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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. Addressing Energy Challenges in Logistics The logistics sector is a significant contributor to greenhouse gas emissions.
Geopolitical instability, extreme weather, labor shortages, and fluctuating consumer demand regularly impact global logistics. Artificial intelligence (AI) is reshaping supply chain operations by enabling predictive planning, allowing companies to anticipate disruptions before they occur and adjust operations accordingly.
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.
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.
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. With the global e-commerce market predicted to reach $8.1
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.
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.
With Christmas goods in stores before Halloween this year, I thought there was no reason that we shouldn’t also get a jump on 2022 predictions. This is clearly an opportunity and challenge for retailers and last mile logistics companies. Here’s what to look for in 2022.
An organization with tens of thousands of different products may have to move them across many modes of transportation, IT systems, and third-party logistics partners, all adding to complexity, as well as loss of visibility and control. 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 transportation and logistics, this has manifested as a significant focus on electrification and renewable energy integration.
Design and engineering, production operations, maintenance, logistics, supply chain, business systems, customers, products, and organizational structure are subject to innovative change as companies examine and update processes and deploy new tools and technologies.” There are many areas of digital transformation within the supply chain.
Richard Lebovitz and Joe Lynch discuss leading inventory attack teams. Richard is the CEO of LeanDNA , a purpose-built analytics platform for factory inventory optimization. About Richard Lebovitz Richard Lebovitz is the CEO of LeanDNA , a purpose-built analytics platform for factory inventory optimization.
Technological Advancements Real-time inventory tracking and predictiveanalytics give leading firms a competitive edge. Optimize Inventory and Pricing Use AI-driven insights for stock mix optimization and dynamic pricing, reducing excess stock while meeting service level goals.
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.
trillion distortion inventory problem. Trillion Inventory Distortion Problem In this podcast, Karl Swensen, CEO and Co-founder of Pull Logic, discusses how their AI-enabled technology helps retailers, brands, and manufacturers reduce lost sales by addressing supply chain and selling process failure points. Summary: Solving the $1.8
Why should we consider Promotion Planning in Inventory Management? Whether it be e-commerce, brick-and-mortar, or both, retail companies care about the inventory they keep. During promotional management, especially for big events around special days and holidays, inventory levels need to be adjusted to meet the peaks in demand.
Optimize is driven by Infor AI, encompassing both Generative AI and Predictive/ Prescriptive AI. Predictive and prescriptive AI addresses use cases like inventory optimization, asset health predictions, yield optimization, and financial forecasting. This involves a Network Data Mesh for unlocking insights.
The Role of Digitisation and Analytics in Supply Chain Resilience. by Dr Shereen Nassar – Global Director of Logistics Studies and Supply Chain Management Programmes Heriot-Watt University Dubai. Analytics for Diversifying the Supply Base. Digital applications and analytics can support and inform effective decisions.
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?
Enter AI-powered predictiveanalytics, a game-changing innovation that reshapes supply chain management by enhancing logistics, proactively mitigating risks, and dramatically boosting efficiency.
That’s where data analytics comes in. By harnessing the power of data science and analytics, you can gain end-to-end visibility across your entire network, breaking down information silos and optimizing every stage of your operations. In this post, we’ll explore how data analytics can revolutionize your supply chain.
The supply chain and logistics industry has entered a transformative era driven by artificial intelligence (AI). Traditionally reliant on historical data and manual forecasting, predictiveanalytics has now evolved to harness real-time data and machine learning to anticipate trends with remarkable precision.
Key technologies like blockchain, IoT, and AI offer foundational support for DPPs by ensuring data security, real-time monitoring, and advanced analytics. Artificial Intelligence (AI) and Machine Learning (ML) AI and ML are essential for enhancing the capabilities of DPPs by analyzing large datasets and providing predictive insights.
Our predictions also include crucial and groundbreaking developments in the supply chain that extend far beyond pandemic response. We hope you enjoy the blog, which represents predictions and observations from across our global ToolsGroup community. Here’s to a healthy and prosperous year ahead! applications of the future.
Already upended for two years by the COVID-19 pandemic, the worldwide logistics industry is facing new challenges. 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.
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. Here, it’s extremely difficult to predict which sales volume will be reached for which goods. 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.
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.
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.
In todays unpredictable business environment, inventory is no longer just a cost centerits a strategic asset. And with volatility comes the need for smarter, faster, and more flexible inventory management strategies. Key Strategies for Inventory Optimization in 2025 1.
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? Customers’ needs and expectations are constantly changing. Do I have the resources to meet their needs? And can I do so profitably and sustainably?
These decentralized networks aim to boost flexibility, reduce risk, and improve responsiveness, aided by technologies such as blockchain, AI-driven logistics, and expanded visibility into supply chains. This deeper insight into the supply network allows companies to build more resilient and predictable operations.
In today’s fast-paced logistics environment, companies can no longer afford to rely on guesswork. This is where logistics data analytics tools come in. These tools turn raw logistics data into actionable insights that drive efficiency, reduce costs, and improve performance across the entire supply chain.
But between rising costs, complex logistics, and the constant struggle to optimize space and labor, staying ahead can feel like an uphill battle. By maximizing space utilization, improving inventory control , and boosting workflow efficiency, you can unlock significant cost savings and elevate your customer service game.
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. Static workflows based on outdated assumptions are no match for todays rapidly shifting inventory demands.
Smart slotting drives better inventory placement for better performance One of the most impactful uses of machine learning in a warehouse is intelligent slotting. Predictive capabilities and spatial learning Intelligent systems go beyond simply executing tasks, they learn the layout and flow of the warehouse itself.
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. Use machine learning algorithms to predict and mitigate risks.
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!
For instance, a student struggling with inventory management concepts can receive supplementary materials, interactive simulations, and one-on-one tutoring sessions tailored to their needs. Developing Analytical Skills Data analysis is at the heart of effective supply chain management.
And now to this week’s logistics news. Pandemic has ‘forever altered’ need for logistics space. As more sales move online, some wholesale retailers are taking steps to reduce the amount of inventory they own and are moving back to a drop shipping model. Sadly, Dick Hoyt passed away on Wednesday at his home in Holland, MA.
According to a survey of nearly 400 European supply chain professionals from Maersk and Reuters Events, Supply Chain: 90% of European organisations have deployed supply chain management software/ERP; 88% have done so for forecasting and analytics; and 85% for supply chain monitoring, tracking and visibility solutions.
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