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Part of the challenge in managing the modern supply-chain is due to its sheer size and complexity. There are many working parts, network partners, and opportunities for things to go wrong that some are often overlooked. Rather than hoping everything runs as smoothly, shippers today need to apply technology to ensure high customer experience levels are achieved and all shipments are delivered on time and in full.
Almost every progress-oriented company wants it right now: artificial intelligence (AI). No, actually everyone wants machine learning, which is almost synonymous for many people.
In today's rapidly evolving logistics industry, companies consistently strive for efficiency and competitiveness. However, the most significant factor driving business success isn't just technology or infrastructure—it's the people behind your processes. Employees aren't merely resources; they're your most strategic asset. High turnover rates and constant retraining costs severely impact logistics companies, draining productivity and profitability.
Combined with C.H. Robinson’s own technology and data from the largest network in the freight industry, our partnerships with research firms and universities help our customers stay on top of the trends that influence their supply chains. I had the opportunity to sit down with Tim Denoyer, vice president at ACT Research, to ask him about the current state of Class 8 truck manufacturing and what it means for truckload and less than truckload (LTL) capacity in the near future.
Often inventory is considered the simplest component of supply chain management that can successfully be managed separately. The purpose of this blog is to provide some observations to avoid the runaway train. We will first review the basics of CPE and then address the use of target inventory (specifically ending finished goods inventory EFGI) in CPEs.
Often inventory is considered the simplest component of supply chain management that can successfully be managed separately. The purpose of this blog is to provide some observations to avoid the runaway train. We will first review the basics of CPE and then address the use of target inventory (specifically ending finished goods inventory EFGI) in CPEs.
One of the biggest questions in the food supply chain is this: Will our global food system manage to satisfy the demand of more than 9 billion people by 2050?
It is that time of year. Yes, a time when well-meaning supply chain leaders share their strategy decks for the upcoming year and ask me for an opinion. I notice a trend of investment in digital for the sake of digital and then asking for help. The reason? Most because they are stuck. Their focus on technology for the sake of digital–doing the same things faster or hands-free–stalled out because of the lack of investment in human work systems.
As supply chains become more impacted by market disruptions and unpredictable events, they’re also becoming more critical to a company’s customer experience levels and bottom line. Creating a data-driven supply chain tracking important transportation metrics helps shippers respond and adapt as quickly as possible to known and unknown events. Why Monitor Transportation Metrics.
The $53 trillion manufacturing economy in the US is undergoing a major automation paradigm shift due to Artificial Intelligence (AI). Thanks to new practical frameworks, automation projects that were once impossible or inefficient to implement are now being fast-tracked, and robotics automation is becoming increasingly relevant to a growing number of users and scenarios.
ARC Advisory Group engaged in an informative discussion with Derek Gittoes, VP Supply Chain Management Product Strategy at Oracle , as part of ARC’s Digital Supply Chain Forum. Derek recently authored an article on Logistics Viewpoints describing recent advancements in logistics predictability through the application of machine learning. And we thought this to be a great opportunity to get further details on this hot topic from a practitioner on the front line of logistics application developmen
I spent a total of five years in AIESEC, the world’s largest student-run organization. My last year there was as Global Chief Information Officer—I was responsible for enabling the operations of the 50,000-student organization via digital technology. It was an opportunity for me to help accelerate AIESEC’s mission of fulfilling humankind’s potential.
Mi9 Retail’s Demand Management business was formerly known as JustEnough Software. Combined company gives retailers a powerful new technology arsenal to efficiently improve product availability under constrained supply and outperform the competition. Acquisition coincides with significant new growth investment from Accel-KKR. BOSTON (Nov 8, 2021) – ToolsGroup , a global leader in supply chain planning and optimization software, today announced its acquisition of Mi9 Retail’s Demand Management b
The Suez Canal Blockage of 2021 has cleared, and cargo is again flowing through that crucial gateway from Asia to Europe. While the immediate impact may have subsided after a week of fingernail biting, significant delays, and forced re-routings, lessons learned will hopefully stay with the supply chain industry for a long time to come. Read more Will Supply Chain Technology Help Shippers When Next Crisis Happens?
Register for the LIVE Webinar on July 8, 2021 Thursday at 11:00am. What exactly is RPA and is this a technology that is within reach for small and large supply chains, 3PL’s and shippers or just hype? Logistics and shipping enterprises are increasingly embracing digital technologies like Robotic Process Automation (RPA) and Intelligent Automation (IA) to build agile supply chain.
