This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
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.
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.
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?
Today’s question becomes: How do you leverage data to automate and optimize across the full order lifecycle? The "TMS+" approach is more than a standalone Transportation Management System (TMS). In this paper we discuss why a holistic “TMS+” approach is integral to success in the new normal and beyond.
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.
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.
Pledge) , including its global supply chain sustainability solution for beneficial cargo owners (BCOs), enterprise supply chain leaders and logistics service providers (LSPs). Pledge provides software solutions to empower enterprise supply chain teams and LSPs to meet their sustainability goals and Scope 3 emissions reporting requirements.
Blue Yonder continues to demonstrate its commitment to sustainability with its latest acquisition of a UK-based Pledge Earth Technologies (Pledge). Pledge provides supply teams and logistics providers (LSPs) with accredited emissions measurement and reporting capabilities.
Many large organizations have multiple systems for order, warehouse, or transportation management that are barely integrated frequently not at all. Optimizing fulfillment requires a series of steps to get a shipment from its source to the end customer.
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 2023 alone, over $100 billion was invested in EV and battery supply chain M&A deals.
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. AI is playing an increasingly pragmatic role in optimizing supply chain operations.
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. Achieving these goals requires visibility into the entire supply chain.
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. Since then, supply chain disruptions and volatility have only increased. The Ukraine-Russia conflict is ongoing.
Increasingly, logistics operations rely on connected devices, real-time analytics, and automation to reduce cost, increase throughput, and meet sustainability goals. Central to this evolution is the use of wireless sensor networks and IoT platforms. This multi-protocol approach remains common in transitional environments today.
Over the past decade, Warehouse Management Systems (WMS) have evolved from simple systems of record into the operational nerve center of modern distribution. A next-gen WMS must act as a multi-agent control tower, intelligently managing the handoff between these agents to avoid bottlenecks and optimize throughput.
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. Overview of Warehouse Robotics Warehouse robotics represent a revolutionary advancement in the logistics and supply chain sector.
The convergence of robotics, artificial intelligence, and sensor technologies is enabling new levels of automation in both warehouse operations and last-mile delivery. How to Navigate the Chaos of Trade Disruption with the Cynefin framework, AI and Optimization. Do you really know what your production assets contain?
In todays hyperconnected supply chain environment, the Internet of Things (IoT) is the operational backbone for visibility, optimization, and automation. Why Logistics Demands Hybrid Connectivity Logistics environments are inherently heterogeneous. Core Components of a Hybrid IoT Network in Logistics 1.
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.
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.
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.
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 includes components from technology partners Onomondo, Nokia, 42com Sat, Complea, and Zededa.
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. The following interview was edited for conciseness. Could you talk more about that?
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.
Meeting Demand Surges in the Restaurant Supply Chain Peak demand days—such as National Hamburger Day or Super Bowl Sunday—create major stress on restaurant and foodservice logistics. In today’s competitive landscape, AI-powered solutions are quickly becoming essential to optimize food supply chain performance and meet demand with precision.
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
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.
Political instability has disrupted transportation corridors. Sudden tariff increases can quickly make a cost-optimized procurement strategy untenable, leaving companies scrambling to adjust. These tools dont need to cover the entire network to be useful. Trade tensions have led to abrupt tariff hikes.
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?
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.
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. Inventory Placement and Fulfillment Optimization Amazon’s forward-deployment model is often cited as a benchmark.
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.
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.
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. Achieving these goals requires visibility into the entire supply chain.
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. Customs uses the same technology to determine which shipments should be denied entry.
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.”
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.
Alex is also the President of Reefer Van Network , a prominent player in the refrigerated transportation industry, specializing in the safe and efficient delivery of temperature-sensitive goods across North America. Alex is a serial entrepreneur with expertise in tech innovation and a background in law, tech, and logistics.
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 transportationplatforms are shaping the future of the supply chain industry.
Innovation Pillars: Diagnose: primarily powered by Infor Process Mining, this capability helps organizations gain visibility into business processes, uncover non-conforming variants, identify critical bottlenecks, and optimize operations based on data. Automate: utilizes technologies such as RPA, IDP, and IPaaS.
The global logistics industry undergoes transformative change because of technological developments which enhance delivery services from last-mile operations to worldwide freight management. The solution exists in custom-built software development. Key Benefits of Custom LogisticsSoftware 1.
Skip to content The Network Effect Beyond Supply Chains Menu Home Business Networks Supply Chain Management Logistics Resilience AI About Submit a Post Rethinking Defense Supply Chains with Network-Based Command Centers July 11, 2025 Michael Bruens Defense , Supply Chain Management This post has already been read 125 times!
With over 24 years of Sales/Sales Leadership experience in Logistics, Transportation, Compliance and Technology, Jon has worked with various clients in the Enterprise, Government/SLED and SMB spaces to deliver outstanding service and results. Previously, Jon has worked for companies such as J.J.
We organize all of the trending information in your field so you don't have to. Join 102,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content