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
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.
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.
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.
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.
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.”
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.
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.
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 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.
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.
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.
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.
Crisp is excited to announce the acquisition of two entities: Atheon Analytics ( SKUtrak ) and ClearBox Analytics ( ClearView ), both based in the United Kingdom and connecting supply chain data across major retail chains and their CPG suppliers. and the UK. . and the UK.
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.
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
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.
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.”
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.
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.
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.
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.
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. Next Generation New Product Introductions (NPI) Forecasting demand for products without sales history has traditionally been a guessing game.
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.
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!
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.
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.
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.
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.
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.
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.
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.
Predictive analytics helps logistics companies anticipate disruptions and adapt proactively. Innovative tools provide actionable insights and improve operational efficiency Artificial Intelligence (AI): AI systems optimize routing and demand forecasting, reducing energy consumption and empty miles.
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.
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.
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.
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.
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.
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.
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