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
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.
This is where pest control business software comes in as part of a robust pest control strategy, offering tools to optimize processes, enhance customer satisfaction and drive profitability by bypassing old manual processes. Disclaimer: The information below is accurate as of February 12th, 2025.
For professionals in logistics and supply chain management, understanding the implications of this technology is crucial, as it has the potential to fundamentally change the way goods are transported and delivered. Machine learning improves the vehicle’s performance by analyzing data from past deliveries and refining its operations.
From autonomous vehicles to predictive analytics and advanced tracking, AI technologies are reshaping how goods are moved, monitored, and managed across the globe. Machine learning algorithms, growing more sophisticated, will continue to refine forecasting and optimization models, allowing logistics firms to respond quickly to market shifts.
Traditional supply chain planning, which relies on historical data and reactive adjustments, is no longer adequate for managing these challenges. Organizations examine past sales trends, apply seasonal adjustments, and make forecasts based on historical models.
Curtis is on a career-long mission to advance LTL via technology, process and relationships while simplifying and demolishing the silos that have existed for decades. Curtis’ career has taken him through LTL operations – both driver and dock, Weights and Research, pricing, yield management, strategy, sales, and technology.
As anyone who’s experienced change in supply chain technology over the past five-to-ten years can attest, we’ve come a long way, baby. Artificial intelligence, neural networks, machine learning, robotics, mobile apps, big data, the cloud and Software-as-a-Service (SaaS). The software is still under your control.
These different softwaresystems address different parts of the delivery supply chain, from back-end operations management, all the way through to last mile touchpoints with customers. Delivery Management software is used for managing the processes around transporting goods from one location to the next, along the supply chain.
Retrofitting existing infrastructure with energy-efficient technologies further enhances sustainability efforts. Critical practices include: Circular Supply Chains: Designing systems that minimize waste and emphasize recycling and reuse. Advanced route optimization tools further support these goals.
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.
Learn how to organize your data operations in alignment with supply chain strategy. Forward-thinking supply chain professionals are looking to advanced technologies to streamline processes, improve accuracy, accelerate delivery and reduce costs. More data is coming in than ever before.
In a recent Wall Street Journal op-ed, Elon Musk and Vivek Ramaswamy outlined their proposal for a Department of Government Efficiency (DOGE), emphasizing streamlined governance and technological transformation. Training in areas such as robotics, AI, and data analytics would be crucial. This would reduce theft, fraud, and errors.
Knowledge Graphs are emerging as an important tool for building advanced AI capabilities. He also spoke at the ARC forum in 2023, and this article is based on that presentation as well. Agentic AI involves creating a system of interacting agents, each trained on a specific task or dataset.
Manufacturers have adopted innovative solutions and technologies to deal with these issues. Artificial intelligence (AI) and machine learning (ML) in manufacturing ERP have recently added a new realm of technology that can address the complex operations found in manufacturing. What is AI and ML?
While ProMat has always been a showcase of cutting-edge technology, the 2025 edition felt particularly focused on solutions designed to alleviate the strain on human capital, with robotics taking center stage as a powerful and increasingly viable answer.
Can you tell me about HEINEKEN’s AIMMS-based Brewing Capacity Model? I understand your team took ownership of this model. Yeah, so there was an existing Brewing Capacity Model which lived in an Excel file. It was taxing to report above the country level with this tool. There was no global master data in place either.
When you begin researching Warehouse Management System ( WMS ) software, you’re probably running into some difficulties in the budgeting process because pricing is not always readily available. Transitioning from legacy systemspresents hurdles that add to the true cost. SaaS or cloud will also influence this pricing.
Their day doesn’t begin with traditional routines but with diving deep into a digital universe where data alerts serve as guiding stars. End-to-End Supply Chain Planning Platform The end-to-end process begins with data. The result is an end-to-end planning process operating on the highest quality data possible.
Transparent data prepared especially for your logistics operation will get you easily through your peaks. The hype usually revolves around just one item and can easily be managed by a modern logistics system. Logistics software is your ace in the hand, before, during and after the peaks. Peaks are all so different.
It can be incredibly frustrating when the software you use to run your supply chain will become unsupported. Some tools may be acquired by competitors, who then incorporate them in a vastly more expensive package. Attempting to run your supply chain on unsupported software is like walking a tightrope without a net.
Staying up-to-speed in leading technology requires time and investments. With all the current and upcoming logistics technology, it can be confusing for shippers to identify what will have the best impact to stay competitive now and in the future. HOW LOGISTICS TECHNOLOGY CAN HELP. WITH CAPACITY. WITH RISK MANAGEMENT.
This year, nearly 40,000 attendees comprising 6,200 brands from all over the world headed to the Javits Center to see what new solutions and innovations software and hardware suppliers had in store for 2024 and beyond. Throughout the conference I met with several software and hardware providers to get a glimpse into what they were showcasing.
