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From balancing cost-efficiency with ethical sourcing to enhancing transparency and integrating corporate social responsibility (CSR), businesses face mounting pressure to align their operations with sustainability, technology, and energy practices. The energy sector provides a compelling example of CSR-driven compliance.
From autonomous vehicles to predictive analytics and advanced tracking, AI technologies are reshaping how goods are moved, monitored, and managed across the globe. Machine learning algorithms, growing more sophisticated, will continue to refine forecasting and optimization models, allowing logistics firms to respond quickly to market shifts.
As anyone who’s experienced change in supply chain technology over the past five-to-ten years can attest, we’ve come a long way, baby. Artificial intelligence, neural networks, machine learning, robotics, mobile apps, big data, the cloud and Software-as-a-Service (SaaS). The software is still under your control.
These different softwaresystems address different parts of the delivery supply chain, from back-end operations management, all the way through to last mile touchpoints with customers. Delivery Management software is used for managing the processes around transporting goods from one location to the next, along the supply chain.
I was familiar with GXO as the former logistics segment of XPO and knew about select examples of its warehouse automation investments. But I was not well-informed on the breadth and depth of the company’s warehouse technology investments or the overarching technology strategy. Source: GXO Logistics Q3 2021 Investor Presentation.
When you begin researching Warehouse Management System ( WMS ) software, you’re probably running into some difficulties in the budgeting process because pricing is not always readily available. Transitioning from legacy systemspresents hurdles that add to the true cost. SaaS or cloud will also influence this pricing.
It can be incredibly frustrating when the software you use to run your supply chain will become unsupported. Some tools may be acquired by competitors, who then incorporate them in a vastly more expensive package. Attempting to run your supply chain on unsupported software is like walking a tightrope without a net.
Knowledge Graphs are emerging as an important tool for building advanced AI capabilities. What Celanese has accomplished is the single best example ARC is aware of employing agentic AI and copilots at scale. He also spoke at the ARC forum in 2023, and this article is based on that presentation as well. Celanese is an exception.
Manufacturers have adopted innovative solutions and technologies to deal with these issues. Artificial intelligence (AI) and machine learning (ML) in manufacturing ERP have recently added a new realm of technology that can address the complex operations found in manufacturing. What is AI and ML?
Kaizen events (or whatever we want to call the traditional week-long activity): Can be a useful tool when used in the context of an overall plan. Are neither necessary nor sufficient to implement [our operating system]. 1 There are times when any specific tool is appropriate, and there are no universal tools.
This year, I attended the TPM conference, where I listened to details during the presentations where the new alliance is aiming for 90% schedule reliability. The model that Gemini will be using is called the “hub and spoke” model which is used widely in different industries. The push for 90% is quite ambitious.
The hype usually revolves around just one item and can easily be managed by a modern logistics system. The warehouse technologies for manual, semi- or fully automatic solutions are perfectly balanced, and all processes run smoothly. Logistics software is your ace in the hand, before, during and after the peaks.
We often get asked what kind of return on investment you should expect to see when using our network design technology. To do this, we built two representative models of a business. When the models are built, running scenarios with these large businesses can be a lot of fun. Looking into opportunities.
Staying up-to-speed in leading technology requires time and investments. With all the current and upcoming logistics technology, it can be confusing for shippers to identify what will have the best impact to stay competitive now and in the future. HOW LOGISTICS TECHNOLOGY CAN HELP. WITH CAPACITY. WITH RISK MANAGEMENT.
However, there is the difficult question of which technology to implement to make better use of your warehouse. Simulation technology is broadening possibilities for how warehouses evaluate their: Processes. Use of technology. Examples of use. Calibrating the model. So, how can you tackle this task? Physical space.
However, while the advantages are clear, implementing blockchain on a large scale presents implementation obstacles that do need addressing. Additionally, the cost of implementing and maintaining blockchain systems can be prohibitive for smaller companies.
In the first issue of our AI popup newsletter series, Matt Motsick, CEO of Rippey AI and a long-time logistics technology leader, explores buying or building AI models. Matt was previously the founder/CEO of Catapult International, the industry leading ocean shipping rate management system.
From the looks of the high attendance and the extensive booth displays, there was clearly some pent-up demand for the technology on display and the insights being conveyed. The recently released and update model is branded as Locus Origin 2. We took a deep dive into KiSoft Analytics , the company’s multi-site BI tool.
In this blog, Max discusses everything you need to know about the marketplace model and why shippers should adopt it. The Marketplace Model: A Proven Model for Success & Why the Shipping Industry Should Adopt It. History and anthropology provide many examples of marketplaces throughout time. A History of Success.
The Importance of Time and Technology By gathering and analysing the data weve listed above, or as much of it as possible, you will gain credible intelligence to inform decisions about your distribution network design. Try to avoid introducing the need for backtracking and detours in transportation.
Supply chain software is changing. RFIs tend to work well for certain industries (like government) or for purchasing equipment and industrial assets, bu t t hey often fall short in helping supply chain teams select a new software vendor. Let’s take some examples. . Are there limits to the number of models?” “Can
The integration of drone technology holds the potential to revolutionize how businesses approach pest management, presenting both opportunities and considerations. However, the adoption of this consumer-driven technology faces hurdles, including technical limitations and regulatory concerns that must be navigated.
