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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?
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.
“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.
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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.
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.
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.
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.
Quality and Detail of Data and its Analysis In some of our earlier posts, weve stressed the importance of simplicity in distribution network design , and we will return to that topic later in this article. It would be folly not to take advantage of data availability and accessibility.
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.
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These challenges necessitate extensive configuration within Advanced Planning Systems (APS) test environments to assess their impacts. APS are complex, live production environments requiring extensive configuration to accurately model a business’s operational reality.
This transformation seeks to use data, digital ecosystems, and AI to enhance data driven decision-making. In terms of the commercial operation, it seeks to provide greater value to dealer customers by arming their sales representatives with more actionable data on what the dealers will likely need to order. billion in 2023.
Manhattan Associates, a leading supplier of supply chain and omnichannel management software solutions, recently had a major product release that will shake up the supply chain planning market. This puts their SCP on the same microservices platform as their other solutions. Is this just standard PR hype?
For companies with any complexity surrounding products, channels, or customers, no IBP process can be considered robust without employing SCP tools. Supply Planning Supply planning systems create models that allow a company to understand capacity and other constraints it has in producing goods or fulfilling orders.
Jeff Erwin, VP of manufacturing at G&J Pepsi-Cola Bottlers , has been helping to accelerate the digital transformation while aligning with the company’s goals and mission to improve its operational efficiency and meet customer requirements and regulatory compliance challenges by tracking and measuring performance.
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By embracing collaboration, real-time data, and a focus on sustainability, companies can build resilience, improve margins, and gain a competitive edge. They underwent a thorough Network Optimization exercise to identify the roadmap of transitioning to a hybrid offshore/nearshore model.
Today’s supply chains are fraught with uncertainties across demand and supply yet are tasked with adding incremental value to their organizations while also meeting commercial, working capital and sustainability goals. Dynamically adjusting plans based on real-time data and evolving conditions is key to achieving both efficiency and agility.
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