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
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. The AI-related risks include data poisoning and model corruption. It is well known that ChatGPT can hallucinate.
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.
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.
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.
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.
CTSI-Global operates at the intersection of logistics and technology, focusing on solutions that address the challenges of transportation management. Designed to integrate seamlessly with enterprise resource planning (ERP) systems through APIs and batch processes, the TMS facilitates smooth data flow and operational efficiency.
Frederic Laluyaux, the CEO of Aera Technology, agrees with this assessment. Masson of ARC points out, “Each AI use case requires specific datasets and may necessitate different tools and techniques.” Warehouse management systems rely on RF scans of locations and products. trillion rows of data into the platform. “So
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.
During COVID, this more agile and resilient model allowed the firm to grow their market share. Jack Fiedler : We’re unique in the technology industry. We’ve taken the same hybrid approach from a supply chain technology perspective. I’m responsible for the overall digital transformation, including technology.
To address these issues, companies are adopting innovative strategies, including dynamic route optimization, real-time tracking, and even leveraging emerging technologies like drones and blockchain. Route optimization software plays a significant role in decreasing travel distances and minimizing environmental impact.
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.
Lately the term “socio-technical system has been starting to show up more and I thought this would be an opportunity to weigh in on what I think it means. People who try to describe the meaning tend to describe a system “that integrates the social and technical aspects” or words like that. The Long Wall Method.
Manufacturers rely on data and their ERP platform to answer critical questions: What are our inventory levels? Here’s an example. Mid-market manufacturers need a tool that’s tailored to their needs. The BI tool needs to be able to easily pull all this data together for analysis.
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.
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.
A lawn care and landscaping business requires a fairly substantial investment in landscaping tools and gear to get started. Whether you’re brand new to lawn care services or an experienced vet, you probably have questions about the best lawn care tools. Check out our lawn care tools list for the best lawn tools you’ll want to own.
WorkWave’s new platform brings the company one step closer to creating the field service SaaSmodel of the future through modern, end-to-end software solutions. WorkWave acquired TEAM Software, the enterprise softwareplatform for cleaning, security and facilities management industries, in September 2021.
It is a brilliant tool.” The enterprise software company also announced a new analytics solution covering external workforce management. SCCN solutions allow trading partners to collaborate across defined trading partner processes based on a common data model. Those types of disagreements disappear in a SCCN platform.
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.
Over the past year, global supply chains have faced relentless disruptions across multiple fronts, writes Matt Gregory (pictured), Managing Director Northern Europe, Körber Supply Chain Software. Adapting to Thrive One key technology driving challenge mitigation is a digital twin. Geopolitical tensions, including the prolonged U.S.-China
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.
For it to be an optimal solution, a mathematical model needs to be used. That model can then be used to analyze every new situation that arises. The model will help a company find a solution that is best for their relocated employees as a whole. Do we have a demand forecasting tool in place and, if so, how good is that forecast?
Lean models alone are no longer sufficient. All of this points to a larger issue: systems that perform well under stable conditions but lack the flexibility to respond when those conditions change. AI is helping companies better detect risk, model alternatives, and make faster decisions with more confidence.
Every ecommerce store relies on an assortment of vital components to survive and thrive, but ecommerce software is the heart of all these elements. Regardless of the size of your ecommerce brand, it doesn’t hurt to periodically reevaluate if the softwaretools you’re using are giving you everything you need.
As digital technologies embed themselves across supply chains, they will inevitably rewire existing business models into industry platforms. The question is not “if” or “when,” but “how” best to anticipate and get ahead of supply chain platform disruptions. The Role and Benefits of Supply Chain Platforms.
Lets break it down with some examples that hit home: Supplier Diversification : Reflecting on the disruptions caused by the pandemic, companies heavily reliant on Chinese suppliers faced significant challenges. An automotive company I collaborated with conducted detailed modeling of potential tariff impacts on semiconductor supply chains.
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%
Essential Steps to Using Warehouse ModelingSoftware for Design 1) Understand the Design Objectives and Constraints The first step in your review should be to determine and prioritise the objectives for your warehouse facility and operation. Order and picking profiles should be examined too.
By leveraging predictive analytics and a just-in-time (JIT) inventory model, you can maintain optimal stock levels, which reduces storage costs and cuts down on waste from unsold items. Example: Retail giant Zara uses real-time data from its stores to adjust inventory dynamically.
Enterprise resource planning (ERP) software can help these challenges by providing a single, integrated platform for managing all aspects of the business and ultimately optimizing production. When assessing ERP systems, its important to evaluate more than just general software capabilities and prices.
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.
Michael is the CEO of DFM Data Corp, a utility company designed to be a tool between digital partners moving freight in the USA and Canada. was formed in 2019 to help the fragmented North American ground transportation industry embrace digital technology … AKA the “FreightTech Revolution”. About Michael Darden.
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?
Uyghur Forced Labor Prevention Act (UFLPA) and the European Unions Forced Labor Regulation (FLR) are prime examples of this tightening framework. AI tools become more valuable when users can comprehend how the AI model arrived at its decisions.
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.
Shipping analytics tools shine a light on the value of informed freight management. Freight market participants need these top shipping analytics tools in their freight stack. Shipping status tools to track freight. Tracking shipment status is a core function of advanced shipping analytics tools. Download the White Paper.
The report outlines the tools with the highest transformational benefits and capabilities that are becoming standard business practices. In the report, you will find capabilities across five categories: technologies, competencies, frameworks, operating model strategies, and organizational models. What to prioritize.
Today’s article is from Lucas Systems and highlights the benefits of machine learning in the warehouse. That is changing as companies like Lucas introduce machine learning tools to improve planning and decision-making in the DC. For example, the traditional approach to workforce planning is to use an engineered labor standards system.
By leveraging these technologies, businesses can optimize operations, reduce costs, and make smarter, data-driven decisions. Instead of static data, AI-powered systems continuously update matrices based on real-time inputs like demand fluctuations and shipping delays.
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.
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. As supply chains transition to a more circular and sustainable model, M&A activity in this domain is expected to intensify.
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. ” – Tweet this. Summing up.
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.
We organize all of the trending information in your field so you don't have to. Join 84,000+ 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