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
Bill Catania and Joe Lynch discuss OneRail’s winning strategy for final mile. Bill is the Founder & CEO of OneRail , a leading omnichannel fulfillment solution pairing best-in-class software with logistics as a service that provides dependability and speed to help businesses meet their delivery promise.
Paul is the Founder and Chief Strategy Officer of Verusen , a supply chain intelligence platform, purpose-built to help manufacturers streamline their MRO supply and materials management. About Paul Noble As Founder and Chief Strategy Officer of Verusen, Paul Noble oversees the company’s vision and strategic direction.
Data is a big buzzword across industries, but how about when it comes to logistics? In this episode, Joe Lynch sits down with William Sandoval , the Senior Vice President of Product Management and Strategy at PowerFleet Inc. Beyond The Data with William Sandoval. Our topic is beyond the data with my friend William Sandoval.
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. Reducing dependency on fossil fuels can mitigate these risks and improve operational predictability.
Self-driving trucks and drones, a rapidly developing facet of AI in logistics, streamline delivery operations, addressing labor shortages and reducing reliance on human drivers. This advancement not only speeds up delivery times but also significantly reduces transportation costs.
An efficient supply chain strategy is one that takes every aspect of your supply chain into account, from inventory management and warehouse design to freight tendering and transport optimisation. Supply chain efficiency focuses on improving your processes whilst also reducing costs. What is Supply Chain Efficiency?
By placing photovoltaic (PV) panels on the roofs of buildings, warehouses can capture sunlight and convert it into electricity, reducing energy costs and carbon emissions. AMRs operate with autonomy, navigating complex environments using real-time 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 would be folly not to take advantage of data availability and accessibility. Inventory turnover: Inventory turns for each SKU.
But shippers looking to avoid disruptions and ensure that tight inventory levels don’t lead to missed sales opportunities pulled their orders forward. As companies look ahead to the next three to six months, they’re weighing costs, risks, and demand as they plan and adapt their inventorystrategies.
It adds that by analyzing revenue forecasts, inventory levels, and order volumes, the index provides industry stakeholders with valuable insights into what to expect in the next quarter and how these trends reflect the freight market. This combination of factors has bolstered revenue expectations despite ongoing economic uncertainties.
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. Integrate with External Tools and Data: AI Agents can augment their inherent language model capabilities with APIs and tools (e.g.,
They follow “if-this-then-that” (IFTTT) logic, meaning that when certain conditions are met, the contract automatically executes an agreed-upon action, such as releasing a payment, updating an inventory record, or verifying a shipment. Inventory counts often require manual audits, which are time-consuming and prone to mistakes.
Warehouse managers and executives face constant pressure to meet rising customer expectations while maintaining cost efficiency and operational excellence. Overlaying a dynamic layer on top of the WMS can sometimes be the the best and most efficient strategy.
By embracing collaboration, real-time data, and a focus on sustainability, companies can build resilience, improve margins, and gain a competitive edge. They design their supply chain on a continuous basis and focus on ecommerce retailing strategies that segment their customer base according to buying behavior.
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.
This year, a recurring theme that I saw was about using supply chain data to improve the customer experience across the entire value chain. Here are the ones that stood out to me, especially as it relates to supply chain data. The single data cloud runs on Snowflake, one of Blue Yonder’s partners.
IoT: Powering the Future of Digital Product Passports The Internet of Things (IoT) continues to impact how industries track products and manage data. This network of devices enables seamless, automatic data collection from physical objects in near real-time.
5G is playing an increasingly significant role in logistics, where data transfer speed and security are crucial. Supply chains can now handle larger amounts of data in real time, allowing for quicker decision-making. This connectivity helps optimize routes, reduce delays, and enhance delivery accuracy.
However, the lag in the Sales and Operations Planning (S&OP) cycle exacerbates issues like inaccurate forecasting, reduced agility, higher error rates, increased costs, limited scenario planning, and sustainability challenges, ultimately undermining supply chain performance and eroding executive confidence in the supply chain as a value driver.
The Ecosystem Today The logistics ecosystem is being transformed by the rise of connected vehicles equipped with IoT sensors and data-driven technologies. These vehicles collect and transmit real-time data on location, speed, fuel consumption, and cargo conditions, enabling more dynamic decision-making. What Are The Challenges?
This involves identifying the systems, assets, data, and capabilities that are critical to the business’s operations, as well as the threats and vulnerabilities that could affect them. This information is then used to develop a risk management strategy that takes into account the potential impact of different types of cybersecurity incidents.
Supply chain resilience refers to planning for things that could go wrong and then creating inventory buffers or contingency plans. SCP solutions provide a solid ROI based on hitting targeted service levels with less raw material, work-in-process, or finished goods inventory. The ability to meet that demand can be less than expected.
During summer days, I didn’t mind doing inventory checks in the fridge and freezer because it meant I got to cool down. In this blog, I will discuss the use of AI/ML demand planning for fresh products to help maximize sales and reduce waste. Being able to do this automatically using AI saves planners so much time and hassle.
Elliott pointed to four main predictions for 2024, and then outlined the three pillars of how Körber will be able to meet the goals that align with these predictions. Data Visibility. Data is at the center of all decisions across the supply chain. Available to sell is the on-hand inventory minus any promised inventory.
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.
The Blue Ridge Parkway is usually a magical drive in the clouds, but it turned frightening as dusk and fog descended, reducing visibility to ten feet. This survey-based research gathers quantitative data as well as information on practices or performance drivers.
We organize all of the trending information in your field so you don't have to. Join 84,000+ 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