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
In today’s interconnected global economy, sustainability within supply chains and logistics has become a necessity rather than an option. Worker safety and well-being remain key concerns in the logistics and warehousing sectors, where physical demands and repetitive tasks can lead to accidents and injuries.
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. However, the sectors reliance on fossil fuels and resource-intensive practices poses significant challenges.
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.
AI in supply chain automation is gradually reshaping how core functions operate, particularly in procurement, warehousing, and logistics. Key Insight: The use of AI in supply chain automation is producing tangible benefits across procurement, warehousing, and logistics.
The supply chain is the world’s most complex logistics challenge, where efficiency and accuracy are critically important to ensure goods are accessible to consumers when needed. Download the eBook to learn more.
In the competitive industrial landscape, efficient spare parts inventory management is crucial to maintaining seamless operations and driving profitability. Overcoming Unique Challenges in Spare Parts Supply Chains Spare parts supply chains present unique challenges that differ significantly from traditional finished goods logistics.
If so, optimizing your inventory management strategy can be a game-changer. This method offers a solution to various inventory and shipping challenges for businesses just like yours. Below, we outline three ways blind shipping can help optimize your logistics, keep inventories healthy and save you money!
For example, with a data gateway, a supply planner gains accelerated access to customer orders, inventory levels, and transportation schedules, all in one place, to increase the user experience of making the right choice to identify inefficiencies and make better, more informed decisions.
Are you making the fatal mistake of underestimating the importance of inventory rebalancing? Many retailers treat inventory management as a mundane task rather than a strategic lever for success. It’s about strategically adjusting your inventory levels across locations and products in response to real-time customer demand.
Layer on the daily micro disruptions that every warehouse experiences regardless of size – unexpected or delayed deliveries, inventory shortages, quality issues and scheduled labor or equipment mismatches versus real-time needs—and suddenly running the warehouse becomes unmanageable.
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.
Even digital advancements, like Enterprise Resource Planning (ERP) systems, only partially solve these challenges because they still need centralized oversight and reconciliation. Logistics & Shipment Tracking Tracking shipments across multiple jurisdictions is difficult. Smart contracts offer a new approach.
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.
These systems are increasingly used to improve internal logistics, address labor challenges, and support responsive, data-driven operations. Improved Data Integration Many AMRs integrate with WMS and ERP platforms to provide data on performance, usage, and maintenance, enabling smarter resource 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. The names of the suppliers, carriers, logistics service providers become search terms.
For example, with a data gateway, a supply planner gains accelerated access to customer orders, inventory levels, and transportation schedules, all in one place, to increase the user experience of making the right choice to identify inefficiencies and make better, more informed decisions.
Without the ability to distinguish actionable insights from irrelevant noise, decision-makers risk inefficiency, confusion, and misallocation of resources. For example, a warehouse inventory discrepancy may only matter if it affects high-priority orders or strategic customers. To break through the noise requires context.
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.
But shippers looking to avoid disruptions and ensure that tight inventory levels don’t lead to missed sales opportunities pulled their orders forward. As companies look ahead to the next three to six months, they’re weighing costs, risks, and demand as they plan and adapt their inventory strategies.
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.
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?”
However, large organizations are often equipped to handle fulfillment in-house, leveraging their extensive resources and capabilities. These steps include sourcing and receiving inventory, storing inventory, order processing, picking and packing an order, shipping the order, and returns management.
Delays, excess inventory, missed handoffs, and reactive decision-making are all signs of a supply chain that lacks coordination. The factory uses this information to make scheduling and inventory decisions more efficiently. This doesnt eliminate those systems, it organizes the data they produce.
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.
This architecture enables: Complex Workflow Orchestration: Multi-agent systems can orchestrate complex workflows in minutes, significantly reducing the time and resources required for complex tasks. Logistics Optimization AI Agents can analyze transportation networks, weather patterns, and other variables to optimize routes and reduce costs.
Just-in-time (JIT) inventory models, lean supplier networks, and offshore manufacturing reduced expenses but left companies exposed to disruptions. The COVID-19 pandemic and ongoing geopolitical shifts demonstrated the risks of relying on single-source suppliers and minimal inventory buffers. Resilience is now taking precedence.
