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Data is a big buzzword across industries, but how about when it comes to logistics? William shares how they transform data into critical actionable information that optimizes and powers operations throughout businesses. Beyond The Data with William Sandoval. Our topic is beyond the data with my friend William Sandoval.
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.
Kevin Hill and Joe Lynch disucss freight brokerage tech trends. Key Takeaways: Freight Brokerage Tech Trends Kevin Hill and Joe Lynch disucss freight brokerage tech trends. Kevin is the Owner of Brush Pass Research , a sales and marketing research firm that helps companies sell to freight brokerages across North America.
About DAT DAT Freight & Analytics, a subsidiary of Roper Technologies (NYSE: ROP), boasts the largest North American truckload freight marketplace, with data representing over 400 million freight matches and $150B+ in annual transaction data. Greenscreens.ai’s dynamic pricing infrastructure built to grow and protect margins.
Gartner observes several trends in this market for data analytics and intelligence. One overarching theme is the convergence of analytics & BI, data science and AI. This report covers market analysis on: Supply chain specific market trends - what are supply chain organizations looking for?
In transportation, digital freight procurement and asset tracking & data mining are in broad use. Around 80% of LSPs and 68% of shippers cited the cost/ROI analysis as the biggest challenge for transportation transformations. The post Top Transportation Technology Trends appeared first on Logistics Viewpoints.
quintillion bytes of data every day. For companies that want to go beyond the traditional spreadsheet, which cannot handle this ocean of information efficiently, statistical methods such as cluster analysis can help. What is Cluster Analysis? The retail industry is rich with data. On average, we humans generate 2.5
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. monthly impressions.
Various trends influence the Geospatial Information Systems market: the adoption of digital technologies, out-of-the-box GIS offerings, cloud and mobile deployments, and location-based analytics. So, when I learned that GIS can effectively be used for traffic analysis and management, my interest piqued. How Does GIS Help?
It’s common to run into data overload throughout this process, leading to disparate systems, information silos, and the inability to navigate external challenges. The future of the supply chain industry will take the emotion out of decision-making by leveraging innovative technology to transform raw data into actionable intelligence.
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.
In a prior post , I wrote about the various ways data is transforming global supply chains. Data is the raw fuel of digital transformation and the linchpin to accelerating industry collaboration, automation, predictive insights and so many more cutting-edge capabilities (including those yet to be invented). So, what is quality data?
Meeting today’s logistics challenges of the three C’s – customer service, carbon, and cost – companies are not just looking at gathering data, but also how to better interpret and understand this data, and then use it to drive additional value. How about your need for a seamless corporate transportation analysis?
From a financial standpoint, transportation cost analysis remains focused on determining the value of the resources used to execute a given shipment and goes well beyond benchmarking. Moreover, this kind of analysis does not focus on who ends up paying which expenses in the end. The challenges of limited transportation cost analysis.
To do that, you need to access accurate data and create insightful reports for GL, as well as other finance and operational needs. The challenge is that many teams also rely on manual data exports from their ERP or ‘data dumping’ into Excel to report on and analyze their data beyond what standard reports offer.
Today we’re going to look at some of the consumer trends that might affect your preparations for peak season 2024, and strategies to maximize them. 2024 Consumer Trends Early this year, HubSpot released its 2024 Consumer Trends Report. Trend #3 More than half of consumers are being more careful with spending.
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.
Reaching mutually beneficial service level agreements (SLA) or trade agreements depends on the access and utilization of current logistics data and a decent amount of preparation. Far too often, there is a severe lack of real-time logistics data to work with during this process. Download the White Paper.
While there will be many innovations in 2023, here are eight trends for manufacturers to focus on when planning their digital future. The interconnectivity of devices will generate huge amounts of data via the Industrial Internet of Things (IIoT). IIoT is a framework for smart machines with embedded sensors and network connectivity.
Preliminary November North American Class 8 net truck orders saw both sequential and annual declines, according to recent data respectively issued by freight transportation consultancy FTR and ACT Research, a provider of data and analysis for trucks and other commercial vehicles.
Image Source: Pexels | Exploring Top 10 Logistics Trends for 2023 and Beyond The adoption of new technology will modernize your company, ensure strong competitive advantages, and make jobs that before looked difficult efficient and productive. The sent data can be seen on a map, enabling continuous shipment status monitoring.
