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
Shippers, brokers, carriers, news organizations and industry analysts rely on DAT for trends and data insights based on a database of $150 billion in annual market transactions. He is responsible for driving strategy, customer engagement, and industry analysis.
Delegate research conducted by Netradyne at the Gartner Supply Chain Planning Summit has revealed the untapped potential of artificial intelligence (AI) to boost fleet safety for greater precision and profitability in supply chain logistics and transportation.
Modern supply chains are evolving beyond anyone’s expectations due to increased use of cloud-computing technologies, wearables and advanced dataanalysis. DataAnalysis Grew Exponentially, Providing More End-to-End Visibility and Continuous Improvement. Dataanalysis is the companion of cloud-computing technologies.
Also, for whatever reason, Gartner limits the scope of the Top 25 to companies in the manufacturing, retail or distribution sectors. As in years past, Gartner has shifted a few of the very best supply chains out of the Top 25 list, presumably to make it possible to include a few new names in the rankings from year to year. Media Type.
Gartner observes several trends in this market for data analytics and intelligence. One overarching theme is the convergence of analytics & BI, data science and AI. This report covers market analysis on: Supply chain specific market trends - what are supply chain organizations looking for?
Our businesses are overwhelmed with data. Thanks to digitization, we collect and store data on nearly every activity in our working day. However, just like a traditional filing cabinet full of physical files, this data is only relevant if you know how to use it.
What is big data? All successful businesses use data to develop strategies and review their outcomes. But as the number of systems being used increases, the amount of data available for consumption and analysis grows exponentially. Unstructured data isn’t as accessible to search or export and is often text-heavy.
Businesses are prioritizing the speed of data propagation within their supply chains. According to Gold, NRF members have made significant investments in dataanalysis to improve their ability to predict consumer demand to prevent bloated inventory levels that many large retailers experienced around this time in 2022.
The automation opportunity is not only for laborers, but also for knowledge workers who spend an inordinate time preparing data and running reports rather than conducting higher-value analysis and planning.
Low code is gaining a huge traction and Gartner predicts that by 2024, 65% of application development activity will be powered by low code. Before deciding on low code tools, take the time to conduct a detailed needs analysis where you make sure the solutions you choose are fit for your organization today and into the future.
However, the application of such data does not necessarily translate into meaningful improvements within day-to-day operations. Yes, analytics add value, but that value often gets overshadowed by the sheer volume of freight data insights available. And it’s in this space where big data analytics can add the most value.
Supplier Relationship Management Supplier relationship management, SRM for short, is defined by Gartner as a business initiative that many companies undertake to build mutually beneficial relationships with suppliers. Adding an SRM layer simply forces you to analyze this data once in a while, and use the information to improve your business.
UK-based robotics and data intelligence company Dexory is introducing a first of its kind, AI-powered logistics engine to help warehouses maximize operational efficiency, optimize inventory management, and enhance the overall warehouse agility and responsiveness.
Mitigating your risk comes down to using technology to make better decisions faster by using better data. You must use a network of data to measure yourself against the current market and your peers. Technology allows shipment data like tracking and more to your customer in real-time using methods like APIs or geofencing.
According to a recent Gartner report, “logistics leaders should understand the full scope of the disruption: The geographic reach of the affected areas, the trade lanes and modes involved, and the type of freight at high risk. KPIs and data points can help pinpoint potential imbalances in costs and profits. Download the White Paper.
Offering superior data quality and a network of over 250,000 carriers of all modes around the globe, Blume helps shippers, logistic service providers and carriers to navigate disruptions and create agile plans amid supply chain uncertainty,” said François d’Ivernois, Associate Vice President for Business Development, Blume Global, Europe.
According to this report by Gartner, released in January 2019, the top technology trends for the year were artificial intelligence, advanced analytics, IoT, robotic process automation (RPA), autonomous things, digital supply chain twins, blockchain, and immersive experience. The research firm expected the revenue in 2019 to reach $1.3
Let’s take a look at what happened with the major themes, as well as the research and analysis we conducted in 2022 to help determine what those themes will look like in 2023. Unlike the folks projecting election results these days, I was a little more accurate and the 2022 projections have set the stage for what will happen in 2023.
So when I asked Cathy Roberson, a senior analyst at Transport Intelligence and a tech-enthusiast who is vox supplychainus on Twitter at cmroberson06 , I was not surprised when she sent me back an analysis that seems to match up perfectly with some of Google’s recent projects: Google Glasses, Android and 3D printing. through 2018.
If you’ve read up on the latest topics in the field of dataanalysis, then you’ve probably encountered the term Prescriptive Analytics. Prescriptive Analytics is at the cutting edge of data science and companies are increasingly interested in exploring its benefits. billion in value by 2019.
Christian Titze from Gartner explains, As companies seek to exploit the benefits of greater levels of digitalization, new and innovative technologies, such as blockchain and artificial intelligence (AI)/machine learning, can potentially and significantly disrupt existing supply chain operating models. Digital Twin.