Excess inventory weighs down supply chains. The Hidden Costs of Traditional Inventory Models Traditional inventory models were built for predictability. Storing those goods adds emissions and resource strain. It aligns inventory with actual demand, reduces warehouse costs, and limits the risk of obsolescence.
This solution allows human resource managers to review performance against over 50 external workforce key performance indicators, access global market intelligence (including rates, talent supply and demand, and time-to-hire trends), and track progress across diversity and worker health and safety initiatives. It is a brilliant tool.”
From raw material sourcing to logistics and regulatory compliance, stakeholders across the value chain will need to prepare for structural adjustments. For companies managing large product portfolios, the scale of these changes will be resource-intensive and time-sensitive, particularly given the proposed 2026 target for full transition.
Leading organizations are building supply chains that are less exposed to single points of failure, more informed by real-time data, and more able to adjust sourcing, inventory, and routing based on current conditions. The ability to pressure-test decisions before committing real resources significantly improves response quality.
Driven by omni-channel growth and multinational expansion, the global logistics industry is booming — and it’s expected to reach $18 trillion in value by 2030. Given today’s demand volatility and economic uncertainty, companies are wise to approach any internal logistics expansion plans with extreme caution.
Unlike some of the other trends articles we have covered at Logistics Viewpoints, which take a deeper dive into technology and application specific trends, this article looked at the top trends executives need to be paying attention to before their strategic planning meetings commence. Top Five Transportation Trends ; Chris Cunnane.
The manufacturing industry faces many challenges, such as a skilled labor shortage, supply chain instability, and inventory management issues. GlobalTranz works with manufacturing shippers every day to move their goods and streamline their logistics strategies. Supply Chain Management and Maintaining Inventory.
Leveling up your inventory life cycle can be crucial, but keeping all the fundamental factors jumping is essential to let the life cycle evolve. However, if the life cycle stock is healthy, inventory management is smooth. Inventory management revolves around the pivotal concept of the product life cycle. Click here!
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. How can we rapidly bring our logistics operation up to its full speed during such a peak? Peaks are all so different.
Challenges drive dramatic shifts in supply chain and logistics. Across many of our industries, conventional wisdom about best practices for supply chain operations and logistical networks is being challenged. There are lively debates about the meaning and prioritization of scale, globalization, outsourcing, and inventory optimization.
At the same time, companies have been forced to pull forward inventory purchases, creating a squeeze where carrying costs are up while cash flow is tight. Until a trailer is unloaded and the warehouse records that inventory, it’s not reflected in the companys warehouse management systems.
Today’s logistics teams are operating in an environment characterized by uncertainty on three fronts. Minute by minute, logistics providers are asking themselves: What do customers want? Do I have the resources to meet their needs? Customers’ needs and expectations are constantly changing. A North America?n
The use of 5G also reduces aircraft ground time, contributing to better fleet utilization and resource scheduling. The project demonstrates how 5G networks can serve as the digital nervous system for autonomous logistics. It eliminates the need for physical travel by inspectors, improving maintenance turnaround times.
Subscribe 5 Ways to Improve Logistics Management! Infographic) In today’s fast-paced logistics world, efficiency is key. Explore these six practical tips for streamlining logistics processes and operations that focus on smart decisions and strategic actions. Want to stay ahead? So: Adopt route optimization tools.
This helps identify potential challenges and areas for improvement without committing full resources upfront. Underestimating the Complexity Implementing DPPs is a complex process that requires careful planning and sufficient resources. Failing to plan for the complexity of DPPs can lead to delays and disruptions in operations.
And now on to this week’s logistics news. In 2023, Amazon experimented with new logistics strategies and technologies to quickly fulfill and deliver orders, and these changes paid off big. The faster delivery times this year specifically may be attributed to changes in Amazon’s logistics strategy. That’s all for this week.
They have been successful enough with their fulfillment capabilities that they are no longer just a direct-to-consumer retailer; they are also a third-party logistics provider. To do this the system must manage fulfillment orders, warehouse tasks, inventory locations, the status of work, and resources that include both humans and machines.
The formula was tried and tested: build strong brands, expand into growing markets, and manage costs carefully to generate more resources for brand-building. AI-powered tools improve demand sensing, optimize inventory, and manage exceptions—allowing organizations to do more with the same or fewer resources. Want to learn more?
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