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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.
Customs and Border Protection’s systems not fully validating duty calculations on complex lines (which now describes virtually all transactions), brokers face heightened audit risks and potential penalties. Client Service Demands : Importers need more guidance than ever, creating additional service demands.
Blue Yonder continues to demonstrate its commitment to sustainability with its latest acquisition of a UK-based Pledge Earth Technologies (Pledge). There is also an increased demand for transparency, societal and regulatory scrutiny of sourcing, and consumer demand, with consumers willing to change brand loyalty to shop sustainably.
As global supply chains grow more complex and customer expectations skyrocket, Transportation Management Systems (TMS) have become a strategic linchpin for companies aiming to stay competitive. Click here to download the free Executive Summary and see whats shaping the future of transportation management today.
Most found themselves ill-prepared for the magnitude of disruption in supply and demand, followed soon after by political unrest, labor and material shortages, and sharp inflation. The "TMS+" approach is more than a standalone Transportation Management System (TMS).
is redefining transportation by integrating IoT sensors into vehicles, fundamentally shifting fleet operations. Similarly, UPS uses its ORION system, which integrates real-time and historical data to optimize delivery routes, saving fuel and enhancing delivery reliability.
In the rapidly evolving world of global supply chains, interoperability—the ability of systems, devices, and organizations to work together seamlessly—has become a critical factor for operational efficiency. Transport Layer: Ensures dependable data transfer. These seven layers are: 1. Network Layer: Manages data routing.
This complexity has introduced gaps in visibility and responsiveness that traditional systems werent designed to handle. It is not a technology on its own, but rather a process that combines planning, execution, and monitoring through integrated tools and workflows.
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. We have evolved Blue Yonder from being a traditional demand and supply planning solution.
Congested seaports stalling transportation of much needed materials and goods. Difficulty forecasting demand due to constant supply chain disruptions. Manufacturers in these industries face several unique challenges: Labor and material shortages halting production.
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. billion in 2023 to $13.3
With the rising demand for faster and more cost-effective deliveries, ADVs are becoming a viable solution to a variety of logistical challenges. These technologies ensure that the vehicle can avoid obstacles, follow traffic rules, and make decisions about its environment.
Source: mainebiz.biz In today’s rapidly evolving logistics and supply chain sector, warehouses are increasingly turning to innovative technologies to gain a competitive edge. These automated systems, powered by sophisticated technologies like artificial intelligence (AI) and machine learning, offer unparalleled efficiency and precision.
Volatile markets, global disruptions, and the need for real-time insights are pushing traditional systems to their limits. 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.
Global logistics and shipping provider Maersk has begun the roll-out of its new digital connectivity platform, OneWireless, aboard 450 vessels to enable smart container and cargo tracking solutions. The OneWireless platform is a single, unified network designed to support multiple wireless technol-ogies (NB-IoT, Cat-M, and LTE broadband).
Frederic Laluyaux, the CEO of Aera Technology, agrees with this assessment. Masson of ARC points out, “Each AI use case requires specific datasets and may necessitate different tools and techniques.” Warehouse management systems rely on RF scans of locations and products. trillion rows of data into the platform. “So
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 Reducing emissions from transportation is crucial to achieving organizations sustainability goals.
The logistics and supply chain industry is a critical component of global trade, responsible for moving goods and materials efficiently to meet consumer and business demands. Road freight alone accounts for approximately 7% of global CO2 emissions, with maritime and air transport further amplifying the environmental burden.
A data gateway is essentially a connective tissue across your supply chain, providing unified access to supply chain data from various sources, including enterprise systems, data feeds, data warehouses, data lakes, data marts, and business entities.
Among the most impactful technologies supporting this shift are Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs). These systems are increasingly used to improve internal logistics, address labor challenges, and support responsive, data-driven operations. AGVs vs. AMRs: What’s the Difference?
Many large organizations have multiple systems for order, warehouse, or transportation management that are barely integrated frequently not at all. Sudden and significant changes in demand, especially in consumer markets, stack up more challenges, requiring order revision and reallocation.
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. For instance, global EV adoption is projected to reach 40% of total vehicle sales by 2030, according to BloombergNEF.
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. Human-in-the-Loop Systems: AI as a Support Layer In supply chain operations, AI is rarely deployed to act independently.
