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
As logistics networks become increasingly complex, the volume of real-time data generated by devices, equipment, vehicles, and facilities is growing rapidly. Edge computing processing data locally, near the source has emerged as a method to address these challenges by reducing latency and improving resiliency.
Analytics for Risk Management This isn't your grandmother's data analysis; we're talking about sophisticated pattern recognition that makes your shipping operation smoother than a freshly waxed surfboard. And how do you pick the right carrier if you are now receiving new data of damaged packages?
By analyzing real-time data from various sources, companies can make proactive decisions that improve collaboration among stakeholders, boost operational resilience, and increase customer satisfaction. Despite its transformative potential, the path to full AI integration in logistics presents challenges.
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.
Cyber Security is a real & ever-present concern for any organization. It is even so in the healthcare sector where there is an enormous amount of data that is sensitive and can be easily used for malicious attack if there are no proper safeguards. While IT and Security plays a bigger role in devising a […].
Companies find it difficult to fully trust the data from suppliers, complicating efforts to ensure product authenticity, safety, and ethical sourcing. Blockchain technology is supporting this by providing a secure, decentralized, and tamper-proof method for real-time product tracking.
Original article: PODCAST: Modern Courier Delivery Compliance Considerations: Understanding SOX and SOC Compliance Logistics and supply chain are some of the world’s most complex and regulated industries, which has been further compounded by increasing reliance on data and technology in both fields. What Is SOX Compliance?
Businesses face heightened uncertainty in managing costs and securing stable energy supplies. These measures enhance energy security and align with consumer and regulatory expectations for environmentally conscious practices. Blockchain also facilitates collaboration by sharing verified data across stakeholders.
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.
The synergy between warehouse robotics and rooftop solar energy presents a compelling opportunity for warehouses to enhance operational efficiency, cost savings, and sustainability. This presents a tremendous opportunity for forward-thinking warehouse owner/operators to create a competitive advantage. According to JLL, the U.S.
With the proper use of data and freight analytics , contract procurement and securing capacity can be enhanced. The incredible insights that accurate data has to offer combats volatility and unearths a clear understanding of what’s actually happening in the market. Those are the founding principles behind SONAR SCI Lane Acuity.
Market Review: Past, Present and Future. The past, present and future market forces causing today’s extreme truck capacity shortage include: Strong Economy. Intermodal transportation is another way to secure additional capacity, and is especially useful if time is not of the essence and your distance is longer. Holiday Season.
Key areas of potential improvement include: Blockchain Integration: Increased government adoption of blockchain technology could encourage its use in the private sector, enabling secure and transparent tracking of goods throughout the supply chain. Training in areas such as robotics, AI, and data analytics would be crucial.
A well-crafted cancel letter arriving within 24 hours can make the difference between losing a customer forever and securing their long-term loyalty. Pre-pay Letter Best Practices Timing and presentation are crucial for pre-pay letters. Get data-driven insights into the customers most likely to convert.
Cyber technologies have become essential and critical not just to the operation and management of numerous systems and processes on board ships but also for the safety, security and protection of the ship, the crew, the cargo, and the marine environment. What is cyber security and cyber security risk.?? Communication systems.
The smart, multi-layered tarpaulin with embedded conductivity can be applied to doors, sides, and roofs for 360-degree trailer security and is compatible with reefers, plywood boxes, containers and curtainsider trailers. “Sioen has been working on securing trailers from cargo theft for more than 15 years. Essers & Wallenborn.
Efficient data retrieval and reporting: Our Inventory Control and Quality Assurance (ICQA) teams were tasked with rapidly retrieving all relevant data associated with the recalled product. This process involves a detailed, manual verification of all units of the recalled product present within the facility.
Networked production processes and digital factories provide an important key to securing Germany’s competitiveness and innovative strength as a business centre. The Hamburg-based intralogistics provider also hosted the final event, at which the results achieved with the project partners were presented on October 22nd.
Security has been an issue since supply chains began. Theft, fraud, smuggling, sabotage, hijacking and piracy were all present. These and other factors have meant a rethink of supply chain security. Basics of Supply Chain Security. Security is part of a bigger whole. Security awareness. Business partner.
Cloud ERP Data is a business asset. And in the digital age, it is essential for every company to become data-driven. Data is what turns insight into innovation and volume into value and that makes it powerful. In order to keep up with security challenges, businesses are turning to cloud-based ERP systems.
How do you present your case to achieve the results you need? For added ammunition, your argument should be supported by measurable data points. Through precisely curated documentation, management can see clearly defined data that identifies the strengths and weakness of the company’s environmental, health and safety programming.
