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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. Adamo has been quoted in the Wall Street Journal and extensively in trade publications as a leading voice on freight market trends.
Neal has over 40 years in software development, innovation, and product management rollouts spread across the telecommunications and enterprise software industries. He played a role in the first Fiber to the Home technology deployed in Loudon County, Virginia in 1999.
The current AI landscape can be viewed as a series of wars,” where companies and organizations are battling for dominance across various technological and market battlefronts. Datacenter Hardware: The demand for powerful computing to train ever larger and more accurate AI models is insatiable.
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Recent disruptions have exposed significant vulnerabilities in traditional models, driven by geopolitical instability, fluctuating demand, and operational inefficiencies. A data-driven, technology-enabled approach is required to build resilience and efficiency. Automation is reducing reliance on labor in critical processes.
CTSI-Global operates at the intersection of logistics and technology, focusing on solutions that address the challenges of transportation management. Designed to integrate seamlessly with enterprise resource planning (ERP) systems through APIs and batch processes, the TMS facilitates smooth data flow and operational efficiency.
Three months into 2025, we have seen a barrage of on-again, off-again tariffs that have supply chain and logistics teams reeling, as they must rethink everything from next weeks shipping route to their foundational network models. That may sound impossible, but new technology places this capability within the reach of every organization.
From autonomous vehicles to predictive analytics and advanced tracking, AI technologies are reshaping how goods are moved, monitored, and managed across the globe. The future of AI in logistics promises even greater advancements, with emerging trends pointing toward a more intelligent, responsive supply chain.
From balancing cost-efficiency with ethical sourcing to enhancing transparency and integrating corporate social responsibility (CSR), businesses face mounting pressure to align their operations with sustainability, technology, and energy practices. The energy sector provides a compelling example of CSR-driven compliance.
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Organizations examine past sales trends, apply seasonal adjustments, and make forecasts based on historical models. When unexpected disruptions occura factory shutdown, a shipping delay, or a supply shortagethese models provide little flexibility. Executives are left making high-stakes decisions with incomplete information.
During COVID, this more agile and resilient model allowed the firm to grow their market share. Jack Fiedler : We’re unique in the technology industry. We’ve taken the same hybrid approach from a supply chain technology perspective. I’m responsible for the overall digital transformation, including technology.
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Manufacturers rely on data and their ERP platform to answer critical questions: What are our inventory levels? Mid-market manufacturers need a tool that’s tailored to their needs. The BI tool needs to be able to easily pull all this data together for analysis. How much does it cost us to manufacture this product?
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. But, what about the logistical chain?
Lately the term “socio-technical system has been starting to show up more and I thought this would be an opportunity to weigh in on what I think it means. People who try to describe the meaning tend to describe a system “that integrates the social and technical aspects” or words like that. The Long Wall Method.
Automate: utilizes technologies such as RPA, IDP, and IPaaS. iPaaS provides a comprehensive set of tools for connecting applications. Overall, the executive-led sessions provided a comprehensive look at Infors strategy to deliver value through its industry-specific cloud platform and integrated advanced technologies.
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billion rate data points monthly to provide the most comprehensive view of the market, helping you identify savings opportunities and make data-driven decisions. billion rate data points monthly to provide the most comprehensive view of the market, helping you identify savings opportunities and make data-driven decisions.
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As digital technologies embed themselves across supply chains, they will inevitably rewire existing business models into industry platforms. The question is not “if” or “when,” but “how” best to anticipate and get ahead of supply chain platform disruptions. The Role and Benefits of Supply Chain Platforms.
It is a brilliant tool.” The enterprise software company also announced a new analytics solution covering external workforce management. SCCN solutions allow trading partners to collaborate across defined trading partner processes based on a common data model. Those types of disagreements disappear in a SCCN platform.
One of the technologies that will see enormous growth in 2022, is Enterprise Resource Planning (ERP). So, what are the major ERP softwaretrends and how will they unfold in the coming year? So, what are the major ERP softwaretrends and how will they unfold in the coming year? ERP will become smarter.
