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He is responsible for driving strategy, customer engagement, and industry analysis. He leads a team of market experts who study every facet of the logistics industry to bring the best available insight to customers. Prior to joining DAT, Adamo led the pricing and decision science teams at FedEx.
Schneider Electric’s Journey with Network Design Lee Botham is the global director of modeling and network design at Schneider Electric. In 2012 and 2013, they began using external consultants to model their Asian supply chain. Initially, regions generating lower revenue were modeled. This is when the firm hired Mr. Botham.
I have recently completed the latest ARC Advisory Market Analysis on Global Trade Compliance, available here. AI tools become more valuable when users can comprehend how the AI model arrived at its decisions. The post New Study Shows Global Trade Compliance Is Not Slowing Down Any Time Soon appeared first on Logistics Viewpoints.
Limitations of Traditional Supply Chain Planning Traditional supply chain planning relies on retrospective analysis. Organizations examine past sales trends, apply seasonal adjustments, and make forecasts based on historical models. Unlike static forecasting models, AI continuously refines its predictions as new data flows in.
Below I will outline how a vendor managed inventory model, in conjunction with reverse marketing, value analysis, and collaboration will achieve supply chain cost reductions. Vendor Managed Inventory Model for Supply Chain Cost Reductions. Reverse marketing starts first with Value Analysis. What is Value Analysis?
The Verde Group ’s Canadian and US retail studies have been published globally in over 35 publications including Business Week, Forbes, the Wall Street Journal and Fortune. Our proprietary experience analysis methodology is known as Revenue@Risk Analysis. Logistics case study. Paula Courtney LinkedIn. The Verde Group.
ITR Economics analysis shows rising and unmet demand for electric power from sustainability initiatives, coupled with the proliferation of data center construction ($27.3 As supply chains transition to a more circular and sustainable model, M&A activity in this domain is expected to intensify.
Decile data analysis involves dividing a dataset into ten ranked segments called deciles, identifying someone’s likelihood to respond to marketing campaigns or find value from the services your company provides. To effectively implement decile data analysis, the first step is to gather accurate and comprehensive data.
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’s not a short list, so we’ll set it down here as a summary to help you with plans for analysis.
Cost to Serve reporting, analysis, and modelling has much to offer organisations of all kinds. 7 Mini Case Studies: Successful Supply Chain Cost Reduction and Management. 7 Mini Case Studies: Successful Supply Chain Cost Reduction and Management. But sadly, most businesses failed to understand it. Why is that?
We conclude our ongoing series in talking about effective KPI management by giving you a real live Logistics KPIs management case study from Whirlpool's engagement with a logistics service level provider. We hope the following case study shows you the proverbial proof in the pudding of effective Logistics KPIs management. .
Once the analysis was done for Year One set up, Year Two was pretty much the same. The tool was able to create a model going out multiple years. There was no need to change parameters or re-run models in any subsequent years. River Logic came back with a working and validated model in less than one week.
The following five mini case studies explore a few high-profile companies that have managed to sustain their supply chain cost-reduction efforts and keep expenses under control. Moving to a vendor-managed inventory model wherever it was possible to do so. Procurement analysis. Introducing a formal S&OP planning process.
With the supply chains of all businesses going through a transformational shift, it is important for them to make tough decisions concerning logistics models. After the pandemic hit, flexible logistics models helped businesses to easily penetrate into dense urban markets at economical costs. What is fixed logistics?
The Future of Matrix-Based Optimization The Future of Matrix-Based Optimization AI and machine learning (ML) take matrix-based analysis to new heights. Read More Automation: Driving Efficiency with Matrices Automation: Driving Efficiency with Matrices Automation, powered by matrix-based models, enables smooth-running supply chain operations.
Scenarios also allow organizations to model how they can ‘bridge the gap’ between their current position and their strategic plan, identifying the actions required to deliver opportunities and mitigate any vulnerabilities. COVID-19 and Scenario Planning.
Another study has now found that green ammonia could replace these alternative fuels and become a leading green fuel source for the shipping industry. A new study published by the Institute of Physics shows that green ammonia could fuel 60% of shipping worldwide. Is green ammonia the answer for the shipping industry?
As a consequence, asset data can be available in real time and at low cost in a central location, enabling completely new use cases and business models. For this reason Maersk has started implementing IoT into their supply chain management business model. Photo by Pixabay on Pexels.com.
But let’s wind the clock back a bit and look at some of the simple ways that network design can work before focusing on the more complex models. You don’t need to do a months-long study with specialist tools to work that one out. Spreadsheet Models. Detailed Study. The Back-of-the-Envelope Approach. Specialist Tools.
The aim of this study is to understand ho w well these companies are fulfilling the need for increased sustainability in the chemical industry. More than twenty companies were analyzed. Three are the leaders in the market as they cover most of the challenges facing chemical companies to achieve their decarbonization objectives.
Too much leads to resources being monopolised on gathering tons of data and a subsequent risk of “paralysis by analysis” Cost to Serve (CTS) is an approach that helps you avoid both extremes. The tools for determining Cost To Serve include standard spreadsheet applications, such as MS Excel, and network design modeling software.
View the Full Case Study. Kerr pointed out that Edge built and implemented internal rating models based on Edge Logistics’ customer experiences. To give Edge Logistics a competitive advantage and help them make smart decisions and provide sound analysis to their customers . View the Full Case Study. CEO, Edge Logistics.
