 equipment types, not just Dry Van, Reefer and Flatbed, Farelanes provides truckload freight data analytics services for North America.
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.
Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.
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Joe Lynch chats with Matt Harding, CTO of Greenscreens.ai, about harnessing the power of dynamic pricing, and data analytics to optimize shipping efficiency. Before joining Greenscreens.ai , he was Senior Vice President of Data Science at Transplace/Uber Freight, overseeing data architecture, supply chain analytics, and logistics engineering.
Forecasting has evolved into a sophisticated science, combining historical data, real-time market signals, and predictive analytics. Advanced Forecasting and AI Evolution With ongoing geopolitical disruptions and supply chain volatility, the need for responsive and sophisticated forecasting capabilities has never been more critical.
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.
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.
Data-Driven Decision Making : Using analytics to continuously refine operations. Leverage Data Analytics for Demand Forecasting Advanced analytics tools can predict customer demand and help you optimize inventory. AI and Predictive Analytics AI and machine learning improve predictive capabilities and data-driven decisions.
First, in the early 2000s, advancements in data analytics, RFID, and localized supply chains fueled the rise of “fast fashion.” Ulula utilizes analytics to improve the working conditions for workers across global supply chains. These clothing companies have revolutionized how consumers purchase, wear, and dispose of their clothing.
Current Familiarity with Analytic Concepts (Fall 2022 Snapshot) Preamble Supply chain leaders love their rows and columns. I am excited to see this form of deployment in Everstream Analytics and Transvoyant’s current work. Most current spending is focused on deploying traditional optimization on relational databases.
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The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data. Choosing the best solution for your dashboards and reports starts with understanding the types of analytics solutions on the market. 4 common approaches to analytics for your application.
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