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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 leads a team of market experts who study every facet of the logistics industry to bring the best available insight to customers.
graduate of Cornell University, Catania studied Applied Economics and Political Science, and was a Cornell Tradition Fellow. With a real-time connected network of 12 million drivers, OneRail matches the right vehicle for the right delivery so brands lower expenses and increase capacity to rapidly scale their businesses.
Key Takeaways: An Alternative to UPS and FedEx Mark Lavelle is the Chief Executive Officer at Maergo, a first-of-its-kind parcel delivery platform, purpose-built for branded direct-to-consumer delivery using modern technology and advanced data capabilities. In the podcast interview, Mark and Joe discuss alternatives to UPS and FedEx.
His primary goal has been leveraging Coyote’s proprietary technology, people, and capacity to solve pressing customer challenges. Data intelligence and market insights, reliable support and proprietary technology combine with these solutions to enable smarter supply chain decisions and strategies.
He studied Applied Mathematics at University of California Berkeley About WARP WARP revolutionizes the landscape of middle-mile logistics by strategically utilizing third-party cross docks and a diverse array of carriers equipped with various vehicle sizes, including SUVs, pickup trucks, sedans, box trucks, and 53-foot trailers.
Sean earned a bachelor degrees in Chinese Studies and International Business at University at Albany, SUNY and completed post graduate studies in Chinese at Princeton and Beijing Normal University. After gaining vital international experience in manufacturing and transpacific shipping, he took on a variety of roles back in the U.S.
A massive underutilization of capacity that lead him to start Onward! Described as the OpenTable of the box truck industry, Onward leverages a series of final mile TMS integrations to understand the real-time driving direction, capacity and performance of the big and bulky providers in their network.
Tech pioneer and founder providing deal flow origination for angels, venture capital firms, corporations and family offices in diverse yet interconnected areas including Industrial AI, IOT, Artificial Intelligence, Machine Learning, Data Science, Operations Technology, Enterprise, Telecommunications, Security & Access Control.
With a real-time connected network of drivers, OneRail finds the right vehicle for suitable delivery, so shippers gain low prices and greater capacity to rapidly scale their businesses. Premier Pet Case Study. Compete directly with the retailers and may entice customers to try other retailers. 5000 Annual List.
Understanding what consumers want With billions of dollars of orders poised to test the capacity of retailers’ shipping operations this peak season, minimizing fulfillment uncertainty and transforming customer confidence through optimized last mile delivery becomes priority one.
Their approach to transportation management is centered around flexibility, data-driven decision-making, and leveraging advanced technology to optimize supply chain operations. Heres what they shared about their services and capabilities.
Some areas in Florida have shelter-in-place orders, likely limiting available trucking capacity and shipper operations throughout the end of the week. Since more out-of-state carriers are providing services and taking routes outside of their standard area, that takes capacity out of the market and can drive up prices, according to Williford.
This means we help the team answer questions about global production footprint design, such as “where should we build our breweries,” “where should we invest in capacity,” “how much capacity should we build on which location,” “what kind of equipment should we invest in” and “when should we invest.”. a non-alcoholic beer).
Together, they break down the latest shifts in rates, the current state of capacity, and how unexpected weather events , like the rare snowstorm in North Florida, are affecting shipments across the country. The Role of Technology : How data, AI, and visibility tools are helping companies stay agile in an ever-evolving environment.
Their day doesn’t begin with traditional routines but with diving deep into a digital universe where data alerts serve as guiding stars. End-to-End Supply Chain Planning Platform The end-to-end process begins with data. The result is an end-to-end planning process operating on the highest quality data possible.
“What’s the best way to use data to beat your competition as a freight brokerage business?” That’s regardless of whether it’s an asset-based broker or just someone who works with a company to source capacity. Nevertheless, it all adds up to a greater demand for integrated systems and real-time data. Download the White Paper.
At the Descartes Evolution User Conference this past March, I attended several sessions about the MacroPoint solution and they were all standing room only , including the one where William Wehrle and David Bazzetta from BASF shared their case study. Real-time Capacity Matching: The Second Wave of Demand and Value.
Often, teams think they also need plenty of clean and accurate data to do it right. We had a financial reporting tool and based on the financial forecasting of our different sales subsidiaries, we made a forecast for products and services which was translated into a monthly demand plan and a capacity plan.
Quality and Detail of Data and its Analysis In some of our earlier posts, weve stressed the importance of simplicity in distribution network design , and we will return to that topic later in this article. It would be folly not to take advantage of data availability and accessibility.
When you want to drive down your logistics and transportation spend, the very first thing that you need is freight and transportation data. Without hard data, you can’t take action. When enterprises try to act in the absence of data, they are usually guessing and won’t get the results they need.
Mexico trade is presenting both opportunities and challenges in infrastructure and capacity. This session dives into the tools, strategies, and market shifts that are transforming cross-border logistics, offering valuable insights into the future of the industry. Navigate the Growth in Nearshoring: Understand how the growth in U.S.-Mexico
More than a year into a freight capacity crisis that shows little sign of weakening, it’s time for all parties involved in logistics and freight transportation to meet this issue head on. Freight Capacity Crisis: How Did We Get Here So Quickly? That all changed with the summer of 2017. There are No Crystal Balls.
