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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.
Demand forecasting has evolved dramatically in recent years. Traditional forecasting methods often fail under high variability, leading to excess costs, stockouts, and obsolescence. What is Demand Forecasting in Supply Chain Management? What is Demand Forecasting in Supply Chain Management?
Demand forecasting has evolved dramatically in recent years. Traditional forecasting methods often fail under high variability, leading to excess costs, stockouts, and obsolescence. What is Demand Forecasting in Supply Chain Management? What is Demand Forecasting in Supply Chain Management? Image source: Stefan de Kok 2.
Keeping shipping costs under control is no small task — and unpredictable freight fuel surcharges make it even tougher. To stay ahead, you need a clear strategy for understanding and forecasting these charges. What is a fuel surcharge for freight shipping and why does it change? Energy Information Administration (EIA).
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.
Freight transportation makes up over 10% of total global carbon emissions. With rapidly increasing freight demand worldwide, it is expected to become the highest-emitting sector by 2050.1 For example, reduced emissions could result from streamlined routing or fewer trips due to improved demand forecasting.
Smaller enterprises, however, often remain limited to off-the-shelf forecasting tools or point solutions without broader system integration. Forecasting and Replenishment Logic Short-horizon demand forecasting has shifted from batch to continuous models. shifting macroeconomic indicators).
60% of global emissions originate from supply chains, and eight key industries account for 50% of these emissions, including food, fashion, construction, and freight. Additionally, audit-compliant emissions can be collected from output intermodal freight and transshipment without granular shipment leg information.
FreightWaves has announced that Leland Miller, CEO of China Beige Book International, will deliver a keynote address at the upcoming Future of Freight Festival (F3) this November. The event, a premier gathering for freight and logistics leaders, promises to equip attendees with forward-looking strategies amid ongoing U.S.-China
In April, freight company HLS Group reported 80 canceled sailings from China as trade tensions with the U.S. To keep operations and supply chains stable amid the volatility of today’s global trade dynamics, companies need a freight strategy that can flex under pressure. intensified. That means going multimodal.
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?
He has held leadership roles such as Vice President of Linehaul & Central Dispatch Operations at Yellow, Director of Network Operations at YRC Freight, and various operational and sales leadership positions with both YRC Freight and Roadway Express over the course of his well established transportation career.
Road freight alone accounts for approximately 7% of global CO2 emissions, with maritime and air transport further amplifying the environmental burden. Key strategies include: Electrification of Transport: The use of electric vehicles (EVs) for freight and last-mile delivery reduces emissions and operational costs.
When a new tariff is proposed, companies using AI-based forecasting tools are often able to adjust their sourcing or logistics strategies well before the policy takes effect. Rather than planning based on a single forecast, supply chain teams can evaluate multiple options in parallel: What happens if tariffs increase by 15%?
By applying machine learning, natural language processing, and real-time optimization, businesses are improving forecasting, reducing costs, and responding to complexity with greater consistency. Workforce Scheduling: Algorithms forecast labor needs based on inbound/outbound volume projections, product mix, and expected fulfillment deadlines.
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.
Download Executive Summary Transportation Execution Systems – Digital freight is here. Unpack the platforms powering smart freight routing, carrier management, and cost control. Learn how marketplaces and execution platforms are redefining agility in logistics.
From Red Sea shipping disruptions that are rerouting global freight to rising tariffs and shifting labor markets, volatility has become the new baseline. Leaders need to know why a forecast changed, what data influenced it, and how much confidence to place in it. The rules of supply chain planning are being rewritten in real time.
Supply Chain Matters highlights updated forecasts and support services related to the 2024 holiday fulfillment period. Pre-Covid Normalcy This week the National Retail Federation (NRF) issued its holiday sales forecast for the November thru end of December period. Noted was that spending is expected to increase between 2.5
For each affected item, calculate the total cost increase including not just the tariff itself, but associated freight, handling, and cash flow implications. Integrate tariff considerations into your sales and operations planning (S&OP) cycles so these factors influence demand planning, capacity allocation, and financial forecasting.
Examples are consensus forecasting, the evolution of the SCORE model, the Annual State of Logistics Report, and the Gartner Top 25. The report mentions the freight recession, but is largely silent on the impact on business resiliency. Social media fuels Groupthink, and now there is ChatGPT (groupthink on steroids).”
Against a backdrop of US tariff uncertainty and geopolitical instability, European supply chains are backing technology as a key response, with supply chain management software and forecasting technologies found to be deployed most widely and the capabilities most likely to generate resilience.
With features like Direct Data Mapping and a GenAI layer called Nexus for natural language queries and dashboard generation, Incorta enables real-time AI-driven insights, reducing ERP data load times by 60% and excess inventory by over 10%, fostering faster forecasting and disruption planning.
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.
