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About Eric Rodriguez Eric Rodriguez is the CEO and Co-Founder of Vendorflow and has spent the last twelve years in venture-backed technology startups in product and sales management roles. Eric got his start in trucking technology in 2018 at NEXT Trucking in Los Angeles, CA, where he met technical Co-Founder Greg Bujak.
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.
When one thinks of supply chain software vendors, the name InterSystems may not spring to mind. The company aims to change this with the expansion of its data fabric portfolio. A supply chain data fabric can help companies augment their supply chain processes. ARC was recently briefed by InterSystems. Who is InterSystems?
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.
“Supply chain analytics creates new insights that help improve supply chain decision making from the improvement of front-line operations to strategic choices, such as the selection of the right supply chain operating models.” – McKinsey & Company. Inconsistent data on safety stock levels.
These sensors capture precise data on factors like location, speed, fuel usage, and driver behavior, transforming fleet management from reactive to data-driven decision-making. The IoT data allows managers to detect inefficiencies, predict maintenance needs, and even assess driver performance.
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.
Volatile markets, global disruptions, and the need for real-time insights are pushing traditional systems to their limits. Understanding AI Agents At its core, an AI Agent is a reasoning engine capable of understanding context, planning workflows, connecting to external tools and data, and executing actions to achieve a defined goal.
Chuck is the CEO and Co-founder of High Definition Vehicle Insurance (HDVI) , where he leads an experienced team of insurance, technology, and trucking industry experts who deeply understand the challenges of today’s fleets. Chuck Wallace and Joe Lynch discuss the HDVI story. About Chuck Wallace. Key Takeaways: The HDVI Story.
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.
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. Timely and efficient last-mile deliveries are critical for meeting customer expectations. Electric and Alternative Fuel Vehicles 2.
Recent disruptions have exposed significant vulnerabilities in traditional models, driven by geopolitical instability, fluctuating demand, and operational inefficiencies. A data-driven, technology-enabled approach is required to build resilience and efficiency. Automation is reducing reliance on labor in critical processes.
“What’s the best way to use data to beat your competition as a freight brokerage business?” Freight brokers are continually looking for the latest and greatest ways to add value and keep costs under control through new freight brokerage software. Real-time data increases customer service. Download the White Paper.
As logistics networks become increasingly complex, the volume of real-time data generated by devices, equipment, vehicles, and facilities is growing rapidly. Traditional cloud-centric architectures, which depend on centralized processing, may not meet speed and / or reliability goals needed to support operational needs at scale.
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.
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.
Thirty percent of digital transformation projects meet expectations. Innovation Pillars: Diagnose: primarily powered by Infor Process Mining, this capability helps organizations gain visibility into business processes, uncover non-conforming variants, identify critical bottlenecks, and optimize operations based on data.
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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.
The logistics and supply chain industry is a critical component of global trade, responsible for moving goods and materials efficiently to meet consumer and business demands. Retrofitting existing infrastructure with energy-efficient technologies further enhances sustainability efforts.
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.
We love to shine a spotlight on transportation and logistics companies that are making waves with new technology, bringing the supply chain into the future, and helping companies meet their goals. What Makes Tai TMS Different from Legacy TMS systems? Even better? Some of those include: · Email assistant. Shipment visibility.
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.
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?
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.
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
When my fiance heard about the price, he advised that I find a local hairdresser and set up a frequent-shopper account with them for a few months until the tool is back in stock. And pretty much everyone realized that the old technologies used in planning are not going to cut it anymore when there are so many moving parts in the game.
Technology for All In a retail era dominated by e-commerce giants, customer expectations have shifted towards instant product delivery at no cost. To meet these demands and ensure superior delivery experiences, retailers and carriers must leverage last-mile delivery technology.
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.
Even digital advancements, like Enterprise Resource Planning (ERP) systems, only partially solve these challenges because they still need centralized oversight and reconciliation. Smart contracts are software programs that self-execute and are stored on a blockchain. Smart contracts offer a new approach.
This infrastructure brings applications closer to users, preserves data residency, and allows companies to manage their data more effectively. Building a new data center involves moving IT hardware into new facilities. The company needed to examine air traffic control data to track air shipment emissions.
If there’s a bright spot anywhere it’s the fact that, as logistics challenges have grown, so has the availability of advanced technologies to manage these challenges. Digital control towers sit at the heart of the supply chain ecosystem, gathering real-time data on current conditions. Digital Control Towers. Warehouse Task Automation.
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.
As a result, DPPs are emerging as a straightforward, common sense solution for meeting these needs efficiently. Data Collection Accurate data is critical to the success of any DPP. Consistent, trusted data ensures the DPP reflects the true lifecycle of the product. What Components Comprise a Digital Product Passport?
This has paved the way for innovative models such as Delivery as a Service (DaaS), which promises to streamline the delivery process. Delivery as a Service encompasses a range of technologies and systems designed to enhance the logistics of transporting goods. Table of Contents [Open] [Close] What Is Delivery as a Service?
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. .
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.
Data is the lifeblood of AI in the supply chain. Without sufficient data, AI models can’t uncover meaningful patterns, make accurate predictions, or provide valuable insights for informed decision-making in complex and dynamic environments. At the same time, feeding your AI models too much data can also be a problem.
Driven by regulations and a thirst for data transparency. The potential to provide reliable, tamper-resistant data across supply chains is driving interest from various sectors, including pharmaceuticals, electronics, and food production.
This year, nearly 40,000 attendees comprising 6,200 brands from all over the world headed to the Javits Center to see what new solutions and innovations software and hardware suppliers had in store for 2024 and beyond. Throughout the conference I met with several software and hardware providers to get a glimpse into what they were showcasing.
In a recent Forrester study, they found the problem to be poor quality data. Digitization is your friend, but quality data is your foundation. Markets are rapidly evolving with a continuous stream of new regulations, new technologies are disrupting traditional business models, and new risks such as cybersecurity are arising.
Meeting today’s logistics challenges of the three C’s – customer service, carbon, and cost – companies are not just looking at gathering data, but also how to better interpret and understand this data, and then use it to drive additional value. Analyze and track your carbon footprint using logistics data.
Every year, new approaches and technology emerge, and those who fail to adapt risk falling behind. Automation and artificial intelligence are already in use in the logistics sector, but the adoption of these technologies is expected to accelerate significantly next year. But, what about the logistical chain?
She has led programs ranging from acquisitions to technology deployment with a strong focus on lean manufacturing and data management. CarrierDirect builds organizations and relationships, providing strategy and technology designed to maximize efficiency, reduce cost, and make your business stand out. About CarrierDirect.
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