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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. 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.
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.
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
Manhattan joins a select group of supply chain software suppliers generating over $1 billion in annual revenue. Manhattan Associates is a leader in two markets, warehouse management systems and omnichannel systems. Manhattan has been on a journey to get all their products on their microservices cloud-native Active Platform.
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.
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.
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.
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.
Matt Fain is the Co-Founder and CEO of popcapcity , which provides a cloud-based platform that enables shippers and suppliers to seamlessly connect. Popcapacity leverages technology to simplify the process of sourcing warehouse space. Their cloud-based platform enables shippers and suppliers to seamlessly connect.
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.
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.
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.
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.
As automation continues to evolve in logistics, two technologies are becoming central to modern delivery methods: autonomous drones and autonomous vehicles. However, each technology serves different purposes within logistics, and the question remains: Which will ultimately shape the industry’s operational structure?
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.
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.
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.
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.
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.
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?
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.
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.
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.
A data gateway is essentially a connective tissue across your supply chain, providing unified access to supply chain data from various sources, including enterprise systems, data feeds, data warehouses, data lakes, data marts, and business entities. Achieving these goals requires visibility into the entire supply chain.
A data gateway is essentially a connective tissue across your supply chain, providing unified access to supply chain data from various sources, including enterprise systems, data feeds, data warehouses, data lakes, data marts, and business entities. Achieving these goals requires visibility into the entire supply chain.
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.
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
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.
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%
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.
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.
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.
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.
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.
When companies consider implementing enterprise software, standard operating procedure would be to look at a public company’s financials before deciding to implement the solution. If the software company is private, the prospective customer often asks for the right to view their financials. How can they be growing so fast?
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.
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.
How are companies leveraging scenario modeling for network design and optimization ? Current Technologies in Use for Supply Chain Network Design . The company modeled scenarios and performed simulations in AIMMS Network Design Navigator with all their products grouped together. Read on for common use cases. .
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