This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
In today’s interconnected global economy, sustainability within supply chains and logistics has become a necessity rather than an option. Worker safety and well-being remain key concerns in the logistics and warehousing sectors, where physical demands and repetitive tasks can lead to accidents and injuries.
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. Addressing Energy Challenges in Logistics The logistics sector is a significant contributor to greenhouse gas emissions.
The IoT data allows managers to detect inefficiencies, predict maintenance needs, and even assess driver performance. In an increasingly competitive logistics landscape, these capabilities allow companies to remain agile and cost-effective.
Ken is the Chief of Analytics at DAT Freight & Analytics. About Ken Adamo Ken Adamo serves as the Chief of Analytics at DAT Freight & Analytics. He leads a team of market experts who study every facet of the logistics industry to bring the best available insight to customers.
With freight transport accounting for a significant share of global emissions, efforts to improve logistics now extend beyond operational metrics to include resilience, regulatory compliance, and climate performance. CEVA Logistics, a CMA CGM subsidiary, uses Googles AI tools for warehouse management and demand forecasting.
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. With the global e-commerce market predicted to reach $8.1
For instance, advanced factory scheduling solutions use predictive maintenance inputs, which rely on sensor data to forecast equipment failures. Data fabrics need to work across an AI and Analytics lifecycle. Not all the transactional data, just the data required to calculate a metric or make a decision.
Samuel Parker and Joe Lynch discuss DAT iQ: the metrics that matter. Samuel is Director of Product Marketing at DAT Freight & Analytics ‘ Shipper segment. About Samuel Parker Samuel is the Associate Director for DAT Freight & Analytics’ Shipper segment. He lives in Denver, Colorado with his wife and son.
Key technologies like blockchain, IoT, and AI offer foundational support for DPPs by ensuring data security, real-time monitoring, and advanced analytics. Artificial Intelligence (AI) and Machine Learning (ML) AI and ML are essential for enhancing the capabilities of DPPs by analyzing large datasets and providing predictive insights.
Meeting Demand Surges in the Restaurant Supply Chain Peak demand days—such as National Hamburger Day or Super Bowl Sunday—create major stress on restaurant and foodservice logistics. Logistics and Distribution Bottlenecks On busy days, fulfillment teams face compressed delivery windows and higher order volumes.
An organization with tens of thousands of different products may have to move them across many modes of transportation, IT systems, and third-party logistics partners, all adding to complexity, as well as loss of visibility and control. Organizations are ready to implement AI and ML-driven prediction and productivity gains.
That’s where data analytics comes in. By harnessing the power of data science and analytics, you can gain end-to-end visibility across your entire network, breaking down information silos and optimizing every stage of your operations. In this post, we’ll explore how data analytics can revolutionize your supply chain.
Already upended for two years by the COVID-19 pandemic, the worldwide logistics industry is facing new challenges. 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 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. Heres how the concept plays out in real-world logistics: 1.
Developing Analytical Skills Data analysis is at the heart of effective supply chain management. MTSS platforms support the development of these analytical skills by integrating advanced tools and resources that allow learners to engage with real-world data sets.
As logistics leaders face growing pressure, from tighter delivery windows to environmental mandates, geopolitical instability, and driver shortages, one technology is proving to be a game changer: V2X (Vehicle-to-Everything) communication. What Is V2X and Why Should Logistics Teams Care?
By embedding analytics across logistics, sourcing, and fulfillment, businesses gain the visibility and foresight needed to stay competitive.Analytics-driven leadership is no longer a luxury; it’s the foundation of operational survival in todays volatile business environment. Prescriptive analytics tells them what to do about it.
As the state of the trucking market evolves and innovations improve , OTR freight management technologies and logistics service providers offer transportation management optimization to help businesses avoid significant supply chain disruption. Download the White Paper: Over the Road Freight Management Trends.
We’ll examine the key components of efficient supply chains, explore essential performance metrics, and uncover the fundamental drivers that influence efficiency. Automate supply chain processes to enhance efficiency and accuracy within logistics operations. This post delves into the core drivers of supply chain efficiency.
The advent of transportation management systems (TMS) in the 1990s introduced near-infinite metrics and data points into the supply chain yet brought with it more questions than answers: How do we centralize the data? The Fundamentals of Managed Analytics. The Benefits of Managed Analytics. How do we analyze it efficiently?
By using data analytics and advanced algorithms, Pull Logic helps businesses identify the right products to stock, increase sales, reduce unproductive inventory, and improve sustainability. Trillion Inventory Distortion Problem with Karl Swensen appeared first on The Logistics of Logistics.
If you want to gain more supply chain analytics knowledge, you’re in the right place. We’ve compiled a list of 10 great supply chain analytics books to help you better understand the concepts and strategies behind this vital business field.
But between rising costs, complex logistics, and the constant struggle to optimize space and labor, staying ahead can feel like an uphill battle. Data-Driven Decision Making : Using analytics to continuously refine operations. That’s where warehouse optimization comes in.
