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Shippers, brokers, carriers, news organizations and industry analysts rely on DAT for trends and data insights based on a database of $150 billion in annual market transactions. He is responsible for driving strategy, customer engagement, and industry analysis.
HERE Technologies, a location data and technology platform, has released a new commercial fleet analytics tool – CO? The tool also […]. The post HERE, Migros Launch Emissions AnalysisTool for Fleet Operators appeared first on NGT News.
She brings almost 20 years of supply chain and benchmarking experience to DAT, where she is focused on providing actionable insights to shippers through DAT’s Benchmark Analytics and Rateview benchmarking tools. The platform offers a wide range of features and tools to help shippers find available carriers and carriers find available loads.
Through the utilization of advanced machine learning techniques and big data, Greenscreens.ai Their platform not only provides highly accurate buy rates but also offers sell price suggestions based on comprehensive dataanalysis. By leveraging comprehensive dataanalysis, Greenscreens.ai Greenscreens.ai
Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS
When you finally have the analysis, everything has changed, and it is no longer relevant. This on-demand webinar shares research findings from Supply Chain Insights, including the top 5 obstacles that bog you down when trying to improve your network design efforts: Poor data quality. Lack of skilled resources.
Anthony transitioned to a Corporate Economist & Consultant, advising CXO leaders and Fortune 500 companies on economic analysis, industry trends, and internal strategy. He led analysis around M&A, pricing sensitivity, competitive intelligence, and annual sales forecast for the executive team. Anthony on LinkedIn.
From digital freight brokerage and consultancy to software tools, they empower shippers, carriers, and warehouses to move more with less—increasing efficiency, reducing costs, and enhancing service quality. Loadsmart has launched FreightIntel AI: Their AI-powered platform that provides real-time data and insights.
Data is the lifeblood of AI in the supply chain. Without sufficient data, AI models can’t uncover meaningful patterns, make accurate predictions, or provide valuable insights for informed decision-making in complex and dynamic environments. At the same time, feeding your AI models too much data can also be a problem.
This year, a recurring theme that I saw was about using supply chain data to improve the customer experience across the entire value chain. Here are the ones that stood out to me, especially as it relates to supply chain data. The single data cloud runs on Snowflake, one of Blue Yonder’s partners.
So, when I learned that GIS can effectively be used for traffic analysis and management, my interest piqued. GIS is a powerful tool that enables the analysis and visualization of spatial data, allowing for the integration of geographical elements into transportation planning and management. How Does GIS Help?
Increasing supply chain data visibility is a priority for logistics organizations looking to improve resilience. Supply chain recovery hinges on incorporating robust data analytics and other data-driven tools into business operations to increase efficiency, reduce costs and proactively manage risk.
Krenar Komoni has developed breakthrough ideas in data analytics, logistics, and electronics design for nearly 20 years. Tive is a cloud-based platform that uses IoT sensors to capture critical real-time shipment sensor data as products are shipped worldwide. About Krenar Komoni. Key Takeaways: The Tive Story.
To do that, you need to access accurate data and create insightful reports for GL, as well as other finance and operational needs. To build and customize reports many teams use Excel, the accountant’s favorite tool. Pulling data takes time and then you must format it for analysis and check for errors. Stale data.
One essential tool used by the supply chain team is supply chain design. Energy management solutions are products that energy utilities use to produce power and data centers use to consume power. One key tool they use to accomplish this is a supply chain design solution from Coupa.
Low-code tools give an easy-to-use support for building software applications, eliminating the need for in-house coding specialists. Therefore, embracing tools that assist organizations create solutions faster like low code should be a consideration to manufacturers. What is low code development? Low code and ERP.
There is limited value to running an outdated process faster, and that value drops considerably when significant portions of the process run outside the enterprise tools. Planners spend considerable time preparing scenario planning and not the actual analysis. Instead, your planning team continues to be overworked and stressed.
Manufacturers rely on data and their ERP platform to answer critical questions: What are our inventory levels? After all, data is the foundation of digital transformation, and according to McKinsey the pandemic caused companies to accelerate their digital transformation plans by three to four years.
These sensors capture precise data on factors like location, speed, fuel usage, and driver behavior, transforming fleet management from reactive to data-driven decision-making. The IoT data allows managers to detect inefficiencies, predict maintenance needs, and even assess driver performance.
Understanding AI Agents At its core, an AI Agent is a reasoning engine capable of understanding context, planning workflows, connecting to external tools and data, and executing actions to achieve a defined goal. user interface and data management agents) collaborating with specialized-skill and tool agents (e.g.,
Have you conducted a cost-to-serve (CTS) analysis for your enterprise? And that is the sole purpose of cost-to-serve analysis. If you were going to say, “What is a cost-to-serve analysis?” Only a complete cost-to-serve analysis will expose these underlying issues unless they happen to be discovered incidentally.
The manufacturing industry is currently undergoing a rapid digital transformation, and as a result, companies are generating vast amounts of data. Unfortunately, without proper processing and analysis, this data is of little use to the organization. This enables managers to take swift action and keep production on track.