Internet of Things (IoT) sensor-generated data is another key piece of improving railway efficiency and operations. Accordingly, the number of IoT transport units is expected to increase , according to Statista data, from 2.6 Optimizing Railway Operations with Data. Making Data One’s Own. million in 2017 to 3.7
With Connected Training, which is now available in beta in the UK, customers can have a data-driven training experience designed for continuous, remote learning via the Samsara Driver App. Privacy Mode: This new feature within Samsara’s Video-Based Safety solution helps prevent accidents in real time without the need to record video. “We
“Man maintains his poise, balance and sense of security only as he is moving forward,” famed surgeon Maxwell Maltz once quipped. Without constantly maintained warehouse security, any other tech upgrade or customer service enhancement is basically useless. INCREASE ACCESS SECURITY. DATASECURITY. Look for these.
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. Ensuring that data transmitted between vehicles, warehouses, and control centers is secure is essential.
The conference took place February 2-5 and featured more than 150 sessions geared toward each of WorkWaves core and cross product offerings including TEAM Software, RealGreen, PestPac, Coalmarch, Fintech and its newly-announced Wavelytics TM data insights and artificial intelligence platform.
It’s easy for shippers, brokers, and third-party logistics providers (3PLs) to get lost in the freight data conversation. The opportunities, to understand market conditions and increase profitability through analytics , are more apparent through the impact and analysis of data. However, spot freight is ever-present.
Many organizations are struggling to keep up with the changing security landscape. The pace and scale at which security challenges intensify will only expand the threat landscape, and new technologies being adopted bring their own vulnerabilities. This presents the first challenge.
Because digital brokerages collect data that allows them to predict what loads and opportunities truck drivers will accept. This obsession with driver experience is attractive to shippers looking to use data to find the highest quality, lowest risk and efficiently prices truck. — So, there is an opportunity for technology to help here.
To actually realize the promise of end-to-end visibility and control over our incredibly complex supply chain networks, we need really big picture thinking — particularly when it comes to the supply chain data networks that serve as the foundation for true digital transformation. Numbers matter when it comes to supply chain data networks.
Supply chain cyber security is a growing concern for many businesses – unsurprising, given the increasing number of digital breaches that make the news. And while it’s easy to criticize these companies for failing to prevent these breaches, it’s important to note how many opportunities there are for hackers to get past cyber security.
This enables you to transform both historical and real-time data into proactive strategies. 360 visibility provides fleet managers with a comprehensive overview of their operations, encompassing past, present, and future data.
In today’s digitalized world, manufacturers must keep pace with the rapidly evolving technology landscape to remain competitive, agile, and to protect their electronic assets such as data. Outdated ERP systems expose organizations to security risks, limit functionality, impede integration, and hinder compliance efforts.
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.
In this day and age where people’s data is being input into most, if not all, websites people are using; it is important that this valuable information is protected. Without proper data integrity, third parties or those with malicious intent may access your data without permission for their own personal gain.
In the logistics and shipping industry, capacity refers to the amount of space secured on trucks and other vehicles to carry shipment loads. However, the process of securing trucking capacity can grow into a much more daunting task. . In the modern supply chain, data reigns as king, and automation has become essential.
Data is present in almost every discussion about innovation and digitalization. Nevertheless, a lot of our customers face uncertainty, insecurity or helplessness when discussing data. They store a significant amount of data in their company, but they haven’t effectively coordinated or utilized it.
As data becomes a critical resource in modern organizations, business users are clamoring for tools to ease access to data for reporting and dashboards. EA plugs data in the form of reports, dashboards and data visualizations into applications, putting the information where it will get used.
This is how the Lean methodology was born. Lean Logistics: Concepts In view of its proposal to simplify and optimize the supply chain, Lean Logistics presents the following pillars: Reduction of Inventories: The idea is to work with the concept of Just in Time, that is, a product is only produced after it has been sold.
superior technology, faster delivery times, eco-friendly vehicles) By presenting a clear description of your business, potential investors or partners can better understand how your company fits into the larger market. Include data on industry trends, growth projections and customer demand. through 2027. Research is key here.
Logistics providers need to process large quantities of warehouse data every day to control their material flow efficiently. The central dashboard delivers forecasts, status reports, and, importantly, reliable data on the individual warehouse processes in real time. This requires efficient, forward-looking warehouse management.
I gave a keynote presentation on emerging technologies (drones, driverless trucks, 3D printing, blockchain, etc.) That’s the most common question I get from supply chain professionals today and it’s the main question I addressed in my keynote presentation. The 2018 supply chain conference season kicked off for me last week.
Photo: FAO Last week in Rome, the global Food Security Cluster ?—?of FAO and WFP ensured that food security became one of the cornerstones of the global response to the pandemic and peacebuilding,” said FAO’s Dongyu. She added that the Food Security Cluster requires US$ 9.2 billion to reach 100 million people.
Lack of Proprietary Data: Machine learning models require vast amounts of data to train and effectively tackle the problem at hand. Data, often being the biggest determining factor in custom model effectiveness. Due to this increase, the overall price third parties charge for inference on data increases dramatically.
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