Interview for Metrics That Matter. My kitchen table is piled high with interviews for the upcoming book, Metrics That Matter. He is responsible for manufacturing, procurement, supply chain planning, logistics, quality, social responsibility and final product engineering. How do you define the metrics that matter?
From rule-based systems to predictiveanalytics and the generative AI boom, businesses have leveraged these technologies to optimize operations, forecast trends, and create data-driven strategies. Analyzes IoT sensor data, weather forecasts, and vehicle performance metrics. AI is evolving rapidly.
This requires using advanced analytics to analyze historical demand patterns, link the demand peaks to the promotional offers, and adjust future forecasts based on planned promotions. With the availability of a multitude of tools and digital solutions, all this processing and prediction can be easily automated.
TMS users in transportation logistics organizations are sitting atop a gold mine of actionable data captured by their TMS solutions. The shrewd operators are leveraging these data to support predictive analyses with the goal of achieving more accurate planning and execution of logistics as product moves through their supply chain.
Historically these roles are siloed, focused on their own functional metrics. Runaway demand for drugs is hard to predict and even harder to manage, but not impossible. The post How Supply Chain Orchestration Can Help Prevent Drug Shortages appeared first on Logistics Viewpoints.
Supply chains must be connected and collaborative so all links can align to business strategy and oriented toward a common set of the most important metrics (and not functional metrics that drive siloed behavior). The post 5 Lessons from the Desert for the Future of Supply Chain Resiliency appeared first on Logistics Viewpoints.
Redesign the process, then use IT I’ll give you a recent example from my business, which enables real-time supply chain visibility, with AI-powered predictive insights and analytics, for the world’s largest shippers and their partners. Metrics are critical as well. He lives in Chicago.
The global logistics industry undergoes transformative change because of technological developments which enhance delivery services from last-mile operations to worldwide freight management. The Need for Customization in Logistics The IMARC Group predicts the global logistics market will achieve $15.5
So argues Greg Petro, CEO of First Insight , a retail platform that uses AI analysis of consumer feedback to predict demand, determine pricing thresholds and model scenarios around, for example, differing tariff levels or supply chain bottlenecks. That’s a bad management strategy — the inability to predict demand,” says Petro.
It includes all of its elements: customers, sales channels, products, warehouses, logistics network, and the interactions between them. The First Step: Bring all the data together and ensure analytics and planning can happen on the same platform. . Predictive alerts: will help you prevent potential issues such as stock-out risks.
This company leverages AI and automation across multiple layers of its supply chain, including forecasting, replenishment, and transportation logistics. Optimize Transportation Routes : AI-powered analytics suggest alternative delivery routes to minimize delays and reduce costs.
Implementing predictive maintenance strategies can also help ensure that IoT devices remain reliable, particularly in hazardous and extreme environments. Investing in predictive maintenance and regularly updating IoT systems will ensure that devices remain reliable.
2022 Realities vs 2023 Predictions. Logistics teams simply don’t have the resources or time to keep up with constantly changing weather patterns and how they will impact their supply chains. by John Lash , Group Vice President, Product Marketing, E2open. The challenge for shippers and carriers alike is visibility.
The connected ecosystem of composition agents works across fulfillment, procurement, planning, and logistics. Gartner predicts that mass adoption of agentic AI is six to eight years away. The true breakthrough lies in whats next: multi-agent orchestration. That’s a savvy instinct. Still, the direction is clear.
As many retailers will look into sourcing products locally, re-evaluating their supply and logistics networks to optimize their supply chains will be more critical than ever. Returns management involving the implications on inventory and reverse logistics is emerging as an integral part of the end-to-end supply chain planning challenge.
In times that continue to defy our ability to predict them, the words of famous statistician George Box have never been more right: “All models are wrong, but some are useful.” appeared first on Logistics Viewpoints. If “the forecast is always wrong,” is improving forecast accuracy even the solution to our demand planning woes?
The way they customize Shopify for operational effectiveness bridges gaps between marketing, customer service, and logistics and converts stand-alone silos into end-to-end digital ecosystems. Personalization is no longer the sole purview of marketing it’s also a logistics differentiator.
This guide breaks down the key procurement technologies in use today and the trends reshaping the future, such as AI-driven sourcing, predictive risk management, and deeper integration across the supply chain. Advanced AI capabilities and analytics dashboards help you make informed, data-driven decisions.
This means developing supplier evaluation frameworks that include carbon metrics, working together on joint emission reduction projects, and incentivising suppliers to meet or beat carbon targets. This means deploying supply chain carbon accounting software, setting clear KPIs for emission reduction and regular carbon audits. How can we help?
Team re-building, split of responsibilities/tasks, border closure challenges, quick navigation of stock management, prioritisation of logistics to consumer needs and coordination with partners upstream and downstream. Innovation and supplier management calls for cloud-based integrated systems between partners and advanced predictive models.
He is an industrial engineer with a diploma in transportation and logistics from the University of Applied Sciences in Bremerhaven. Over the period of 2009-2015 only 88% of companies made improvement on the “Supply Chain Metrics That Matter.” (The Ralf has worked at BASF since 1989 in a variety of jobs across continents.
We organize all of the trending information in your field so you don't have to. Join 102,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content