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 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. Bill is a start-up entrepreneur focused on developing and commercializing real-time technology networks.
Many global multinationals accelerated their investments in digitizing data during the pandemic. According to Colin Masson, a director of research at ARC Advisory Group, the opportunity to mine these vast quantities of data to achieve business value is “NOW.” Mr. Masson leads ARC’s research on industrial AI and data fabrics.
Integration with Other Tools: The platform integrates seamlessly with other business tools and software (like CRMs and project management platforms), enabling a more cohesive operation.
Why Modern Data Warehouses Are No Longer Optional A centralized data warehouse is becoming an essential solution for businesses looking to scale efficiently and optimize operations. It’s no longer just a “nice to have,” but a critical repository for processing vast amounts of business data.
Recruitment AI technology uncovers the most qualified candidates. This technology automates recruiting routines and facilitates natural conversations, resulting in higher productivity and a better candidate experience. Download the eBook to learn more!
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.
She brings almost 20 years of supply chain and benchmarking experience to DAT, where she is focused on providing actionable insights to shippers through DAT’s Benchmark Analytics and Rateview benchmarking tools. The platform offers a wide range of features and tools to help shippers find available carriers and carriers find available loads.
Diesel Laptops started small by selling diagnostic tools on eBay and working out of Tyler’s garage. Founded in 2015, Diesel Laptops originally set out to help clients with their diagnostic tool needs. As trucks and emission technology became more advanced, a demand was placed in the market for diagnostic tools to meet those needs.
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?
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. user interface and data management agents) collaborating with specialized-skill and tool agents (e.g.,
As CTO, Shawn leads Denim’s technology strategy, product development, data operations, and development of a technical framework to support the company’s rapid growth. Shawn is an angel investor in fintech and developer tools. The visibility folks can answer the first question and Denim can help you with the money question.
These enhancements help carriers meet tighter delivery windows and ensure accuracy, enabling them to stay competitive in the fast-paced e-commerce market. Automated systems like warehouse and transportation management tools improve load management and route optimization.
As CTO, Shawn leads Denim’s technology strategy, product development, data operations, and development of a technical framework to support the company’s rapid growth. Shawn is an angel investor in fintech and developer tools. The visibility folks can answer the first question and Denim can help you with the money question.
For these companies, maintaining profitability while protecting their margins hinges on operational efficiency and the strategic use of data. Data is critical to managing every dimension of the business. The Importance of Focused Data Not all data is created equal.
As CTO, Shawn leads Axle’s technology strategy, product development, data operations, and development of a technical framework to support the company’s rapid growth. Shawn is an angel investor in fintech and developer tools. About Axle. The visibility folks can answer the first question and Axle can help you with the money question.
Tech pioneer and founder providing deal flow origination for angels, venture capital firms, corporations and family offices in diverse yet interconnected areas including Industrial AI, IOT, Artificial Intelligence, Machine Learning, Data Science, Operations Technology, Enterprise, Telecommunications, Security & Access Control.
Table of Contents [Open] [Close] Significance of Last-Mile Delivery Optimization Implementing Innovative Strategies The Role of Data Analytics Sustainability: A Necessary Focus 1. Timely and efficient last-mile deliveries are critical for meeting customer expectations. Electric and Alternative Fuel Vehicles 2.
Dynamic pricing that enables shippers to get an instant freight quotes created by a dynamic pricing tool that delivers the right price with guaranteed capacity. Rate Guard gives shippers an easy to use tool to control their freight costs and avoid the spot market. 2022 Freight Data Insights Report.
A data-driven, technology-enabled approach is required to build resilience and efficiency. AI-driven procurement tools streamline supplier negotiations, ensuring cost savings and efficiency. AI-powered monitoring systems can analyze supply chain data to identify areas for emissions reduction and sustainability improvements.
Edge Hardware: The battle for edge hardware also intensified in 2024, as companies sought to deploy AI capabilities closer to the source of data. The goal of these platforms is to provide a versatile set of tools for training, validating, and deploying AI models across a wide range of use cases.
Jon directs a team of Analysts & Data Scientists focused on optimizing algorithmic pricing and innovating business strategies by leveraging Loadsmart’s supply and demand data. With reliable contracts shippers are less likely to be forced in the spot rate market and Loadsmart has an incentive to meet the target price.
