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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. Integration with existing infrastructure and logistics platforms.
Growing Complexity The complexity of running the warehouse only continues to increase. For example, slotting and picking usually consume more than half of warehouse labor costs. Warehouses also struggle with being over or understaffed and rarely strike the balance of what is “just right” for the day’s staffing needs.
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.
By applying the ISO OSI (Open Systems Interconnection) seven layer model, traditionally used in networking, to logistics, businesses can achieve a structured framework that enhances communication, reduces friction, and improves collaboration throughout the supply chain. Here’s how each layer translates to the supply chain context: 1.
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?
Amplifying the shippers voice and giving some power back to the companies actually paying for logistics services that is the core reason why the Shippers Council was formed in in 2020. For example, that sudden increase in warehousing charges from my LSP is anyone else seeing that?
The Warehouse Management System market nearly grew by $1 billion in 2024, following a robust four-year climb since the pandemic. E-Commerce Expansion and Fulfillment Complexity The surge in online shopping has dramatically increased the demand for sophisticated warehouse operations with shorter shipping deadlines.
The Ecosystem Today The logistics ecosystem is being transformed by the rise of connected vehicles equipped with IoT sensors and data-driven technologies. Connected vehicles, following standards like the SAE J3016, which defines the six levels of vehicle automation, are becoming a crucial part of logistics operations.
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.
As e-commerce booms, product lifecycles shorten, and labor markets tighten, traditional warehouse management approaches struggle to keep up. Enter the next generation of warehouse optimization – intelligent systems powered by artificial intelligence (AI) and machine learning (ML). What are intelligent warehouse systems?
Warehousing is an essential part of the global supply chain. Warehousing plays a critical role in the success of businesses across various sectors. It would be nice to know how many warehouses there are and how fast these numbers are growing. Retailers, manufacturers, and distributors own more warehouses than 3PLs.
Digital twins are emerging as digital transformation accelerators for supply chain and logistics organizations seeking enterprise-level visibility, real-time scenario modeling, and operational agility under disruption. This article explores how digital twins are being deployed in transportation, warehousing, and network design.
For example, at one point, they modeled Brazil and factored tariffs and tax considerations into the total landed costs analysis. So, if the model shows that by shutting down some warehouses and moving others, $10 million can be saved, the team will only promise $5 million. However, the projects involve a good deal of collaboration.
For example, instead of traditional longitude latitude coordinates, electric power distribution companies often use approaches such as linear referencing and network connectivity to describe asset context and attributes. For example, SMECO wanted RFID capabilities to track the movement of high-value items as they entered and exited the yard.
The Logistics Viewpoints archive has grown into a resource that supports exactly that a curated collection of category-based content that reflects both foundational principles and emerging trends across the logistics landscape. Its not static its updated weekly, and designed to reflect the evolving needs of supply chain leaders.
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. ML can also be used to generate labor standards for warehouse workers.
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.
The mobile warehouse robotics market is no doubt a crucial piece of technology to achieve warehouse automation. At this point, we can see the market reaching some maturity, where more end users recognize the benefits and essentiality of automating warehouse and logistics operations with mobile robots.
Vertex’s deployment of digital tools such as Warehouse Barcoding, Manufacturing Execution Systems (MES), and advanced scheduling platforms has delivered significant logistics gains cutting over a day from warehouse batch processing and reducing line changeovers from 19 to just 8 days.
For example, Amazon uses AI to optimize delivery logistics. Warehouse and transportation staff still manage fulfillment decisions, but AI provides improved visibility and supports faster planning. In this HITL model, warehouse employees, dispatchers, and planners remain responsible for reviewing system recommendations.
In today’s fast-paced, hyper-competitive, omni-channel world, warehouses play a critical role in maximizing service and fulfilling the ambitious customer promises that are required today. Warehouses also represent an enormous cost center. Volatile demand means warehouses need to pivot quickly when order volumes change.
However, logistics managers cannot deliver against todays goals with yesterdays TMS systems. For example, reduced emissions could result from streamlined routing or fewer trips due to improved demand forecasting. With rapidly increasing freight demand worldwide, it is expected to become the highest-emitting sector by 2050.1
Of course, we subsequently share interesting insights in Logistics Viewpoints articles. Earlier this month, Brian Gaunt, Senior Director of Accelerated Digitization at DHL, provided me with an update on the company’s warehouse digitization journey. I find the use cases for robotic arms in the warehouse to be expanding rapidly.
This article is from Patrick Byers, DevOps Engineer at Lucas Systems, and looks at fortifying warehouse and distribution centers against cybersecurity attacks. The warehousing and distribution industry is highly reliant on technology for its operations. Why are warehouses and DCs so vulnerable to cyberattacks?