Show us the best way to fix the freight delays!” Advanced demand forecasting based on machine learning, for example, is a classic example of the use of AI in supply chain management. For example, we’re working on telling the solution that it has a budget. You have a budget of $5,000,000 and here are some other parameters.
If your business depends on freight shipping, you've likely felt the effects of a world that seems to change overnight. When tariffs rise, fuel prices spike or international trade agreements shift, those cause ripples across all freight modes — truck, air, rail and ocean. Natural disasters. Tariff swings.
In response, major freight operators have recently acquired advanced battery technology firms to accelerate fleet electrification. Predictive analytics tools enabled by AI are helping organizations optimize inventory management, reduce downtime, and improve demand forecasting.
AI also improves the efficiency and cost-effectiveness of supply chain operations, both in terms of automating processes, and finding ways to refine pricing strategies and take advantage of forecast trends. And the cherry on top? Teams are more transparent and closely connected, further improving efficiency when responding to an event.
Traditional supply chains followed a linear path from forecasting to planning to execution, with each step often completed in isolation before moving to the next. Gone are the days of monthly forecasts based solely on historical data. First, we’re moving from sequential to concurrent planning and execution.
Peak season brings unique pressures on supply chain management, from forecasting demand to ensuring timely deliveries. Accurate demand forecasting becomes paramount to striking this balance. Similarly, transportation networks face increased strain due to higher shipping volumes, which can result in delays and rising freight costs.
From vendor selection to route planning and landed cost forecasting, every part of the process is being affected. Carrier and Freight Strategy Adjustments Tariff-related rerouting has prompted carriers to rethink their strategies: Ocean carriers are restructuring trans-Pacific lanes to avoid ports with elevated duties or delays.
Logistics service providers—from freight forwarders, 3PLs, and 4PLs to warehousing operators and drayage companies—became the first line in the supply chain to absorb financial impact during those chaotic initial weeks. The freight forwarder receiving that container must decide whether to absorb the cost or pass it to the shipper.
Core Logistics Activities: Order fulfillment Warehouse and inventory management Freight and shipping coordination Packaging and labeling Last-mile delivery and returns management Goal: Ensure efficient, cost-effective movement and storage of goods. Transportation oversees ocean freight and trucking.
Retail sales also softened in May , prompting many economists to forecast further weakening in the second half of the year as the full impact of tariffs begins to filter into prices. In environments like this, demand forecasts tend to lose accuracy—putting added pressure on transportation networks to remain agile and responsive.
This leads to incredible precision in forecasting. The result is inaccurate forecasting of deliveries and corresponding safety stock levels. By deploying intelligent AI-driven software, integrated with its ERP, the company was able to optimize forecasting through enhanced inbound planning visibility.
With forecasts suggesting a hotter and drier year for Europe, Zheng emphasized the need for vigilance concerning natural phenomena like wildfires and hurricanes. Climate risks also constitute a formidable challenge. Digitalization further emerges as a cornerstone of future resilience.
Benefits for these customers include automated notifications for key operational locations, daily executive briefings with 72+ hour forecasts on major weather threats, and access to comprehensive risk data. The WeatherOptics team has the best meteorologists focused on transportation,” said JulieVan de Kamp, Chief Customer Officer at SONAR. “At
Koganti said this is the fastest-growing use of AI in supply chain, especially when it comes to forecasting, procurement and fulfillment. He sees a near future in which there are multiple agents, each with their own realm of responsibility, such as shipping, pricing and forecasting.
This enhancement to the high-frequency freight market intelligence platform aims to provide shippers, carriers, and brokers with critical insights for navigating the volatile transportation market. These data-driven insights are crucial for enhancing forecasting and long-term strategic planning.
For export, favoring speedier air freight despite its higher costs might be an investment in maintaining your brew’s flavor at its peak. Partnering with a well-informed freight forwarder can ease your distribution process significantly. As such, planning your production schedule around these demand swings can be tricky.
With global freight demand expected to triple by 2050 and transportation already accounting for 14% of global greenhouse gas emissions, logistics leaders are under immense pressure to rethink operations. AI can forecast demand, aggregate orders, and intelligently cluster deliveries to maximize vehicle utilization and minimize trips.
From rule-based systems to predictive analytics and the generative AI boom, businesses have leveraged these technologies to optimize operations, forecast trends, and create data-driven strategies. Analyzes IoT sensor data, weather forecasts, and vehicle performance metrics. AI is evolving rapidly.
In today’s fast-moving supply chain environment, data is as valuable as the freight itself. Lack of Verification Errors in freight bills (often 3-8% of total spend) go unnoticed. Yet many companies remain overwhelmed by fragmented, inaccurate, and delayed data that leads to poor decision-making and financial leakage.
An efficient supply chain strategy is one that takes every aspect of your supply chain into account, from inventory management and warehouse design to freight tendering and transport optimisation. This is why it’s important to map out your entire freight operation. What is Supply Chain Efficiency?
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