Data access and analysis continue to be essential to competitive operations within the process of monitoring rates and expenses in intermodal shipping lanes. Data access to see savings compared to truckload and other shipping methods. Data accuracy can and does impact freight transportation in a significant way.
Global trade data and shipping demand management are not just things that high-tech companies and international investors need to worry about. This focus makes proper use of global trade data and analytics so vital for continued recovery and growth throughout the supply chain network. Streamline data collection and analysis.
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.
What is Machine Learning ML is the computing engine behind AI and gives computers the ability to make sense of, and learn, from data to perform specific tasks without manual interference. Nine areas where AI can help manufacturers There are several ways in which data and AI can be applied in the manufacturing industry. The Industry 4.0
They offer a Custom Content Growth Model that includes strategies such as brand and content strategy, audience research, competitive analysis, and digital content roadmap. They also serve the trucking industry by offering brand and content strategy, audience research, competitive analysis, and digital content roadmap services.
26 algorithms are examining the video data in real-time. The post Autonomous Truck Trends for 2022 and Beyond: Can Autonomy Safely Address the Driver Shortage? One solution in this area comes from Nauto. Nauto bills itself as “the only AI-powered, driver and fleet safety platform that predicts, prevents, and ends distracted driving.
I tend to use time series analysis as an anchor to my forecast, as I suspect many of you do. These current factors, in addition to the atypical activity of the recent past (whipsaw demand pattern), render time-series trends less relevant than in more stable environments. So, what methods can we apply to better gauge future trends?
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. Integrate with External Tools and Data: AI Agents can augment their inherent language model capabilities with APIs and tools (e.g.,
Erwin highlighted the importance of real-time data accuracy and visibility. People, technology, and data are very important for their journey. The importance of employee ownership in driving cultural transformation and their acceptance of data-driven decision making within the organization was also emphasized.
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.
Motive's data-driven analysis offers insights into preventing accidents and improving road safety. Discover the most dangerous roads for commercial truck drivers and understand the factors contributing to holiday-related crashes.
Real-time data is critical to the supply chain’s smooth operations day in and day out. Faster communication with automated messaging and data sharing. Data collection and analysis can be accurately applied to the network. Document recording, sharing, and filing options streamline data processing.
H aving access to real-time freight data and being able to make good use of it is essential for global trade and maritime shipping. Global retailers use data to understand lead time Successful supply chain operation at any stage hangs on the ability to stay on top of shipping and transport logistics. Download the White Paper.
billion in 2022, this trend continued in the first nine months of 2023. This data reflects not only the adaptability of the Turkish carpet sector but also its ability to recover and regain momentum in the ever-evolving global market. The post Turkish Carpet Exports: A Quick Analysis appeared first on More Than Shipping.
Making the most out of today’s challenging supply chain trends requires a deep understanding of the market and timely information that helps you achieve a competitive advantage. Q1 2022 Supply Chain Trends and Hot Topics. Watch the video for a deeper look at the challenges and impact of Clearinghouse data: 8.
Much has been made in recent weeks about supply chain data providers changing historical metrics. Well, maybe you should, since it’s the title of the blog…DATA INTEGRITY MATTERS! SONAR isn’t yet the longest-running or most-used data source in the trucking world (but we’re getting there!). Today, SONAR is made up of more than $1.7
Image source: iStocks | Top 7 Most Impactful Logistics Trends to Watch in 2025 As another year comes to an end, managers and business owners are dedicating themselves to a crucial stage in the success of any business: evaluating what worked and what can be improved in their operations.
Organizations must take the following steps to bring departments together to create truly resilient and sustainable supply chains: Leverage external data to sense market shifts Look to external causal factors and forecasting models to identify market shifts. <br>- Use external data for forward-looking decisions.
ERP systems essentially integrate all the disparate functions within your business and overcome the so-called ‘silo mentality’ by creating a single, centralized data architecture. The ERP software collects, stores and manages data relating to business activities. What’s Your Business IQ?
Mr. Wood believes there is a significant trend that is occurring with respect to the trade compliance department in companies. McKee from SAP agrees that many companies have moved past a narrow focus on following the law towards a major trend towards using GTC solutions for duty minimization.
ERP trends 2024 – achieving business success through the use of innovative technologies Now that Artificial Intelligence and Machine Learning are firmly established, we expect to see a massive take-up of these technologies by manufacturers in 2024. The other emerging area around AI in ERP focuses on trendanalysis and forecasting.
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.
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