View the Full Case Study. Having experienced market growth in size and volume of tenders, Opus9 realized its existing freight market data intelligence tools were not giving their customers the best rate information. View the Full Case Study. Bill Peterson. Opus9 General Manager.
If you’ve ever paid $10 for an Uber ride to the cocktail lounge in the evening and then a “surge priced” $50 for the same distance Uber ride back to your home only a few hours later around closing time, you understand the dynamics troubling shippers in today’s capacity constrained transportation market.
During a time of ample produce supply, capacity can struggle to meet shipping demands. In response to higher refrigerated capacity demand, dry van carriers, railroads, and LTL carriers also push for rate increases. How much will produce seasonality affect capacity? How much will produce seasonality affect capacity?
Navigate Operational Challenges: Gain a clearer understanding of drop trailer capacity, commodity trends, and lessons learned from recent market disruptions. Key Takeaways: Optimize Your LTL Experience: Discover actionable insights on adapting to evolving trends and improving efficiency based on expert advice and market shifts.
The 2024 Third-Party Logistics Study found that 95% of shipper respondents agreed that their relationships are successful and 99% of 3PL respondents agreed that their relationships are successful. The study, which was released Oct. Overall, those relationships are working. Power can become apparent during contract negotiations.
They can ingest large volumes of functional data and leverage advanced intelligence to recognize broad trends and specific disruptive events. They are applying predictive analytics and data science to choose an optimal response quickly, driven by facts and pre-defined business outcomes. billion to $23.07
Data for the BlueGrace Logistics Confidence Index is aggregated through a survey of shippers and reflects all freight transportation modes, while correlating growth or shrinkage to the overall industry volume of shipments and the price of products, according to BlueGrace. BlueGrace SVP of Managed Services Jason Lockard said that the 5.9%
In the grand scheme of things, data analysis falls into the categories of descriptive, predictive, and prescriptive. While descriptive data presents existing figures, predictive data allows you to draw insights from trends in your descriptive data in order to make an educated guess about what might happen next.
View the Full Case Study. Nussbaum Transportation Services adds value throughout its enterprise and uses data proactively to manage pricing strategies. Today, top uses of SONAR at Nussbaum include: Daily updates to show capacity changes in the market. View the Full Case Study. Providing map views of the U.S.
Often, teams think they also need plenty of clean and accurate data to do it right. We had a financial reporting tool and based on the financial forecasting of our different sales subsidiaries, we made a forecast for products and services which was translated into a monthly demand plan and a capacity plan.
The industry is moving in that direction, as augmented reality (AR) and virtual reality (VR) systems begin delivering fresh new Internet of Things (IoT) data analytics to workers in a variety of fields. “We The study, however, predates the COVID-19 virus outbreak, which will call for many market predictions to be adjusted.
Because capital costs are higher, however, company leaders must study the finances and determine if such a move would improve your ability to serve customers while remaining competitive. Not only does this spread the risk, but transportation costs are lower.
This means we help the team answer questions about global production footprint design, such as “where should we build our breweries,” “where should we invest in capacity,” “how much capacity should we build on which location,” “what kind of equipment should we invest in” and “when should we invest.”. a non-alcoholic beer).
Imagine moving cargo across continents as smoothly as computers process data. Data-centric freight exchanges and intelligent multimodal cross-docking hubs will allow haulers to move cargo effortlessly by road, rail, sea and air and seamlessly change carrier, or even transport mode, in real time.
Capacity is a very real problem impacting companies in all verticals, especially those who ship density-based freight that present further challenges. It’s no secret that the growth in the economy coupled with shortage of drivers and the ELD mandate has led to a serious capacity crisis in Less than Truckload and Full Truckload freight.
Air cargo for example, though continuing to make digital strides, is still behind – and is often compared to – passenger travel where digitized capacity, pricing and online bookings have been around for decades and is in some ways the digitalization template air cargo is referencing. But this problem isn’t new.
I am continuing to work on my latest Transportation Execution and Visibility Systems study, which looks at the total size of the market, the forecasted growth through 2026, and the leading suppliers across a number of categories including industry, region, customer size, and mode. Real-Time Visibility Data.
Bouncing back more quickly, said experts, will require supply chain managers to turn to new ways of managing the supply chain, including using Internet of Things (IoT) data, analytics and machine learning (ML). An AI system needs to be fed data sets to learn how to behave and react. And again, data quality is a huge concern.
They studied the value of getting inventory closer to customers. Carrier rates are up and climbing , even at the USPS, and carrier capacity limitations crippled some of the largest merchants who did not prepare for them. Business intelligence applied to a shipper’s own data can answer these questions and more.
I am working on my latest Transportation Execution and Visibility Systems study, which looks at the total size of the market, the forecasted growth through 2025, and the leading suppliers across a number of categories including industry, region, customer size, and mode. It is a lot harder for many companies to find capacity on boats.
With one universal touchpoint, businesses can have full visibility of inventory levels along with backend systems to handle procurement and sourcing policy changes, distribution, and lead time planning as well as analytics providing data real-time to support improved decision-making. Maintaining competitive advantage.
This pulls the capacity from not only those direct markets, but surrounding areas as well. This is where being able to monitor tender data at the market level can become your secret superpower. Both markets see decent amounts of produce, but only one sees the wide swings in freight rejection volatility due to disparities in capacity.
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