I laugh when business leaders tell me that they are going to replace their current supply chain planning technologies with “AI.” Each supply chain planning technology at the end of 2024, went through disruption–change in CEO, business model shift, layoffs, re-platforming and acquisitions. You are right.
When one thinks of supply chain software vendors, the name InterSystems may not spring to mind. They offer softwaresystems and technology for complex integration, rapid application development, and advanced analytics and sell those solutions to companies that need to accelerate optimized business outcomes.
As automation continues to evolve in logistics, two technologies are becoming central to modern delivery methods: autonomous drones and autonomous vehicles. However, each technology serves different purposes within logistics, and the question remains: Which will ultimately shape the industry’s operational structure?
At this years keynote, Manhattan Associates outlined its current strategic direction, underscoring platform unification, AI integration, and leadership transition. His comments reflected a long-term orientation: technology and strategy are expected to evolve in parallel with shifts in the global supply chain environment.
During the two-day event, I participated in various sessions covering a range of topics, including Warehouse Management Systems, Labor Management, Agentic AI, and Warehouse Automation. He highlighted Manhattan’s unified cloud-native platform, which allows for faster innovation and better customer solutions.
Logility, a conservative company supply chain planning technology, historically had no debt and cash reserves of more than 80M, is undervalued in this deal. Aptean is orchestrating the Blue Yonder/E2open/Infor playbook of buying undervalued assets and milking the maintenance and Software-as-a-Service contracts with existing customers.
Bill is the Founder & CEO of OneRail , a leading omnichannel fulfillment solution pairing best-in-class software with logistics as a service that provides dependability and speed to help businesses meet their delivery promise. Bill is a start-up entrepreneur focused on developing and commercializing real-time technology networks.
Kristina Bernarducci and Joe Lynch discuss delivering the drinks: streamlining beverage transportation. The company operates five distinct entities that collaborate to deliver end-to-end supply chain services: Bettaway Traffic Systems, Inc.: Bettaway Pallet Systems, Inc.: Bettaway Beverage Distributors, Inc.:
It is a brilliant tool.” The enterprise software company also announced a new analytics solution covering external workforce management. The transactions are captured in the platform, eliminating “he said, she said” type arguments. Those types of disagreements disappear in a SCCN platform.
Autonomous systems are becoming an integral part of modern logistics infrastructure. The convergence of robotics, artificial intelligence, and sensor technologies is enabling new levels of automation in both warehouse operations and last-mile delivery.
Geopolitical instability, extreme weather, labor shortages, and fluctuating consumer demand regularly impact global logistics. They integrate AI into demand forecasting, inventory optimization, and logistics operations to improve efficiency, reduce costs, and mitigate risks. Amazon is a leader in AI-driven supply chain management.
AI is not a new technology in the supply chain realm; it has been used in some cases for decades. Optimization is used in supply planning, factory scheduling, supply chain design , and transportation planning. Demand planning engines have natural feedback loops that allow the forecast engine to learn.
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.
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.
The global supply chain landscape is undergoing significant transformations, influenced by rapid technological advancements, shifting consumer expectations, and the intricacies of international commerce. Preparing the next generation to excel in this dynamic field requires more than traditional education methods.
But with the explosion of IoT devices across transportation, warehousing, and distribution, logistics providers face a critical challenge: how to ensure continuous, reliable, and cost-effective communication across diverse physical environments and use cases. and relay it to cloud platforms using higher-bandwidth links like LTE or Ethernet.
Business leaders see the open sharing of feedback on software as too risky. How can I improve the process of software selection? How can I improve the process of software selection? Buying supply chain planning software is hard. Many technologies (I count six) are missing, and most of the ratings are just wrong.
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. GPT-4 is being used to improve inventory allocation and demand forecasting.
Automate: utilizes technologies such as RPA, IDP, and IPaaS. iPaaS provides a comprehensive set of tools for connecting applications. Concepts like GenAI Assistants and Agents were presented, offering conversational interfaces and on-demand analysis. RPA automates manual and repetitive tasks.
A data gateway is essentially a connective tissue across your supply chain, providing unified access to supply chain data from various sources, including enterprise systems, data feeds, data warehouses, data lakes, data marts, and business entities.
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