In the first issue of our AI popup newsletter series, Matt Motsick, CEO of Rippey AI and a long-time logistics technology leader, explores buying or building AI models. Matt was previously the founder/CEO of Catapult International, the industry leading ocean shipping rate management system.
We often get asked what kind of return on investment you should expect to see when using our network design technology. Given that we are a data-driven (math-loving) company, we wanted to test this range by running some scenarios to see what kind of results companies can expect across a variety of verticals. Looking into opportunities.
From the looks of the high attendance and the extensive booth displays, there was clearly some pent-up demand for the technology on display and the insights being conveyed. The recently released and update model is branded as Locus Origin 2. We took a deep dive into KiSoft Analytics , the company’s multi-site BI tool.
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.
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 the last five years, the technology to implement IR4.0 can improve the way the factory shop floor works and manufacturers now have all the tools they need to operate a connected shop floor. This enables organizations to be more flexible and responsive and make more intelligent, data-driven decisions. By applying IR4.0
At the Consumer Electronics Show (CES) 2024, companies including Hyundai, Nikola , and Bosch presented their most recent fuel cells and hydrogen technology innovations, indicating a potential comeback for this environmentally friendly energy choice. This resurgence might be influenced by the announcement of a $7 billion U.S.
However, there is the difficult question of which technology to implement to make better use of your warehouse. Simulation technology is broadening possibilities for how warehouses evaluate their: Processes. Use of technology. Calibrating the model. So, how can you tackle this task? Physical space. Staffing requirements.
The integration of drone technology holds the potential to revolutionize how businesses approach pest management, presenting both opportunities and considerations. However, the adoption of this consumer-driven technology faces hurdles, including technical limitations and regulatory concerns that must be navigated.
With the rise of digital resources and collaborative logistics , the old ways of managing shipping data and tracking information are fading. How SaaS-Based Tech Creates a Competitive Advantage. SaaSsystems are designed to be implemented easily by management teams. Share data in real-time. Delays are minimized.
Matrices are powerful mathematical tools that play a crucial role in supply chain management. They help businesses organize and analyze data, leading to better decision-making and improved efficiency. By organizing data into various matrix types, companies can perform calculations that reveal insights into their operations.
At supply chain and enterprise application conferences, software companies have talked about using generative AI to create user manuals. They have also talked about the use of generative AI to improve supply chain system user interfaces. This check involves connecting carrier contract data and shipment dwell times.
She knew the company was innovative; after all, Coupa created a new software enterprise category: business spend management. Coupa’s BSM platform is based on a public cloud that connects 3500 buyers to ~10 million suppliers. 15 years ago, Coupa got customers to agree they could leverage their data for the benefit of the community,” Ms.
the role of Generative AI, a subset of artificial intelligence that can generate data like what it’s trained on, is becoming significant. What could and should you do with this technology? with its familiar integration of technology and automation, were beginning to fade. As the industry pivots from Logistics 3.0
The TGW Logistics Group will demonstrate its Future Fulfilment Centre – how it works, how users can benefit from its advantages, and what technology it uses – for visitors at the LogiMAT intralogistics trade fair in Stuttgart from 25 to 27 April. Initially, relevant data are gathered and used for a digital representation.
Supply chain software is changing. RFIs tend to work well for certain industries (like government) or for purchasing equipment and industrial assets, bu t t hey often fall short in helping supply chain teams select a new software vendor. A typical RFI question is : “can you copy and paste data from Excel into your solution?”
Ultimately, your voice must become one with B2B e-commerce technology if you want to retain a working relationship with B2B companies. Businesses Want Platforms, Not Individual Systems. In the past, software-as-a-service (SaaS) grew to dominate the manufacturing and warehousing industries.
Both markets present unique hurdles that supply chain professionals must adeptly navigate. Traditional supply chain models may falter in such conditions, leading to inventory surplus, increased carrying costs, and potential disruptions. Leveraging technology becomes paramount to overcome the challenges posed by these market swings.
Machine learning (ML) techniques can be applied to provide more accurate transit information and estimated arrival times (ETAs) by analyzing the historical shipment data in your transportation management systems. The model learns continuously and can adapt to changing conditions in the network.
With the aid of modern supply chain technology applications, you can create better visibility within your supply chain , which will enable you to have more control over your business and stay ahead of the competition. Computerized Shipping and Tracking. Radio Frequency Identification (RFID).
. “Supply chains influence every aspect of a business’s success,” says Michael Brandl, Executive Vice President EMEA Operations at Körber Supply Chain Software. “That requires flawless execution – only possible with software and services enabling resilience, flexibility and agility.
For the longest time modeling and designing such nodes, modes, and flows has been the realm of Supply Chain Design. Just a handful of optimization and operations research experts ran models of the network and made recommendations. Design can help test such ideas before implementing changes to the master data.
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