There are many different models that ensure success in any company, but for the purposes of simplicity, we have chosen one model: the 4 Ps of logistics (product, price, promotion, and place). People are important, but who knows what the future will hold as we move towards automation and other new and exciting forms of technologies.
The business literature is full of examples of this – companies who could not keep up with their own success, their performance deteriorates and, well, many of them go out of business. Starry-eyed executives often look only at the financial models, maybe equipment capacity, and skip over the operational aspects of their due diligence.
The TGW Logistics Group will demonstrate its Future Fulfilment Centre – how it works, how users can benefit from its advantages, and what technology it uses – for visitors at the LogiMAT intralogistics trade fair in Stuttgart from 25 to 27 April. The system learns through information analysis and uses real-time data for optimisations.
Machine learning (ML) techniques can be applied to provide more accurate transit information and estimated arrival times (ETAs) by analyzing the historical shipment data in your transportation management systems. The model learns continuously and can adapt to changing conditions in the network.
For example, the Cerasis Rater enables B2B sales by allowing other B2B partners to request automatically reorders, retrieve freight rates and offer e-commerce fulfillment and shipment. Ultimately, your voice must become one with B2B e-commerce technology if you want to retain a working relationship with B2B companies.
Forward-thinking supply chain professionals are looking to advanced technologies to streamline processes, improve accuracy, accelerate delivery and reduce costs. Today’s supply chains are increasingly complex, driving logistics operations to invest billions in systems to manage all the moving parts.
She is an MBTI Master Practitioner and is known as a thought leader in integrating psychological type theory with other coaching models. Through coaching and proven assessment tools, Ann helps people become aware of their personality, emotional intelligence, and how they manage their brain energy. Strategy 1 – Be present!
At supply chain and enterprise application conferences, software companies have talked about using generative AI to create user manuals. They have also talked about the use of generative AI to improve supply chain system user interfaces. A good example is saying “What are my demurrage issues at the Port of Long Beach?”
Now imagine what the distribution center of 2045 will look like if technology continues to disrupt logistics as profoundly as it has done since the 1990s. That’s probably one of the first differences you’d notice between a warehouse of today and that of 25-plus years ago—and of course it’s down to technology.
Pop up warehouses, micro fulfillment centers, and warehousing-on-demand are all examples of how the nodes are becoming increasingly dynamic. For the longest time modeling and designing such nodes, modes, and flows has been the realm of Supply Chain Design. Design can help test such ideas before implementing changes to the master data.
She knew the company was innovative; after all, Coupa created a new software enterprise category: business spend management. Coupa’s BSM platform is based on a public cloud that connects 3500 buyers to ~10 million suppliers. Coupa also has a supply chain collaboration solution that runs on the platform. Turner said.
Changing consumer preferences, rising competition and new technologies are compelling food companies to rethink their approach to supply chain management. For example, a large beef producer we visited did not centralize production planning, but let its different plants plan on their own. You also see a lot of internal competition.
This is the only supply chain software company that the industry analyst firm ARC Advisory Group knows where AI Vision is core to the solution. They are using a form of AI for image recognition in conjunction with a warehouse management system. The computer is then presented with those images.
It can be incredibly frustrating when the software you use to run your supply chain will become unsupported. Some tools may be acquired by competitors, who then incorporate them in a vastly more expensive package. Attempting to run your supply chain on unsupported software is like walking a tightrope without a net.
More Resources Home TPM24: Key Takeaways on Geopolitics, Technology and Other Drivers of Ocean Freight in 2024 Judah Levine March 27, 2024 S&P Global’s TPM24 is the major annual North American gathering of shippers, forwarders, carriers and logistic technology providers.
The TGW Logistics Group is equipped with modern technology for the digital age. The systems integrator will be presenting the full spectrum of its digital services at the LogiMAT intralogistics trade fair (31 May to 2 June) in Stuttgart. More than 600 IT specialists look after over 500 systems around the globe.
This time last year artificial intelligence (AI) was an obscure, mainly academic, technology to most of us. In the last few months, however, there has been an avalanche of stories and articles about amazingly powerful AI tools that use everyday language. The potential and challenges of generative AI are upon us.
The recent WannaCry cyber attack exploited a problem that exists at most companies today: the use of outdated softwaresystems. A similar problem exists with supply chain and logistics software. Customers who prefer on-premises deployments can also be accommodated with “always current” technology.
Below I will outline how a vendor managed inventory model, in conjunction with reverse marketing, value analysis, and collaboration will achieve supply chain cost reductions. Vendor Managed Inventory Model for Supply Chain Cost Reductions. This example, the pencil, is already a high value item). What is Value Analysis?
To solve this problem effectively, the system must also proactively identify potential bottlenecks, resource constraints, and delivery delays. IT systems can be part of the problem. However, complex process manufacturing presents a much more difficult ATP problem than is typical in discrete industries.
Now more than ever, organizations must prepare their supply chain for the present and the unknown challenges and opportunities in the future. Doing so helps organizations detect market shifts and makes supply chain decisions more forward-looking than an analysis of the past, present, and at best, a tactical view of the future.
The mobile warehouse robotics market is no doubt a crucial piece of technology to achieve warehouse automation. The robots in the system must be capable of dynamically traversing from origin to destinations along multiple paths. For business models, there exists flexibility too. Technology: The Next Differentiator?
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