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We spoke with CTSI-Global to learn more about their approach to transportation management and the solutions they provide for businesses navigating the complexities of supply chain operations. CTSI-Global operates at the intersection of logistics and technology, focusing on solutions that address the challenges of transportation management.
The transportation, logistics, and energy storage sectors are undergoing profound transformation, driven by rapid technological advancements, evolving consumer expectations, and the global pursuit of sustainability. In transportation and logistics, this has manifested as a significant focus on electrification and renewable energy integration.
Freight transportation makes up over 10% of total global carbon emissions. Reducing emissions from transportation is crucial to achieving organizations sustainability goals. Most organizations have public commitments to reduce their carbon footprint, with some of the more aggressive goals promising net zero emissions as early as 2040.
One essential tool used by the supply chain team is supply chain design. One key tool they use to accomplish this is a supply chain design solution from Coupa. As Schneider Electric matured with the network design tool, they also found they could drive savings through shipment consolidation.
Supply chain technology leaders need to be well-versed in the arena of real-time transportation visibility platforms (RTTVP) vendors. The report also features an interactive tool to help you find the best fit for your business. But finding one RTTVP that covers all the bases can be a daunting task. Ready to get started? Download now!
Transport Layer: Ensures dependable data transfer. Transport Layer: Reliable Delivery The transport layer ensures that goods and information are delivered reliably, similar to how data packets are delivered in networking. For example, coordinating inventory management systems with demand forecasting tools. •
In alignment with its end-to-end supply chain strategy, Blue Yonder will now be able to assist its customers in automating the collection and exchange of shipment data from logistics suppliers, facilitating accredited and traceable emissions calculations across all transportation modes, including air, inland (truck, rail, barge), and sea.
Trusted by over 1,400 shippers—including 13 of the Gartner Supply Chain Top 25 and 78 Fortune 500 companies—DAT iQ delivers real-time insights, benchmarking, and forecasting tools that optimize operations, mitigate risk, and improve profitability for supply chain shippers.
This of course generates carbon from transportation activities. In the early 2020s, Microsoft’s transportation and logistics team needed to meet growing demand for cloud services while managing carbon, cost and cycle time. Microsoft’s transportation is outsourced to carrier partners.
Excess inventory, stockouts, and increased transportation expenses are common consequences of outdated planning methods. AI as a Predictive Tool AI-driven supply chain planning integrates machine learning, real-time data analytics, and external risk monitoring to anticipate disruptions before they materialize.
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.
It is not a technology on its own, but rather a process that combines planning, execution, and monitoring through integrated tools and workflows. Orchestration tools help keep everyone working from the same information, reducing the chance of miscommunication between departments or suppliers.
Most effective AI implementations today are designed to improve decision-making, reduce routine tasks, and increase operational efficiency through human-in-the-loop systems and decision support tools. Warehouse and transportation staff still manage fulfillment decisions, but AI provides improved visibility and supports faster planning.
We have all our factories, both in-house and outsourced, all of our distribution centers, and our transportation network on the Blue Yonder foundational system. We can run a plan simulation to maximize revenue, maximize shipments, maximize the customer experience, or minimize transportation costs.
is redefining transportation by integrating IoT sensors into vehicles, fundamentally shifting fleet operations. Partnerships with specialized technology providers such as Samsara offer organizations the tools and support to manage these complexities more effectively. The Evolution of Connected Fleet Ecosystems Fleet Management 2.0
Understanding AI Agents At its core, an AI Agent is a reasoning engine capable of understanding context, planning workflows, connecting to external tools and data, and executing actions to achieve a defined goal. Integrate with External Tools and Data: AI Agents can augment their inherent language model capabilities with APIs and tools (e.g.,
In an increasingly globalized world, logistics and transportation have taken center stage in the successful operations of businesses worldwide. Emerging from the shadows of standard methods, custom logistics and transportation platforms are shaping the future of the supply chain industry.
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. CEVA Logistics, a CMA CGM subsidiary, uses Googles AI tools for warehouse management and demand forecasting.
It is a brilliant tool.” The most common trading partner collaborative processes covered in SCCN suites are purchase order/procurement collaboration, demand forecast collaboration, and the transportation shipper tender/carrier accept process. My advice,” he concluded, “is just jump in.
Most supply chain and logistics teams have recognized that the only way to combat todays incredible level of uncertainty is by adopting and applying digital tools. The pace and scope of supply chain disruption are beyond human cognition, manual analysis, and consumer-grade spreadsheet tools.
Supply chain professionals use various tools, including supply chain modeling, inventory management, and forecasting. Risk Management: Identifying potential disruptions, such as natural disasters, supplier disruptions, such as bankruptcies, transportation delays, and developing contingency plans to mitigate their impacts.
Pledges capabilities automate the collection and exchange of shipment data from logistics suppliers to facilitate accredited and traceable emissions calculations across all transport modes, including air, inland (e.g., truck, rail, barges), and sea.
