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 Adamo and Joe Lynch discuss a trillion dollars in freight transactions. Ken is the Chief of Analytics at DAT Freight & Analytics. DAT operates the largest truckload freight marketplace in North America. About Ken Adamo Ken Adamo serves as the Chief of Analytics at DAT Freight & Analytics.
The global freight sector faces growing pressure to balance cost-efficiency with environmental responsibility. With freight transport accounting for a significant share of global emissions, efforts to improve logistics now extend beyond operational metrics to include resilience, regulatory compliance, and climate performance.
Similarly, shifting freight from road to rail or waterways offers lower-emission alternatives for long-haul transport. Technologies such as artificial intelligence, IoT, and predictiveanalytics enable smarter inventory management, real-time tracking, and predictive maintenance, reducing waste and costs.
It's a collaborative relationship that can streamline and elevate your freight shipping operations. This blog provides tips and resources on how to lay the foundation for a long-term, productive and cost-effective 3PL freight services partnership! Are we using the optimal mix of freight shipping modes for our needs?
Road freight alone accounts for approximately 7% of global CO2 emissions, with maritime and air transport further amplifying the environmental burden. Reducing dependency on fossil fuels can mitigate these risks and improve operational predictability. AI-powered warehouse management improves inventory flow and reduces waste.
At the heart of CTSI-Globals portfolio is its TMS, which supports essential logistics tasks such as load planning, routing, parcel management, and freight auditing. With a global footprint, CTSI-Global manages $30 billion in freight annually and employs 500 staff across multiple countries.
They leverage AI and ML to offer predictive and prescriptive analytics, automate routine processes, identify root causes of issues, and autonomously resolve them or suggest resolutions. This approach enables the “network effect,” where each new participant adds value and increases overall effectiveness and value of the system.
Louis, MO & Chattanooga, TN — July 15, 2025 — Cass Information Systems (NASDAQ: Cass), the leading provider of freight audit and payment services, and FreightWaves SONAR, the premier supply chain intelligence platform, are expanding their strategic partnership to offer enhanced value to mutual customers this summer.
His work on better practices for optimizing freight procurement strategies has been featured in Supply Chain Management Review. Global Tariffs & Supply Chain Strategy: This episode explores how changing tariffs impact freight costs, sourcing, and overall supply chain strength. Expect insights on navigating complex trade policies.
The Logistics Data Challenge The logistics sector is awash with data, from shipment volumes and freight rates to sustainability metrics and supplier performance. university, presented at an FNL freight forwarder event, which found that 80% of the data collected in procurement events goes unused. Esch cited a study by a U.S.
Use Cases: Spend Analytics: Machine learning models analyze historical purchasing behavior to identify opportunities for cost reduction, supplier consolidation, and policy enforcement. AI systems help logistics teams manage fleet routing, freight planning, and vendor performance with greater precision.
This trend, known as reshoring , is driving the emergence of regionalized freight networks , optimizing supply chains for efficiency, cost savings, and resilience. For logistics professionals, understanding how these changes impact freight networks is critical to staying ahead. Government Incentives for Reshoring The U.S.
Whether refining freight logistics efficiency at port terminals or enhancing last-mile delivery in urban neighborhoods, V2X adds intelligence to every vehicle interaction. This is a working model for connected urban freight corridors. This type of cooperative driving is ideal for long-haul logistics.
In response, major freight operators have recently acquired advanced battery technology firms to accelerate fleet electrification. Predictiveanalytics tools enabled by AI are helping organizations optimize inventory management, reduce downtime, and improve demand forecasting.
According to a survey of nearly 400 European supply chain professionals from Maersk and Reuters Events, Supply Chain: 90% of European organisations have deployed supply chain management software/ERP; 88% have done so for forecasting and analytics; and 85% for supply chain monitoring, tracking and visibility solutions.
This is where logistics data analytics tools come in. From predictive forecasting to real-time shipment tracking, analytics tools give logistics teams the visibility and intelligence they need to compete in an increasingly data-driven world. Optimizing Operational Efficiency Every supply chain generates massive amounts of data.
Healthcare logistics managers, for example, were used to predictable supply chains, but that changed dramatically during the pandemic. Judah Levine Head of Research, Freightos Group Judah is an experienced market research manager, using data-driven analytics to deliver market-based insights.
This post will answer your questions regarding what Artificial Intelligence benefits and analytics can achieve for your company. Optimizing Supply Chains With Predictive Data AnalyticsPredictiveanalytics allows businesses to adjust their supply chains, which wasn’t feasible in the past.
Predictiveanalytics – AI and machine learning improve demand forecasting for optimal inventory and production levels. Convoy – Digital Freight Network Convoy created a digital freight network matching truckers and shippers. They also leverage data for predictiveanalytics.
Shippers don’t partner with LSPs just to move freight—they rely on them to orchestrate complex, responsive, and cost-efficient networks on their behalf. For clarity in this article, LSP is an umbrella term covering 3PLs, freight brokers, freight forwarders (FFWs), 4PLs—any party that both plans and executes freight on behalf of shippers.
Warehouse OpsAgent: The agent coordinates and manages highly interdependent tasks, including labor reallocation, supply/demand-based predictive warehouse layouts, outbound risk identification, trailer docking and unloading optimization, and risk mitigation associated with on time in full (OTIF) compliance.
