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Logistics Viewpoints is offering a free executive summary of its market research report on Transportation Management Systems (TMS) , a core solution for managing today’s increasingly complex logistics and freight operations.
Autonomous delivery vehicles (ADVs) are bringing significant changes to last-mile logistics, an essential component of the supply chain. With the rising demand for faster and more cost-effective deliveries, ADVs are becoming a viable solution to a variety of logistical challenges.
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?
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. Network Layer: Manages data routing.
DSV is one of the biggest names in transport and logistics, operating in over 90 countries with a global network of over 75,000 employees. At the time, each unit had its own team operating according to their own systems and processes.
Descartes Named Top Provider of Cloud-based TMS Solutions and Top Fleet Management Provider in ARC Advisory Group’s Transportation Management Systems Global Report LONDON, U.K. Home Improvement: Technology must support precise delivery scheduling, high-volume distribution and integration with retail and warehouse systems.
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. Addressing Energy Challenges in Logistics The logistics sector is a significant contributor to greenhouse gas emissions.
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. This challenge is particularly acute when traditional logistics companies merge with technology-driven startups.
In today’s interconnected global economy, sustainability within supply chains and logistics has become a necessity rather than an option. Transportation, warehousing, and manufacturing collectively contribute significantly to carbon emissions, making these areas critical for meaningful change.
The "TMS+" approach is more than a standalone Transportation Management System (TMS). It’s a supply chain execution technology that recognizes companies today operate as multi-party ecosystems, and that transport management activities are just one component of high-functioning supply chains.
Supply Chain & Logistics News (October 28th – 31st) A day late but, Happy Halloween! Now let’s get to the Supply & Logistics News for the week: Third Wave Automation Raises $27 Million in Series C Funding Led by Toyota’s Woven Capital Union City, Calif. billion dollars on Halloween candy this year.
October 14th – 18th 2024 Supply Chain & Logistics News Yesterday, I landed back in the States from my autumn getaway. This last week, FedEx furthered its commitment to the giant panada conversation, FedEx has completed its first-ever round trip transportation of six pandas between the US and China via two separate flights.
Freight transportation makes up over 10% of total global carbon emissions. Reducing emissions from transportation is crucial to achieving organizations sustainability goals. However, logistics managers cannot deliver against todays goals with yesterdays TMS systems.
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.
Subscribe Why don’t you have a TMS (Transportation Management System) Solution yet? In the logistics game, your Transport Management System (TMS) is like the nerve center of your entire operation. If your current system can’t deliver that level of service, it may be time to consider an upgrade.
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.
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.
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.
Optimization is used in supply planning, factory scheduling, supply chain design , and transportation planning. In mathematical terms, optimization is a mixed-integer or linear programming approach to finding the best combination of warehouses, factories, transportation flows, and other supply chain resources under real-world constraints.
Many large organizations have multiple systems for order, warehouse, or transportation management that are barely integrated – frequently not at all. The convergence of robotics, artificial intelligence, and sensor technologies is enabling new levels of automation in both warehouse operations and last-mile delivery.
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. Core Components of a Hybrid IoT Network in Logistics 1.
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.
Increasingly, logistics operations rely on connected devices, real-time analytics, and automation to reduce cost, increase throughput, and meet sustainability goals. The Modern Smart Logistics Toolkit As logistics operations have become more complex and digitally integrated, newer wireless standards have taken hold.
Pledge provides supply teams and logistics providers (LSPs) with accredited emissions measurement and reporting capabilities. To address the growing consumer demand for improved environmental management and the constantly evolving regulatory landscape, Blue Yonder offers solutions through its Sustainable Supply Chain Management system.
Building automation is similar to industrial automation, except that instead of controlling a factory, the systems control a building’s entry, power consumption, and lighting. Business case creation involves top logistics, finance, or business unit executives. The company has a complex global supply chain.
These systems are increasingly used to improve internal logistics, address labor challenges, and support responsive, data-driven operations. While both AGVs and AMRs transport materials within a facility, they differ in navigation, adaptability, and system architecture. AGVs vs. AMRs: What’s the Difference?
Home Making Logistics Data Actionable: Insights from Freightos and Gryn July 7, 2025 Blog Data is the backbone of efficient decision-making. However, transforming raw data into actionable insights remains a significant challenge for many logistics organizations. So there are so many standalone solutions in different companies.”
If you’re still relying on manual spreadsheets or a basic transportation management system (TMS) to manage truckload planning and optimization, you’re likely missing out on key opportunities for greater efficiency, cost savings , and better service. Customer expectations continue to rise.
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.
Josh is the Co-Founder of Launch Fulfillment, LaunchPath Logistics, and RocketFuel Parcel Recharge. They recognized that many other 3PLs would have the same problem, so they created RocketFuel , a recharge metering system that ensures upfront payments for every shipment with an automated metering system.
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.
Digital infrastructure is now integral to logistics execution. AI Deployment in Operational Context Artificial intelligence has become a common feature in supply chain systems, though the depth of adoption varies widely. Rule-based systems are giving way to models that identify anomalies using pattern recognition.
While traditional supply chains move materials in a linear fashion, make, use, dispose, circular models seek to extend the life and value of resources by designing waste out of the system entirely. In practice, that means tracking materials more carefully, recovering components, rethinking product design, and integrating reverse logistics.
They dont want Blue Yonder to design and test the software, then hand the implementation off to a system integrator, and then hand responsibilities back to Blue Yonder to maintain and upgrade the software. Blue Yonders warehouse management system solution is their top-selling application. Blue Yonder is adding services personnel.
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.
Over the past decade, Warehouse Management Systems (WMS) have evolved from simple systems of record into the operational nerve center of modern distribution. Advanced Labor Management Built Into the Core System Labor isn’t just a cost center—it’s a differentiator.
Milk Processing : After collection, milk is transported to regional processing plants, where it is pasteurized and packaged. Technology Integration : Use of technology in logistics, inventory management, and supply chain tracking has helped improve efficiency and transparency. through net-enabled kiosks in the villages.
Whether for storage or outbound shipping, building pallets efficiently, safely, and in a space-optimized way is key to maintaining smooth operations, minimizing damage, and reducing transportation costs. As logistics becomes more complex, warehouses can no longer afford to rely solely on manual processes or one-size-fits-all solutions.
From May 19 to 21, 2025, CeMAT Southeast Asia and LogiSYM Asia Pacific were co-located for the second consecutive year at Singapore EXPO, creating a comprehensive platform for the regions logistics and supply chain community. Geek+ was honored as Best Warehouse Robotics Company for its smart warehouse automation solutions.
Volatile markets, global disruptions, and the need for real-time insights are pushing traditional systems to their limits. Validate and Improve Outputs: They can leverage task-specific capabilities, knowledge, and memory to validate and improve their outputs and those of other agents in a system, increasing accuracy and reliability.
Warehouse management systems rely on RF scans of locations and products. Mr. Masson says the analytics lifecycle includes: Managing Data : Creating a business-ready analytics foundation by integrating and standardizing data across systems. We built a technology that allows us to crawl the transactional systems.
Autonomous systems are becoming an integral part of modern logistics infrastructure. These systems are no longer in the prototype phase; they are in active deployment across multiple industry sectors. Robotic systems now perform many of these tasks with higher consistency and fewer interruptions.
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. With the integration of CXML and the enhanced point-of-sale systems, this challenge has been tackled head-on.
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. We have full visibility.
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