From sourcing and bid evaluation to warehouse slotting and dynamic routing, AI tools support faster and more consistent outcomes by processing large volumes of operational data and identifying patterns that human decision-makers may overlook. These capabilities are now being integrated into mainstream TMS, WMS, and ERP platforms.
Proactive Security Measures:DAT employs a range of proactive measures, including multi-factor authentication, advanced monitoring tools, and regular security testing, to safeguard user accounts and data, and to prevent fraudulent activities like identity theft and double brokering. Erika holds a Ph.D.
To maintain high performance under pressure, food logistics leaders need to adopt modern tools and strategies that enable proactive planning, real-time visibility, and agile execution. grinding beef into burger patties) and transport finished goods to restaurant hubs and restaurants.
Many large organizations have multiple systems for order, warehouse, or transportation management that are barely integrated – frequently not at all. However, large organizations are often equipped to handle fulfillment in-house, leveraging their extensive resources and capabilities.
Key applications include AI-powered demand forecasting to improve inventory accuracy, automated procurement systems to standardize supplier negotiations, robotics to enhance warehouse efficiency, and AI-driven logistics optimization to reduce transportation costs and delays. percent, and extending payment terms.
Many large organizations have multiple systems for order, warehouse, or transportation management that are barely integrated frequently not at all. Factors like planning tools, inventory management, demand patterns, and innovations in technology contribute to the success or failure of fulfillment optimization.
For example, if I improve the cost structure in transportation, procurement, manufacturing and sales independently, what decision support framework decides the right trade-offs? In current systems where Distribution Requirements Planning (DRP) and Transportation Management (TMS) are different models, alignment is impossible.
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. A retailer, for example, can use historical rate data to estimate transportation costs for an expected surge in holiday demand.
Technology: The Critical Adaptation Tool The current tariff volatility has exposed the limitations of legacy systems and manual processes. These tools can extract data from commercial documents and automatically populate entry forms, reducing processing time by approximately 65%.
Political instability has disrupted transportation corridors. 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. These tools dont need to cover the entire network to be useful.
Safety cases are an essential tool for any company deploying autonomous vehicle technology as they promote transparency and build trust with regulators and the public. states today allow for driverless vehicles, including Texas, New Mexico, and Arizona. Please go to Auroras Investor Relations website to register for the webcast.
For logistics professionals, this translates to smarter warehouse layouts, more accurate transportation planning, proactive maintenance scheduling, and a new level of resilience through cost-to-serve optimization. This article explores how digital twins are being deployed in transportation, warehousing, and network design.
Disparate systems, such as Warehouse Management Systems (WMS), Transportation Management Systems (TMS), and Enterprise Resource Planning (ERP) platforms, often operate in silos, resulting in inconsistent data formats and poor data quality. Yet, as Esch highlighted, even global companies struggle with data harmonization.
Smaller enterprises, however, often remain limited to off-the-shelf forecasting tools or point solutions without broader system integration. The company dynamically positions inventory within its fulfillment network using projected demand heat maps and transportation cost models.
Whether natural or man-made disasters, supplier or transportation issues, cyberattacks or regulatory changes, supply chain disruptions are a serious threat to operational efficiency, profit margins, and brand reputation. Disrupted trade While the trade war between the U.S.
For more than 25 years, she has focused her attention on studying how adults best learn, consistently growing her methodology by engaging with transportation and logistics companies. Gina Anderson is on a mission to help organizations grow their safety cultures through meaningful learning that inspires and engages employees.
Supply Chain Knowledge and Risk Mitigation: Suppliers have a direct impact on direct spend with raw material and transportation costs as two big drivers of operating margins. Ensuring that collaborative forecasts, VMI and OTIF data is captured through execution platforms and utilized as part of S&OP and S&OE is critical.
Mr. Masson of ARC points out, “Each AI use case requires specific datasets and may necessitate different tools and techniques.” Thirdly, the decision to be executed is then pushed back to the relevant application, whether that be a transportation management system or a planning solution. Decisions need to be digitized.
Mike is the Head of Intermodal Solutions at SONAR, the leading freight market analytics tool and dashboard, aggregating billions of data points from hundreds of sources to provide the fastest data in the transportation and logistics sector. Mike Baudendistel and Joe Lynch discuss the CPG supply chain.
Automated Guided Vehicles (AGVs) follow predefined routes and are well-suited for repetitive, fixed-path material transport. Robots such as Amazon’s Proteus help in sorting and transporting items within distribution centers. They adapt to changing layouts and perform zone picking and goods-to-person operations.
iPaaS provides a comprehensive set of tools for connecting applications. The sessions covered the strategic vision, the underlying technology platform, the specific innovation tools, and the methodology for ensuring customers realize value. Automate: utilizes technologies such as RPA, IDP, and IPaaS.
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