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
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.
We follow an exhaustive list of supply chain and logistics blogs to make this possible. If you want to start learning, we suggest you check out these top logistics and supply chain blogs. Top Logistics and Supply Chain Blogs We Love. Ship Lilly. China carrier relations and much more. More Than Shipping. Logistics Viewpoints.
At the F3: Future of Freight Festival in Chattanooga, Tennessee, last week, FreightWaves Chief Data and Technology Officer Daniel Pickett announced the release of flatbed spot rates via API. For now, flatbed spot rates are only available to API customers but will be integrated into the Market Dashboard+ app in the SONAR UI in the near future.
Blog " * " indicates required fields Email * Name This field is for validation purposes and should be left unchanged. Freightos Air index data shows Middle East – N. Europe prices (FBX11 Weekly) fell 3% to $3,523/FEU. Asia-Mediterranean prices (FBX13 Weekly) fell 5% to $3,927/FEU. Europe weekly prices were level at $3.81/kg.
Eliminating Inefficiencies: Onward’s data-driven platform tackles the inefficiencies of traditional big and bulky delivery. This premium service is available not just in major cities but also in underserved areas, thanks to Onward’s expanding network of qualified professionals.
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.
An ERP system is a valuable asset for automotive distributors looking to leverage the data they create and use. An ERP provides a central repository for all a distributor’s data. The data can be used to identify inefficiencies in the supply chain, improve inventory management, and streamline operations.
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 empowers teams to improve processes, reduce costs, and increase efficiency.
Solution: In TrakItPRO, all data is updated in real-time, giving you access to the most current information at your fingertips. Informed Decision Making: With comprehensive, real-time data, make decisions that positively impact your bottom line and enhance operational efficiency.
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
Robinson’s own technology and data from the largest network in the freight industry, help our customers stay on top of the trends that influence their supply chains. As a researcher at Michigan State’s Broad College of Business, I will explain how I arrived at this figure, based on availabledata. Analysis of employment data.
Driver availability in the delivery, transportation and logistics sectors has become a critical issue with widespread ramifications for businesses and consumers alike. Current State of Driver Availability Statistics The trucking industry, which is pivotal to the economy, is grappling with an unprecedented shortage of drivers.
Capacity & Supply Chain Hurdles : How ongoing challenges in the market are affecting transportation availability and what it means for shippers. The Role of Technology : How data, AI, and visibility tools are helping companies stay agile in an ever-evolving environment.
Supply chain intelligence and actionable insights must apply the most accessible, near real-time dataavailable. Analytic data resources for brokers are great, but it’s equally important to realize that FreightWaves SONAR is much more than a broker-exclusive resource. Market dynamics of freight management can turn on a dime.
Data for data’s sake lacks value, especially in the view of the supply chain. And across the market, submitted data becomes rapidly outdated. And in some industries, outdated data can have disastrous consequences. For instance, take the value added by more accurate data in the health industry.
Some areas in Florida have shelter-in-place orders, likely limiting available trucking capacity and shipper operations throughout the end of the week. There’s a generally well available capacity for transportation today.” Now those trucks are not where they thought they were going to be, so now we have to find other trucks there.
Shippers are at a disadvantage in negotiations with carriers and brokers unless they have adequate data and real-time information surrounding the freight market. The lack of information available to shippers leaves them vulnerable when it comes to holding carriers accountable, especially in times of disruption. Request a SONAR Demo.
(Graphics created by Emily Ricks) There are ample opportunities to take advantage of spot versus contract freight data insights. Consider this; as reported by Louis Columbus of Forbes , “Machine learning algorithms and the apps running them are capable of analyzing large, diverse data sets fast, improving demand forecasting accuracy.”
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.
Original article: PODCAST: Modern Courier Delivery Compliance Considerations: Understanding SOX and SOC Compliance Logistics and supply chain are some of the world’s most complex and regulated industries, which has been further compounded by increasing reliance on data and technology in both fields. What Is SOC Compliance?
The abundant data sources can make the process of assessing the market more difficult than necessary. Shippers and carriers should make more definitive decisions in selecting their data sources. Because data sources matter to assess accurately and objectively the over the road trucking market. . Download the White Paper.
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.
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.
Mobile data can play a pivotal role in building the supply value chain. Mobile devices have functions that provide valuable data for the supply value chain. But even more importantly, this freight data enables shippers to optimize their company’s operations in various ways by avoiding overspend and more.
