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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. This layer includes trucks, ships, warehouses, and other physical assets.
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.
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?
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. That may sound impossible, but new technology places this capability within the reach of every organization.
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 warehousesystems?
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.
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.
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.
This years exhibition, held from March 17th to 20th, resonated with a palpable urgency, driven by a challenge that casts a long shadow over the industry: the persistent and intensifying labor shortage in warehousing and logistics.
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.
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.
The sessions provided clear insights into the company’s strategic direction, technology roadmap, and leadership transition—highlighting a focus on platform unification, practical AI deployment, and long-term operational alignment.
Manhattan joins a select group of supply chain software suppliers generating over $1 billion in annual revenue. Manhattan Associates is a leader in two markets, warehouse management systems and omnichannel systems. The WMS solution optimizes productivity and throughput in distribution centers and warehouses.
AI is not a new technology in the supply chain realm; it has been used in some cases for decades. 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.
One essential tool used by the supply chain team is supply chain design. 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. Initially, regions generating lower revenue were modeled.
His keynote address highlighted the company’s recent accomplishments, such as the introduction of a new inventory planning solution, substantial investments in research and development, and advancements in artificial intelligence. The company has also focused on AI integration, with AI agents now available on their platform.
Even digital advancements, like Enterprise Resource Planning (ERP) systems, only partially solve these challenges because they still need centralized oversight and reconciliation. Smart contracts are software programs that self-execute and are stored on a blockchain. Smart contracts offer a new approach. How Are Smart Contracts Built?
They integrate AI into demand forecasting, inventory optimization, and logistics operations to improve efficiency, reduce costs, and mitigate risks. Organizations examine past sales trends, apply seasonal adjustments, and make forecasts based on historical models. Amazon is a leader in AI-driven supply chain management.
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.
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.
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.
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.
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.
Transportation, warehousing, and manufacturing collectively contribute significantly to carbon emissions, making these areas critical for meaningful change. Senior leaders must think beyond incremental improvements, embracing systemic innovation to achieve significant environmental impact.
Renewable Energy for Facilities: Warehouses and distribution centers can integrate solar panels and wind turbines to lower energy costs and carbon footprints. Retrofitting existing infrastructure with energy-efficient technologies further enhances sustainability efforts. Advanced route optimization tools further support these goals.
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.
Automate: utilizes technologies such as RPA, IDP, and IPaaS. iPaaS provides a comprehensive set of tools for connecting applications. Predictive and prescriptive AI addresses use cases like inventory optimization, asset health predictions, yield optimization, and financial forecasting. RPA automates manual and repetitive tasks.
Picture this: You’re a warehouse manager, and with a few taps on your smartphone, you instantly know the exact location and quantity of every item in your inventory. That’s not science fiction—it’s the power of mobile inventory management. Ready to turn your inventory from a headache into a strategic asset?
If there’s a bright spot anywhere it’s the fact that, as logistics challenges have grown, so has the availability of advanced technologies to manage these challenges. For logistics teams, digital control towers add maximum value when they’re integrated with the transportation management system (TMS). Warehouse Task Automation.
Excess inventory weighs down supply chains. By producing only whats needed, when its needed, they eliminate the burden of forecasting errors and reduce warehouse dependency. This lean model doesn’t sacrifice speed, but instead thrives on it. Warehousing becomes a sunk cost. Stock control grows more complex.
In the age of same-day delivery and rising consumer expectations, there is immense pressure on warehouses to perform at peak efficiency. That’s where warehouse optimization comes in. Here’s what you can expect: A clear definition of warehouse optimization and its core components. Ready to get started?
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.
The concept of digital twins has emerged as a powerful foundational tool to drive improvements in warehouse productivity and efficiency. To define what exactly it is, a digital twin is a virtual replica of a physical asset, process, or system. changing the structure of the warehouse, modifying processes, etc.)
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.
The New World Of Warehousing with Matt Fain. Matt Fain and Joe Lynch discuss the new world of warehousing. Matt is the Co-Founder and CEO of popcapacity , which is dedicated to simplifying the process for sourcing warehouse space. Popcapacity leverages technology to simplify the process of sourcing warehouse space.
These advancements enable real-time tracking and monitoring, enhance automated systems, and support a larger number of connected devices. Implementing 5G requires careful planning and investment, as it involves upgrading existing systems and ensuring compatibility with new technologies.
Carl Wasinger and Joe Lynch discuss the Smart Warehousing story. Carl is the CEO and Founder at Smart Warehousing , a warehousing and fulfillment company that operates as a direct extension of its clients’ teams. He’s also a long-time member of the International Warehouse Logistics Association (IWLA). Smart Warehousing.
Supply chains need systemic change that must occur via communication, data sharing, and process modernization delivered through the use of orchestrated, interoperable AI agents and data fabrics across multiple enterprises. He also noted that the company had rewritten 28 different planning applications onto one platform.
Earlier this month, I had the opportunity to speak with Chad Collins, CEO of Körber Supply Chain Software. Chad and I discussed the widespread labor constraints impacting warehouse operations across North America and Europe. I asked him to provide his perspective on today’s warehouse labor dynamics. Warehouse Labor Shortages.
An increasing lineup of advanced digital solutions have given manufacturers the edge to transform and achieve better inventory control. The manufacturing industry is constantly searching for new and inventive ways to improve inventory management. Types of inventory that can be optimized.
Players like Cisco Systems rode the wave selling high-end servers and did not shut down production soon enough. billion inventory write-off in the third quarter, essentially admitting that it too was caught up in the Internet hype that, at its peak, gave the company the highest market capitalization in Wall Street history. Each failed.
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.
These events impacted everything from facility operations and transportation routes to energy costs and inventory management. The logistics, supply chain, freight transportation, warehousing, and inventory management sectors often operate on razor-thin margins. tallying a staggering $182 billion in damages.
Logistics equipment plays a vital role in the efficient operation of warehouses and distribution centers. This guide explores a range of logistics equipment, from storage solutions and transportation tools to facility equipment, packing solutions, technologysystems, and safety gear.
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