The Logistics of Customer Experience with Scott Perry. Scott Perry and Joe Lynch discuss the logistics of customer experience. Scott is the President of the Suddath Companies , Suddath has been a trusted name in moving and logistics for over a century. From humble beginnings in 1919 as a moving company in Jacksonville, Florida, The company has grown into a $600-million global transportation, relocation management and logistics company, serving 180 countries with 2,000 employees around the globe.
Strengthen your operations with the Supply Chain Resilience Checklist. This practical, easy-to-use tool helps your organization prepare for disruptions and ensure long-term continuity in an unpredictable world. Why Download: Identify and assess critical supply chain risks Ask the right questions to evaluate vendor preparedness Implement effective strategies to reduce vulnerabilities Improve communication, transparency, and coordination across your network What You’ll Learn: How to evaluate and m
As I rolled holiday cookies in my hands, I watched TV. I seethed as the news stations celebrated supply chain success for the December holidays. As I watched, I shook my head. I am worried. Chinese Lunar New Year in the face of a new pandemic lays before us. I expect disruption. Let me start this blog by asking, “Shouldn’t you be worried too?
Shortages of products from toilet paper to microchips during the coronavirus pandemic highlighted the value of supply chain resiliency, and the opportunities for companies that aren’t as prepared as they would like. A supply chain built for resiliency allows a company to adapt to unpredictable forces while maintaining customer service. By contrast, supply chains that are too lean may not have enough flexibility and redundancy to survive unscathed.
Many organizations faced the most disruptive year in their history as they dealt with the consequences of the pandemic. Large swings in supply and demand for different product categories and changes in distribution patterns left logistics managers grappling with the biggest challenge of their careers. Challenges that were made all the more difficult by one of the most basic yet complex questions in logistics, “How long will it take to get there?
The race to dominate AI is no longer about who has the smartest algorithms — it's about who can build and scale faster. Behind every AI breakthrough lies a battle for resources: data centers, compute hardware, power, and telecom infrastructure. And right now, even tech giants are hitting a wall. Our latest white paper reveals the six critical supply chain elements that are increasingly separating AI leaders from the rest.
Looking for a relatively quick way to measure inventory health? “It all starts with a demand-driven approach,” says Gerrott Faulkingham, director of solution engineering at ToolsGroup. “Even though we’re talking about inventory, we first have to understand customer buying behavior—and how that then translates into inventory requirements.” As a reminder, the key to measuring inventory health is to assess inventory holdings relative to expected future customer demand according to service level (pr
The end-to-end supply chain encompasses many logistics functions, but the rise of e-commerce, especially over the past year due to the pandemic, has put an intense spotlight on last mile delivery. What makes last mile delivery so challenging? How has the pandemic transformed this process? What will separate the leaders from the laggards in winning. Read more The Reality of Last Mile Delivery Challenges.
In both the academic and business arenas, there is a lot of buzz about artificial intelligence (AI); however, many computer experts point out that the term applies to so many different techniques it is often meaningless. Eric Siegel ( @predictanalytic ), a former computer science professor at Columbia University, writes, “The much better, precise term would instead usually be machine learning — which is genuinely powerful and everyone oughta be excited about it.”[1] Why is machine learning (ML)
The supply chain is the world’s most complex logistics challenge, where efficiency and accuracy are critically important to ensure goods are accessible to consumers when needed. Enterprise Resource Planning (ERP) systems play a key role for wholesale distribution companies in this process, serving (among other things) as the inventory management software that attempts to ensure that the right products are available in the right quantities at the right time and place.
The new network way of thinking that digitises and maximises enterprise performance quickly. OVERVIEW. One of the industry’s biggest concerns is how to digitise and transform quickly, without starting from scratch and having to throw away your enormous investment in traditional systems. The good news is that you don’t have to—even if you have hundreds of legacy systems and ERP instances across your company.
Transforming the Supply Chain Using AI with Max Versace. Max Versace and Joe Lynch talk about transforming the supply chain using AI. Max focuses on making AI more useful in real-world applications, especially in the manufacturing supply chain and industrial industry. About Max Versace. Dr. Massimiliano Versace is the CEO and co-founder of Neurala. With decades of experience and research in AI and deep learning techniques, Dr.
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