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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.
Many global multinationals accelerated their investments in digitizing data during the pandemic. According to Colin Masson, a director of research at ARC Advisory Group, the opportunity to mine these vast quantities of data to achieve business value is “NOW.” Mr. Masson leads ARC’s research on industrial AI and data fabrics.
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.
Data is a big buzzword across industries, but how about when it comes to logistics? William shares how they transform data into critical actionable information that optimizes and powers operations throughout businesses. Beyond The Data with William Sandoval. Our topic is beyond the data with my friend William Sandoval.
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.
Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, and increase operational efficiency can benefit from a supply chain data gateway. Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.
Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, and increase operational efficiency can benefit from a supply chain data gateway. Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.
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.
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.
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. Data-driven approaches, such as predictive analytics, facilitate real-time adjustments in delivery operations.
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.
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.
One essential tool used by the supply chain team is supply chain design. Energy management solutions are products that energy utilities use to produce power and data centers use to consume power. Schneider Electric’s Journey with Network Design Lee Botham is the global director of modeling and network design at Schneider Electric.
Killing Ghost Loads and Phantom Data with Michael Darden. Michael Darden and Joe Lynch discuss killing ghost loads and phantom data. 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. About DFM Data Corp. DFM Data Corp.
5G networks significantly improve data transmission speed, latency, and device connectivity, revolutionizing supply chain operations. These advancements enable real-time tracking and monitoring, enhance automated systems, and support a larger number of connected devices.
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.
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.
Duncan Angove, CEO Blue Yonder Blue Yonder , is one of the largest providers of supply chain software. In the fourth quarter, we delivered the second largest software bookings in the history of the company. That was driven, in part, by pivoting from selling point solutions to a set of applications on a common platform.
As businesses strive to stand out, leveraging data effectively has become a game-changer. One of the most powerful yet underutilized tools for achieving this is decile data analytics. What Is Decile Data? For example , let’s consider a dataset of 100 lawn measurements in a given town.
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.
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?
CONA Services Provides a Common Platform for Supply Chain Collaboration CONA Services LLC is an IT services company owned and governed by the 11 largest Coca-Cola bottlers in North America. CONA is a strategic partner that provides its bottlers with a common set of processes, data standards, and technologyplatforms.
Julien is the Vice President of Network Supply Chain at Attabotics , the world’s first 3D robotics supply chain system for modern commerce. Julien Seret is Attabotics ’ Vice President of Network Supply Chain, where he oversees the fulfillment and delivery services business model. About Julien Seret. About Attabotics.
Learn how to organize your data operations in alignment with supply chain strategy. Forward-thinking supply chain professionals are looking to advanced technologies to streamline processes, improve accuracy, accelerate delivery and reduce costs. More data is coming in than ever before.
Manufacturers rely on data and their ERP platform to answer critical questions: What are our inventory levels? Here’s an example. After all, data is the foundation of digital transformation, and according to McKinsey the pandemic caused companies to accelerate their digital transformation plans by three to four years.
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.
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 datamodel. 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.
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.
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.
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.
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. Therefore, unlocking the value of industrial data through AI requires a hybrid approach.
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.
Uyghur Forced Labor Prevention Act (UFLPA) and the European Unions Forced Labor Regulation (FLR) are prime examples of this tightening framework. Businesses will need to ensure accurate data reporting across core operations such as sourcing, procurement, and transactions. Adding to the uncertainty, recent comments from a new U.S.
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
There are some young supply chain technologies that are getting a lot of buzz. But how mature are these technologies? There are also promising technologies that we expect will deliver great value. Finally, there are technologies that do generate value that few people have heard of. Hyped Technologies. Blockchain.
Increasing supply chain data visibility is a priority for logistics organizations looking to improve resilience. Supply chain recovery hinges on incorporating robust data analytics and other data-driven tools into business operations to increase efficiency, reduce costs and proactively manage risk.
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.
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.
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.
Solution: Use data-driven forecasting to predict demand as accurately as possible. 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.
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. Logistics software is your ace in the hand, before, during and after the peaks. Peaks are all so different.
There are some young supply chain technologies that are getting a lot of buzz. But how mature are these technologies? There are also promising technologies that we expect will deliver great value. Finally, there are technologies that do generate value that few people have heard of. Hyped Technologies. Blockchain.
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