ARC Advisory Group’s Global Warehouse Automation Research study is now complete and available for purchase. The research process includes an analysis of large amounts of information and interviews with executives from numerous warehouse automation providers; and concludes with the publication of ARC’s research study.
Sustainability has become a core focus for industries worldwide, and warehousing is no exception. Modern warehouses are not just storage spaces—they are dynamic hubs of activity that play a critical role in supply chain efficiency. Transitioning to sustainable practices reduces environmental impact and cuts costs in the long term.
Blue Yonders warehouse management system solution is their top-selling application. Two years ago, 2 million tasks were sent to the warehouse floor. The companybelieves its Cloud warehouse execution system controls more robots than anyone but Amazon. Both are contributing to a rewiring of the automotive supply chain industry.
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. Kinsella shared examples of how unification helps customers respond to real-time changes and improve agility.
Examples of Mobile Warehouse Robotics included in ARC’s Research. I recently completed ARC Advisory Group’s research on the mobile warehouse robotics market. And some will be from the displacement of more traditional warehouse technologies, such as AGVs and manual forklifts.
Lucas Systems Offers Warehouse Optimization Warehouse management systems, once known as supply chain execution systems, have evolved significantly. Today, for many professionals, “WMS” is synonymous with “warehouse optimization.” Lucas Systems, a seasoned player in the industry, is a prime example. It shouldn’t be.
In this article, we will delve into strategic ways for warehouse managers to eliminate waste, with a focus on not only optimizing the use of cartons and packing, but labor resources and warehouse space as well. Packing efficiently is essential for maximizing storage capacity and minimizing waste in the warehouse.
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.
Large swings in supply and demand for different product categories and changes in distribution patterns left logistics managers grappling with the biggest challenge of their careers. Challenges that were made all the more difficult by one of the most basic yet complex questions in logistics, “How long will it take to get there?”
The demand, supply, transportation, and warehousing plans are created on the Blue Yonder platform. Daily transportation and warehouse plans are developed that go down to the level of what will be picked, packed, and shipped. For example, a large customer may place a large, unforeseen order that becomes visible at 9:00 a.m.
In the world of supply chain and logistics, the built environment comes in many forms, from warehouses and logistics parks to the buildings associated with ports and terminals. It’s also a great example of how the boundaries between what we traditional think of as “IT” and “OT” cybersecurity are blurring.
A Tier 1 WMS Should be Capable of Complex Optimization ARC Advisory Group does global market research on the warehouse management system market. Warehouse workers work alongside autonomous mobile robots to fulfill orders. The warehouse mobile robot system downloads orders from the WMS for the work that will be done in its zone.
For example, a warehouse inventory discrepancy may only matter if it affects high-priority orders or strategic customers. For example, an AI agent can detect an issue in a regional distribution center and evaluate its impact across the global network, providing planners tailored recommendations to address the disruption.
Chad and I discussed the widespread labor constraints impacting warehouse operations across North America and Europe. I told Chad that I believe warehouse labor constraints will continue for extended time, and that warehouses must actively manage with this in mind. Warehouse Labor Shortages.
As logistics networks become increasingly complex, the volume of real-time data generated by devices, equipment, vehicles, and facilities is growing rapidly. However, implementing edge computing in logistics environments introduces its own set of technical and operational complexities that require careful planning.
In the age of same-day delivery and rising consumer expectations, there is immense pressure on warehouses to perform at peak efficiency. But between rising costs, complex logistics, and the constant struggle to optimize space and labor, staying ahead can feel like an uphill battle. That’s where warehouse optimization comes in.
Warehouse performance continues to evolve into a more complex, multi-faceted measure. Warehouse operations historically strived to deliver the perfect order – the right product, at the right price, at the right time. E-Commerce and direct-to-consumer shipping exerted several competitive pressures on warehouses.
Transparent data prepared especially for your logistics operation will get you easily through your peaks. The hype usually revolves around just one item and can easily be managed by a modern logistics system. Imagine a warehouse operating around the clock, 360 days a year. Peaks are all so different.
Logistics strategy as an enabler of new business models. They have changed the way they see logistics, and no longer view it as just a support process in their organization. A logistics strategy provides the competitive edge. A logistics strategy provides the competitive edge. Design of the logistics network.
The logistics, supply chain, freight transportation, warehousing, and inventory management sectors often operate on razor-thin margins. Logistics and transportation companies played a crucial role in the broader relief efforts, moving beyond their typical service offerings. tallying a staggering $182 billion in damages.
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