Studies show that 88% of consumers have abandoned online shopping carts due to unsatisfactory delivery terms, and 85% of customers will not shop with a retailer again after a poor delivery experience. This article explores different pricing models and the integration process, highlighting key considerations and potential challenges.
Predictive Analysis in Logistics and Supply Chain: How to Apply | Image source: Pexels In logistics, predictive analysis is simply the process of identifying and forecasting patterns, trends, and behaviors in both human and machine learning approaches, data, and algorithms. This ratio increased to 54% in 2022.
In process industries the supply chain models used for optimization are much more complex than those used in other industries. So, models for heavy process industries often include first principle parameters. The AspenTech models combine the classic first principles approach with the modern pure data-driven approach.
Owner-operator model under assault in CA and Congress. Now the owner-operator model is under assault again. In short… if passed, it will kill the owner-operator model that has been a lifeline of the freight business for decades and add enormous pressure to the current capacity crisis. The Top 7 Stories in Freight.
Many studies state that those who can manage the functions with the supply chain, they have a competitive advantage. Monitoring and analysis of this data may provide opportunities to intervene before issues becomes major problems. Unfortunately, the traditional workforce training models do not support the current needs.
Accurate data forecasting requires accurate data, robust data analysis tools, and people who understand how to use them. It can be used to predict long-term trends or short-term (seasonal) demand, depending on the model you use. As the old “garbage in, garbage out” adage warns, your forecast is only as accurate as the data you input.
Our Case Study: Journey Towards Continuous Improvement takes a closer look at how our analysts use best practice experience in analytics and continuous improvement to drive real change in logistics performance with our client. Download Case Study. Solution Design. Get the Full Picture.
Detailed cost-to-serve analysis can be complex and time-consuming, so it’s a good idea to break the task down by priority and target specific areas on which to concentrate. You will probably find, from your initial analysis, that your cost-to-serve follows the 80/20 rule. Why Modeling Makes Sense. Don’t Drown in Complexity.
We will discuss case studies, future trends, and guidelines for businesses considering whether to invest in this cutting-edge technology. Case Study: Controlling Browntail Moth Infestation Pest control drones offer an innovative solution for managing browntail moth infestations by quickly identifying and removing nests without chemicals.
To provide a comprehensive overview, the author draws from various academic studies, reports, and surveys to shed light on the latest trends and best practices in supply chain management. A recent study by the World Bank (2020) found that SMEs face higher logistics costs as a percentage of sales (21.3%) compared to larger firms (16.9%).
A 2013 study by the US Department of Transportation (US DoT) is receiving newfound attention, due to the recent release of ReadiML, the Machine Learning software from Fatigue Science that operationalises a scientific fatigue prediction model for daily use by transportation fleets. Greater risk from fatigued operators.
In a study of logistics providers conducted by Fraunhofer IML, only 36% of organizations reported that they had a clear overall plan for digital transformation. Digital technologies will allow companies to increase their visibility, collaboration, speed, and responsiveness ? blockchain), and video-based collaboration/content sharing.
In this blog post, we will explore the highly effective ABCD Analysis technique for warehouse optimization with its pitfalls and how organizations can leverage their data to implement this strategy successfully based on Log-hubs experience over the last years. One of the most powerful tools employed in this endeavor is the ABCD Analysis.
In this blog post, we will explore the highly effective ABCD Analysis technique for warehouse optimization with its pitfalls and how organizations can leverage their data to implement this strategy successfully based on Log-hubs experience over the last years. One of the most powerful tools employed in this endeavor is the ABCD Analysis.
7 min read Maximizing Warehouse Efficiency: Unleashing the Potential of ABCD Analysis In the dynamic world of supply chain management, optimizing warehouse operations has become an indispensable factor for businesses. One of the most powerful tools employed in this endeavor is the ABCD Analysis.
The Cost of Supply Chain Disruptions Recent studies, including one conducted by Accenture , have highlighted the staggering costs associated with supply chain disruptions. Understanding the financial impact of these disruptions and exploring effective mitigation strategies is crucial for maintaining a resilient and profitable operation.
The premise of the study was interesting. Supply chain design software requires scenario development and analysis to an even greater degree than other supply chain planning solutions. Coupa has developed a supply chain design maturity model. Belcorp has worked diligently to improve their capabilities using this model.
In a SYSPRO-led research study, 29% of businesses stated that their systems lacked responsiveness during the pandemic and that they would be pursuing new business systems to address immediate needs and accelerate digital transformation. You’ve probably travelled a fair way down this road already.
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. The Ukraine-Russia conflict is ongoing. Tensions flare in the Middle East without warning.
study found the disruptions caused by the pandemic played a huge role in the diversification of manufacturing businesses. Data enabled by an ERP system also gives the CFO information related to financial, technology and market analysis so they can drive digital transformation initiatives and assess digitization opportunity and risk.
Before the pandemic, in a study of logistics providers conducted by Fraunhofer IML, among those embarking on digitalization initiatives, only 25% of logistics providers in the Fraunhofer IML survey are leveraging digital technologies to think outside the box and reinvent their foundational delivery model.
Creator DeepMind said the machine studied older games and spent a lot of time playing the game, over and over, each time learning from its mistakes and getting better. Common applications include facial recognition, object detection, medical image analysis, and autonomous vehicles. Honestly, Computer Vision is my favorite field of AI.
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