The SONAR Lane Score is now available in Descartes Macropoint Capacity. Direct access to SONAR Lane Score within MacroPoint Capacity helps brokers maximize efficiency by bringing in useful data into one platform. The post Descartes and FreightWaves combat capacity crunch with real-time lane data appeared first on SONAR.
Big data and predictive freight rates in the digital supply chain are nothing new. Nearly all shippers, brokers and carriers collect and use data to derive insights, including predictive rates. Unfortunately, the most robust applications of that data will quickly diminish in value as data ages.
Automated Slotting — Systems integrations enable ShipMonk to automatically assign each SKU an optimal storage location within our warehouses, based on the item’s size, expected order volume, and warehouse technologies available. Contact ShipMonk today.
Real-time data With technologies such as the Internet of Things (IoT) , data creation is happening at an exponential rate, meaning that manufacturing in the 21st Century isnt so much based on gut-driven decisions anymore but rather on data. It eliminates duplicate work and ensures everyone works from the same accurate data.
If youve followed our blog over the years, youll know that weve shared lots of information about distribution network design, why its vital to get it right, how long it should take, the importance of reviewing the network every so often, and various elements of design such as determining the number of warehouses and where to locate them.
In this blog, we’ll explore practical strategies tailored specifically for food and bev shippers, focusing on forecasting methods and inventory management practices that can effectively address retail demand shifts. Food and beverage shippers can achieve this by analyzing historical data and market insights.
In our previous blog, we explored how matrices enhance supply chain efficiency, from inventory management to logistics. By leveraging these technologies, businesses can optimize operations, reduce costs, and make smarter, data-driven decisions. Now, were taking it a step further. In case you missed it! Read More In case you missed it!
They help businesses organize and analyze data, leading to better decision-making and improved efficiency. In this blog, we’ll explore how they are used in various aspects of the supply chain, including transportation, inventory management, demand forecasting, and network optimization.
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.
Blog " * " indicates required fields Email * Email This field is for validation purposes and should be left unchanged. I can’t export maritime incident data from the US Coast Guard (which could use some tech) but based on this report there were 18 bridge allisions in the United States between 1960 and 2015.
decision-making by using data and creating more accurate predictions. Data is the key ingredient for AI. The amount of data required depends on the goals of AI. For longer-term decision assistance, very large volumes of data are needed – the millions of rows. Do not underestimate the data challenges.
Blockchain’s tamper-proof nature eliminates any concerns over data validation, costs of managing data, time delays, and human errors. Decentralized data in blockchain also enables real-time visibility into the supply, applicable to optimized supply chain management. Instead of isolating data, shared data empowers all parties.
Blog " * " indicates required fields Email * Phone This field is for validation purposes and should be left unchanged. Capacity shifts to Red Sea lanes and the transpacific – where rates are extremely elevated and attractive to carriers – are also impacting vessel availability to the Middle East. kg China – N.
By analyzing the set of vehicles available, the human resources, and the processes required for each delivery, it becomes easier to increase efficiency, agility, savings, and safety. A lower volume of incidents means that vehicles are available for operation for longer.
Blog " * " indicates required fields Email * Name This field is for validation purposes and should be left unchanged. One of the key themes that emerged was the growing importance of data standards and integrations. The rate of tech adoption in logistics continues to grow. are growing too.
This blog discusses how manufacturers can start making AI a reality. Machine learning (ML): Using algorithms and data to detect patterns without being explicitly programmed to do so automatically. ML and DL are mainly used in data analysis, classification, clustering, and ranking. ML models learn from data.
However, technology options are available for manufacturers to use that can help digitalize their operations without the expense (not to mention production downtime) of plant upgrades. This will result in increasing automation, improving communication, and much greater availability of real-time information upon which decisions can be made.
But I was shocked to see my dad’s size was not available in stock. Is there a way they can improve availability during these special day promotions, so shoppers like me are not disappointed?”. With the availability of a multitude of tools and digital solutions, all this processing and prediction can be easily automated.
To manage this delicate balance of demand and supply, manufacturers often use statistical forecasting techniques to predict future demand by looking at historical sales data. The program uses built-in intelligence that perform data analytics in the background and select the most suitable algorithm for each item to be forecasted.
Manual production lines are switching to automated assemblies and valuable data is being used to discover actionable insights into manufacturing operations. IoT sensors in the supply chain and robotics in factories are fluently available. Improved quality and availability of information to provide critical business insights.
We organize all of the trending information in your field so you don't have to. Join 84,000+ 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