Dynamic pricing that enables shippers to get an instant freight quotes created by a dynamic pricing tool that delivers the right price with guaranteed capacity. Rate Guard gives shippers an easy to use tool to control their freight costs and avoid the spot market. 2022 Freight Data Insights Report.
New technologies and tools are coming up to meet our needs. A digital data warehouse is designed with the purpose of improving business decisions by allowing data consolidation, analysis, and reporting at different aggregate levels. Today we live in an era where technology is changing at a faster rate.
Data is the new precious metal and it is becoming more essential than ever before. Technological leaps like blockchain, artificial intelligence and machine learning run on data. Careful and Regular Data Collection is Critical Data management is not a “set it and forget it” activity. Garbage in will get you garbage out.
This collaboration aims to deliver advanced tools to streamline workflows and improve finances across distribution and warehouse operations. Together, the companies will provide businesses with powerful labor insights for workflow analysis, benchmarking, and forecasting across their networks.
Today, data and software programs can be saved or run in any data processing center in the world. This business model provides many advantages: Processing big data efficiently. Cloud computing bundles all the data and services in one single infrastructure. Rapid integration. Access to latest features. Pay as you grow.
Savvy shippers and carriers will look for 3PL partners who can not only automate the life of the load, but also provide additional value via analysis, business intelligence, and market insights. Smart tools that organize and analyze information in new and useful ways. Learn More About Beyond Cost Per Load Felipe Capella.
Excel analysis of the new SONAR tool shows how truckload competes with rail intermodal by lane Prior to last month, SONAR data was available in two ways: by using the browser-based visualization tool or via an API connection. That data point and the muted intermodal spot rate of $1.17/mile, That includes myself.
CoPilot is a generative AI tool embedded in its freight management platform, ShipperGuide, that enables real-time dataanalysis and industry insights by harnessing the power of large language models.
Krenar Komoni has developed breakthrough ideas in data analytics, logistics, and electronics design for nearly 20 years. Tive is a cloud-based platform that uses IoT sensors to capture critical real-time shipment sensor data as products are shipped worldwide. About Krenar Komoni. Key Takeaways: The Tive Story.
There are different tools, goals, and market dynamics. An RFP is a data intensive exercise. This made the dataanalysis easier. On the inbound side, it was highly reliant on spreadsheet data. This made the dataanalysis “painful.” We did not have a great spot tool.”
Instantaneous freight quotes created by a dynamic pricing tool that delivers the right price with guaranteed capacity. Mode optimization has traditionally been promised, but not delivered because the analysis was completed by people who didn’t have the data or tools.
Instantaneous freight quotes created by a dynamic pricing tool that delivers the right price with guaranteed capacity. Mode optimization has traditionally been promised, but not delivered because the analysis was completed by people who didn’t have the data or tools.
One of the most popular tools that drives the supply chain to new heights is the process of intermodal freight shipping. Data access and analysis continue to be essential to competitive operations within the process of monitoring rates and expenses in intermodal shipping lanes.
Data represents an integral part of daily life for most people, and it is no different within the transportation industry. That insight into how freight logistics and optimization rely on data and understanding the full picture is critical to making the best improvements in supply chain route optimization too.
As further explained by Deloitte , “business cases show how new technologies – from smart sensors to advanced data analytics to cognitive computing – are transforming traditional linear supply chains into connected, intelligent, scalable, and customizable digital supply networks to help reduce costs and drive sustainable growth.”
Generative AI is first trained on a foundational model and then fine-tuned with human feedback and additional data. Its responses are based on data it has consumed and a resultant powerful prediction mechanism. Public AI is great to use for idea generation, but only put in anonymized data, that’s if you put in any data at all.
ARC Advisory Group, where I work, publishes an analysis of the 25 manufacturers with the most mature digital transformations. This survey-based research gathers quantitative data as well as information on practices or performance drivers. From a maturity standpoint, the majority of respondents are digitizing data and processes.
For these companies, maintaining profitability while protecting their margins hinges on operational efficiency and the strategic use of data. Data is critical to managing every dimension of the business. The Importance of Focused Data Not all data is created equal.
Analytics for Risk Management This isn't your grandmother's dataanalysis; we're talking about sophisticated pattern recognition that makes your shipping operation smoother than a freshly waxed surfboard. And how do you pick the right carrier if you are now receiving new data of damaged packages?
Not only are the issues related to demand planning diverse, but the cross-functional teams involved in the process require efficient tools to be able to work effectively. Organisations realised that the tools they relied on were no longer sufficient to facilitate the increased complexity of the demand planning process.
Supply chain partners have never had greater access to tools for data collection and analysis than they do now, but many are failing to take full advantage of these resources.
Data-driven transportation management , including the checks and reviews that accompany healthy data management practices, are part of the process of getting the most out of the tech stack. This remains key to the overall success of investments within supply chain analysis. Things will go wrong. Think about it.
Collaborative planning ensures that all relevant insights and data points are considered, leading to more accurate forecasts. Tools like CPFR (Collaborative Planning, Forecasting, and Replenishment) can enhance this process by aligning all stakeholders on shared objectives and data. Pitfalls to Avoid in Demand Planning 1.
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