By incorporating telematics and dash cam data from its customers into its integrated risk management model, HDVI is able to select, price, manage, and retain risk more accurately and efficiently than incumbent commercial auto insurance providers.
This infrastructure brings applications closer to users, preserves data residency, and allows companies to manage their data more effectively. Building a new data center involves moving IT hardware into new facilities. The company needed to examine air traffic control data to track air shipment emissions.
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. Data privacy concerns are paramount, as AI systems rely on vast amounts of sensitive information.
Low-code tools give an easy-to-use support for building software applications, eliminating the need for in-house coding specialists. Therefore, embracing tools that assist organizations create solutions faster like low code should be a consideration to manufacturers. What is low code development? The cons of low code.
Enter the industrial data scientist, a new breed of data analyst with access to more industrial data than ever before and the advanced technology to translate that information into actionable intelligence. However, leveraging AI requires data science capability, which adds additional complexity to an already complex environment.
The only way organizations can manage large-scale operations and ease the workload of their staff, clients, and vendors is by transmitting most data digitally, implementing a robust digital process. This shift allows staff to perform better with the help of digital solutions, enabling timely responses and data transmission.
They share amazing driver stories, talk about what’s going on in the news, and most importantly, give listeners the resources and tools they need to accelerate their driveaway career to that of a six-figure trucker. Norton Transport also provides customized services to meet the specific needs of its customers. The Greenscreens.ai
This added responsibility for companies will have lasting effects on business operations, corporate partnerships, supply chain logistics, compliance requirements, and data integrity. Regulations requiring Scope 3 emissions data from companies, create an end-to-end value chain reporting issue.
Warehouse managers and executives face constant pressure to meet rising customer expectations while maintaining cost efficiency and operational excellence. By analyzing real-time data such as order trends, equipment availability, and associate performance, these systems can dynamically adjust workflows.
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. Advanced route optimization tools further support these goals. Blockchain also facilitates collaboration by sharing verified data across stakeholders.
By integrating Nauto’s AI-powered Video Event Data Recorder (VEDR) solution with Beans.ai’s precision location data and micro-routing technology, the collaboration offers a comprehensive solution tailored to meet the needs of last-mile deliveries, including VEDR compliance. Nauto and Beans.ai
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.
So why do pest control businesses choose PestPac to meet their goals and reach the next level? For True Integration With over 40 years of experience in the pest industry, PestPac is built to meet all of your business and operational needs across the board. 2024 was a growth year for us, as it has been over the past five years.
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.
Designed to integrate seamlessly with enterprise resource planning (ERP) systems through APIs and batch processes, the TMS facilitates smooth data flow and operational efficiency. These tools enhance transportation management by improving forecasting, optimizing logistics processes, and providing greater supply chain visibility.
With TrakItPro, we’ve introduced new reports and metrics that provide you with actionable data, allowing you to make informed decisions quickly. We developed a comprehensive Roadmap to integrate AI tools into our operations, a journey that began this month with our HubSpot implementation.
The manufacturing industry is currently undergoing a rapid digital transformation, and as a result, companies are generating vast amounts of data. Unfortunately, without proper processing and analysis, this data is of little use to the organization. This can lead to improved quality, reduced waste, and optimized production processes.
New technologies and tools are coming up to meet our needs. A digital data warehouse is designed with the purpose of improving business decisions by allowing data consolidation, analysis, and reporting at different aggregate levels. Today we live in an era where technology is changing at a faster rate.
A case in point is last-mile delivery, an area where IoT (Internet of Things) data may not yet be fully tapped. It also challenges companies of all kinds to employ IoT and other technologies to boost logistics skill sets and meet customers’ new expectations. . Location data is vital to last-mile logistics.
Suppliers of smart contract development tools: Ethereum Foundation, Polkadot, Hyperledger, OpenZeppelin, Chainlink How Smart Contracts Automate Supply Chains 1. How Smart Contracts Improve Procurement Automated Payments: When a supplier meets predefined conditions (e.g., Because blockchains are decentralized (i.e.,
International Logistics must find a balance between more economical costs and higher efficiency to meet the needs of different countries. With the development of the digital wave, Robotic Process Automation (RPA) technology has gradually emerged as an important tool in the international logistics industry.
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.
AI systems get better and more accurate as they collect and analyze more data. ML is a form of AI that enables a system to learn from data rather than through explicit programming. ML is a form of AI that enables a system to learn from data rather than through explicit programming.
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