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Technology for All In a retail era dominated by e-commerce giants, customer expectations have shifted towards instant product delivery at no cost. To meet these demands and ensure superior delivery experiences, retailers and carriers must leverage last-mile delivery technology.
An automotive company I collaborated with conducted detailed modeling of potential tariff impacts on semiconductor supply chains. Technology Integration : The adoption of artificial intelligence has proven transformative in supply chain management.
If there’s a bright spot anywhere it’s the fact that, as logistics challenges have grown, so has the availability of advanced technologies to manage these challenges. For logistics teams, digital control towers add maximum value when they’re integrated with the transportation management system (TMS). Warehouse Task Automation.
I remember reading an MIT paper on manufacturing technologytrends a couple of years ago. According to industry standard ASTM F2792-10 , AM is defined as, "The process of joining materials to make objects from 3D model data, usually layer upon layer, as opposed to subtractive manufacturing technologies.".
This article comes from Carlos Díaz Madero, Subdirector Marketing at netLogistiK , and looks at the key trends that are transforming supply chain management. In this context, it is crucial to be aware of the emerging trends transforming the supply chain management field. ” – Sam Walton, CEO, Walmart.
Even digital advancements, like Enterprise Resource Planning (ERP) systems, only partially solve these challenges because they still need centralized oversight and reconciliation. Smart contracts are software programs that self-execute and are stored on a blockchain. Smart contracts offer a new approach.
Tools like CPFR (Collaborative Planning, Forecasting, and Replenishment) can enhance this process by aligning all stakeholders on shared objectives and data. Integrated Data Systems: High-quality, integrated data systems are vital. Regular Reviews and Adjustments: Demand planning is not a "set it and forget it" process.
Staying up-to-speed in leading technology requires time and investments. With all the current and upcoming logistics technology, it can be confusing for shippers to identify what will have the best impact to stay competitive now and in the future. HOW LOGISTICS TECHNOLOGY CAN HELP. WITH CAPACITY. WITH RISK MANAGEMENT.
By leveraging these technologies, businesses can optimize operations, reduce costs, and make smarter, data-driven decisions. Instead of static data, AI-powered systems continuously update matrices based on real-time inputs like demand fluctuations and shipping delays. In case you missed it!
By leveraging predictive analytics and a just-in-time (JIT) inventory model, you can maintain optimal stock levels, which reduces storage costs and cuts down on waste from unsold items. Embrace Automation for Efficiency Automation has proven to be a powerful tool for cutting supply chain costs across various industries.
This has paved the way for innovative models such as Delivery as a Service (DaaS), which promises to streamline the delivery process. Delivery as a Service encompasses a range of technologies and systems designed to enhance the logistics of transporting goods. Table of Contents [Open] [Close] What Is Delivery as a Service?
As a result, companies should create carrier scorecard standards that apply advanced analytics, namely predictive modeling, to consider market volatility and overcome it. Use predictive modeling to determine expected carrier costs based on different scenarios. Measure invoiced rates against market trends. Request a SONAR Demo.
This trend is expected to continue, making it essential to find ways to mitigate these costs. Optimize Your Shipping Processes: Implement shipping software and automation tools to streamline your operations and reduce costs. Consolidate Shipments: Ship multiple orders together to reduce shipping costs per unit.
Therefore, businesses need reliable and robust systems to capture and maintain this data. It provides a decentralized platform where once data is recorded, it cannot be changed. These IoT systems help businesses maintain near real-time information on their products.
Understanding their trends is crucial for maximizing marketing ROI and driving business growth. One of the most powerful yet underutilized tools for achieving this is decile data analytics. By categorizing customers this way, businesses gain insights into overarching trends and identifiable behaviors within specific client groups.
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In the first issue of our AI popup newsletter series, Matt Motsick, CEO of Rippey AI and a long-time logistics technology leader, explores buying or building AI models. Matt was previously the founder/CEO of Catapult International, the industry leading ocean shipping rate management system.
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