Demand forecasting in supply chain management is the process of predicting customer demand, supply trends, and pricing fluctuations. Leverage ML-Powered Demand Forecasting Machine learning (ML) is transforming demand forecasting by analyzing vast datasets, detecting hidden patterns, and continuously refining predictions.
Demand forecasting in supply chain management is the process of predicting customer demand, supply trends, and pricing fluctuations. Leverage ML-Powered Demand Forecasting Machine learning (ML) is transforming demand forecasting by analyzing vast datasets, detecting hidden patterns, and continuously refining predictions.
Predictive Coding AI speeds up invoice processing in one more key way – smart workflows. Predictive coding algorithms learn from historical billing data. The predictive coding AI then automatically routes each new invoice to the right people. In the near future, expect analytics automation to go a level deeper.
End-to-End visibility —once a buzzword—is now a business imperative, unlocking the power of data analytics to improve performance, reduce costs, and manage risk with confidence. This broader, more sophisticated understanding of end-to-end visibility supports not just situational awareness—but predictive decision-making.
The more resilient organisations were more likely to have deployed control towers (+16%), a single source of truth (+12%) and predictive or prescriptive analytics (+21%). Resilient firms are leveraging this greater predictive capacity to be more agile by ordering and positioning inventory ahead of potential disruptions.
From rule-based systems to predictiveanalytics and the generative AI boom, businesses have leveraged these technologies to optimize operations, forecast trends, and create data-driven strategies. Predicts potential breakdowns and schedules proactive maintenance. AI is evolving rapidly.
Core Activities in Logistics: Order fulfillment Warehouse and inventory management Freight and shipping coordination Packaging and labeling Last-mile delivery and returns Goal: Efficient and cost-effective movement and storage of goods. It includes managing trucks, ships, planes, trains, and the infrastructure and data that support them.
Modern technology enables predictive analysis and operational adaptability. Mobile tools, integrated sensors, and predictive systems enhance both day-to-day performance and long-term risk management by providing data that supports faster, more accurate decisions across warehouse and production environments. Legacy tracking methods (eg.
By embedding analytics across logistics, sourcing, and fulfillment, businesses gain the visibility and foresight needed to stay competitive.Analytics-driven leadership is no longer a luxury; it’s the foundation of operational survival in todays volatile business environment. Analytics allows organizations to move beyond intuition.
From predictiveanalytics that forecast demand with remarkable accuracy to automation that accelerates warehouse and logistics workflows, AI is enabling supply chain leaders to make smarter, faster decisions in real time.
For example, switching from air to ocean freight for non-time sensitive shipments can reduce carbon emissions by up to 95% per unit shipped. Consider real time tracking systems that monitor emissions across different supply chain nodes and predictiveanalytics to identify emission hotspots.
This landmark event promises to be a confluence of industry leaders, innovators, and AI enthusiasts who are spearheading transformations within the freight industry. Don’t miss this chance to engage with the trailblazers who are driving the future of freight.
A lot of people overuse the term, just to say ‘I made something better,’” says Jerry Yurchisin, senior data science strategist with Gurobi , provider of a prescriptive analytics software platform built on decision intelligence technology. By itself, the word “optimize” doesn’t mean anything specific. “A
Outsourcing logistics allows companies to leverage these advanced systems and data analytics capabilities without the high costs of ownership. Among these, Freight Forwarding is a vital service that ensures goods move seamlessly across borders. This can be beneficial for those with seasonal fluctuations or changing supply and demand.
Addressing the Challenges: Practical Approaches Organizations that have successfully adopted edge computing in logistics have been using a hybrid strategy, where real-time operational decisions are managed at the edge, while longer-term analytics and broader visibility are maintained in the cloud.
Similarly, transportation networks face increased strain due to higher shipping volumes, which can result in delays and rising freight costs. Focus on Demand Forecasting and Inventory Management Advanced analytics and predictive tools are instrumental in anticipating demand spikes.
Data Analytics and Predictive Insights Data-driven decision-making is essential for supply chain success. A strong solution should provide predictiveanalytics , historical reporting, and trend analysis to help businesses optimize routes, inventory levels, and demand forecasting.
Health-related absenteeism has resulted in reduced output, while transportation delays are echoing the freight challenges seen during the height of the COVID-19 pandemic. These platforms provide dynamic route optimization, real-time visibility, and predictiveanalytics to keep supply chains moving smoothly even during crises.
Technology-driven efficiency: Wincanton employs AI-driven route optimization, warehouse automation, and data analytics to enhance supply chain efficiency and reduce costs. End-to-end supply chain management: From warehousing to freight forwarding, Kuehne + Nagel handles every aspect of logistics. order accuracy. Everything’s set up.”
The global logistics industry undergoes transformative change because of technological developments which enhance delivery services from last-mile operations to worldwide freight management. The Need for Customization in Logistics The IMARC Group predicts the global logistics market will achieve $15.5 trillion in value by 2027.
The core of this launch is ResiliencyAI, GHX’s proprietary platform that brings together predictiveanalytics, generative AI, and dynamic reporting. These capabilities are designed to help hospitals and suppliers uncover the root causes of supply chain issues, anticipate disruptions, and take swift, informed action.
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