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Ted Krantz, CEO of Interos Interos , a company providing supply chain resilience and risk management software, emailed me to say that there was a supply chain risk everyone seemed to be ignoring – AI-related risks. Most argue that when the UI is trained with the companys own data, the risk of hallucination is small.
The current AI landscape can be viewed as a series of wars,” where companies and organizations are battling for dominance across various technological and market battlefronts. Datacenter Hardware: The demand for powerful computing to train ever larger and more accurate AI models is insatiable.
In response, many organizations have shifted toward decentralized and regionalized supply chain models, distributing production and sourcing across multiple regions. However, recent disruptions including health crises, trade disputes, logistics bottlenecks, and climate-related events have exposed significant vulnerabilities in this model.
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.
While we have made progress to solve this, it’s potentially at risk due to advancements in AI technology. Research shows that the hiring process is biased and unfair. This eBook covers these issues & shows you how AI can ensure workplace diversity.
It allows operations to remain competitive even in unpredictable market conditions and supports a variety of business models and client needs. As businesses grow or enter new markets, they need the ability to redeploy or adapt warehouse systems to minimize downtime and reduce reconfiguration costs.
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. These are not static dashboards or simple visualizationstheyre living, data-rich models of real-world operations.
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.
1: From Support Role to Centre Stage At the point of sale, customers today enjoy an unprecedented degree of choice in the range, price, and quality of products on offer, primarily due to the development of mobile technology, connectivity, and platform-based commerce.
This includes the debut of a new highperformance ServiceNow reasoning model, Apriel Nemotron 15Bdeveloped in partnership with NVIDIAthat evaluates relationships, applies rules, and weighs goals to reach conclusions or make decisions. But the model is just one part of the innovation.
One of the key approaches to simulating warehouse operations is based on employing discrete event simulation (DES) techniques and tools. DES allows the modeling of complex warehouse operations at various levels of detail. Typically, modeling is done by highly trained engineers with an industrial engineering background.
Disruptions have become the norm, rather than the exception, and the only organizations that can thrive in this new reality are those with the right tools. One consistent theme emerged from these discussions: the need to move away from disconnected logistics technology silos toward a much more connected ecosystem.
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?
Körber is a leading provider of logistics software, material handling, voice, and consulting solutions. Technology Can Aid in Hiring the Disabled. Part of the story of this retailer’s employment of the disabled in their DCs is a story of technology adoption. There is a service level agreement that the system will be up 99.9%
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. Agentic AI involves creating a system of interacting agents, each trained on a specific task or dataset.
The combination of SAP agent technologies and Databricks data fabric solution, sets the stage for end-to-end enterprise orchestration. Every ten years or so, there is a technology that truly shakes up the enterprise and supply chain software markets. Vendors that embrace the new technology take market share.
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.
Ecommerce carriers [recent market entrants]: Covers a range of operating models, examples include Pandion, X Delivery, AirTerra, Veho, The FrontDoor Collective. Parcel Training & Development – The LPF team is passionate about increasing parcel shipping knowledge throughout the ecommerce industry, one shipper at a time.
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 systems presents 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.
Senior leaders must think beyond incremental improvements, embracing systemic innovation to achieve significant environmental impact. Smart energy management systems further enhance efficiency by tracking and optimizing energy use in real-time. Reducing carbon emissions is a cornerstone of this effort.
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.
In the purest sense, a story card represents one unit of work that must be done by the developers to advance the work on the software project. In software development compromises must be made between optimizing the interface and workflows for various users. Training = Giving People Ability. A couple of reasons.
Every time technology takes one step forward, its accompanied by increased vulnerabilities that companies need to be aware of and plan for. When it comes to my approach to security, I tend to put information security leadership into two main camps: those who maintain existing systems and those who actively build and improve them.
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.
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.
Today, the steel manufacturing leader has an ambitious digital transformation agenda and is leveraging AIMMS technology to optimize operations in its home country. I belong to this second division and work mostly on mathematical modeling, simulation and supply chain analytics. . The software supports scalability.
The German software colossus has 27,000 customers and 300 million users that rely on their software. 27,000 customers are regularly using SAP Business AI, either as part of the SAP business flow or they have used SAP’s Business TechnologyPlatform to create a custom AI solution. In contrast, Joule is Business AI.
The last thing you want is to find yourself saddled with a software partner that does not have the resources to support your growing business. That’s why financial viability is such an important topic to have when evaluating which software vendor is the right one to partner alongside. For example, look into their IPO status.
When it comes to how best to manage their transportation operations, many shippers often find themselves at a crossroads: should they implement a transportation management system, outsource everything to a logistics service provider, or take a hybrid approach? Software-as-a-Service: The Preferred Deployment Model for TMS.
At the point of sale, customers today enjoy an unprecedented degree of choice in the range, price, and quality of products on offer, primarily due to the development of mobile technology, connectivity, and platform-based commerce. 2: From Asset Ownership to Platform Exploitation. The Many Purposes of Supply Chain Platforms.
Over the next two years, manufacturers are set to invest more than $250 billion in the Industrial Internet of Things (IIoT), and the use of technology to improve manufacturing will only increase. Let us take a closer look at some the advanced manufacturing technologies set to define the state of manufacturing throughout 2018.
It’s a system that can create new patterns based on the interpretations of learned patterns. Foundational Model This is where the training/learning takes place, where you’re teaching the AI how to look at things and look at input. This model component is generally a conversational chatbot leveraging the LLM to create content.
The three traditional methods are the use of a transportation management system (TMS), transportation execution system (TES), and managed transportation services (MTS). For each of these options, software and service providers need to set a clear path for success. Second is to hire, train, and retain the best available talent.
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.
The goalposts are constantly moving due to factors like global disruptions, technological advancements, and evolving customer demands. Use tools to automate root cause analysis and reduce dependency on manual reporting. Talent and Technology Integration Resilient supply chains invest in both talent and technology.
The past thirty years have seen several notable (re)evolutions in enterprise software, including client-server, Web X.0, Brief comparison of AI technologies When discussing AI and how it applies to ERP, it’s important to understand that AI has been leveraged by ERP software providers (and users) for some time.
Enter the industrial data scientist, a new breed of data analyst with access to more industrial data than ever before and the advanced technology to translate that information into actionable intelligence. However, leveraging AI requires data science capability, which adds additional complexity to an already complex environment.
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. Simulation is the most widely used benefit of a digital twin. Physical change (i.e.,
Some might say, what’s really the difference between the usual temporary or agency staffing models that the industry has used for years, and the gig economy? Gig workers access job opportunities through online platforms or mobile apps that connect them with employers or clients seeking short-term labor. Much of it is indeed the same.
Robotics Processing Automation (RPA) is a form of digitization and automation within various business models that allows management to establish a set of processes or instructions for a robot (bot) to carry out. Why Supply Chain Systems Integration Matters. Examples of RPA at Work Within the Modern Day Supply Chain.
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?”
Artificial Intelligence is not a new technology, but widespread adoption and use of AI and machine learning in supply chain is still in its infancy. There are many forms of AI, but for purposes of this article I’m referring to systems that use machine learning approaches to solve specific problems. Here are two examples.
In a previous blog AI and Machine Learning in Manufacturing ERP: Key Benefits , we discussed the benefits of using AI in manufacturing and how it could be enhanced with an ERP system. Despite the hype around AI, many manufacturers have still to implement it in their manufacturing systems. Manufacturers who implemented Industry 4.0
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