Supply Chain Network Design : Network analysis and design is used to select the right number, location, territory, and size of warehouses, plants, and production lines; and optimize the flow of all products through your supply chain. That’s what makes our Map different that a Gartner Magic Quadrant – for instance.
Gartner Inc. defines this technology as: A form of advanced analytics which examines data or content to answer the question “What should be done?” It’s an algorithmic decision making model that analyses data in order to take action. or “What can we do to make _ happen? Benefits for Supply Chains.
They are: Strong Analytical Skills: Supply chain is all numbers and analysis. To lead the function effectively, it is extremely essential for the leader to be comfortable with numbers, handling large amounts of data, analytics, and the various analytical models that are used for decision making.
Analyst group Gartner sees such regulations as one of the forces behind fleet telematics systems growth of 15% (CAGR) — from 6.7 While Gartner notes the benefits of enhancing driver safety, it also recommends investing in related vehicle tracking systems to exploit telematics data and to improve fleet efficiency. “But,
Supply Chain Network Design : Network analysis and design is used to select the right number, location, territory, and size of warehouses, plants, and production lines; and optimize the flow of all products through your supply chain. That’s what makes our Map different that a Gartner Magic Quadrant – for instance.
The integration of real-time data feeds—including weather, traffic, socio-economic disruptions, and other factors—optimize decision modeling, risk analysis, and other critical supply chain processes. New Gartner research shows that only 21% of supply chain organizations believe they have a highly resilient network today*.
Gartner defines the IoT as “…the network of dedicated physical objects (things) that contain embedded technology to sense or interact with their internal state or external environment. The potential for devices and sensors to gather data is almost endless and some folks are not so comfortable with this. Data Storage and Analysis.
It’s not by accident that 82% of procurement leaders surveyed for the Gartner research “Future Supply Chains: Resilience, Agility, Sustainability & Technology” in 2023 stated they want to make significant investments in technology over the next five years.
According to a Gartner report, 85% of businesses are predicted to have some form of RPA solution in place by the end of 2022. Programs that centrally manage the data now automatically acquire and analyze data relating to consumption patterns, orders, and supplies.
Gartner predicts that machine automation will become an increasingly crucial aspect of supply chain management. Cloud computing and big data offer opportunities for many businesses across the globe. For example, a comparative analysis of sales and inventory will raise red flags if there are shortages or gluts.
Join us as our experts delve deeper into the intricacies of the current freight benchmarking industry and uncover how artificial intelligence (AI), machine learning (ML), and real-time data analytics are shaping decision-making and operations in logistics and benchmarking in 2024. The outcome?
If you’ve read up on the latest topics in the field of dataanalysis, then you’ve probably encountered the term Prescriptive Analytics. Typically, organizations use Excel to start getting insights about what to do when, using data from transactional systems. Validating and finding errors is taxing.
One of the most efficient ways to optimize a chemical supply chain logistics strategy from top to bottom is through proper planning, analysis, and smart decision-making in the procurement, bidding, and benchmarking process. Validate and analyze available data. Access to a variety of internal and external data sources, including TMS.
Join us as our experts delve deeper into the intricacies of the current freight benchmarking industry and uncover how artificial intelligence (AI), machine learning (ML), and real-time data analytics are shaping decision-making and operations in logistics and benchmarking in 2024. The outcome?
In fact, technology analyst, Gartner , predicts that 75% of large warehouse enterprises will have adopted some form of intralogistics related smart robots by 2026. Then, by inputting a customer’s real data set, we can apply routing logic to allow us to view its performance and see in advance, any potential bottlenecks in the system.
As a result, the newly merged company developed a systematic methodology for network design optimisation, based on the following four principles: A continual process of high-powered modelling and network design analysis. A disciplined approach to the collection, cleansing, and standardisation of supply chain data.
ABC/XYZ analysis can help identify the most valuable items to your business. It can also increase manufacturing speed and improve process efficiency by immediately processing high levels of data. The algorithms used by AI provide better quality data and analysis of supply chains to enable better-informed decisions.
ABC/XYZ analysis can help identify the most valuable items to your business. It can also increase manufacturing speed and improve process efficiency by immediately processing high levels of data. The algorithms used by AI provide better quality data and analysis of supply chains to enable better-informed decisions.
Cloud & Big Data. IDC calls this combination "Third Platform", Gartner calls it "Nexus of Forces" and Cognizant calls it "SMAC "- Social, Mobile, Analytics and Cloud. Analytics Analytics means scientific and systematic analysis of data. Big data and advanced analytics are buzz words today in enterprises.
Professionals New Perspectives – 2017 Salary Guide Get the most up-to-date salary data for your local job market and around the country, plus the latest job descriptions and industry insights-from the experts in staffing and recruiting top specialty talent. Related: The 50 Smartest Companies in the World. Download Now! Download Now!
Professionals New Perspectives – 2017 Salary Guide Get the most up-to-date salary data for your local job market and around the country, plus the latest job descriptions and industry insights-from the experts in staffing and recruiting top specialty talent. Related: The 50 Smartest Companies in the World. Download Now! Download Now!
To put that claim into some perspective, consider this data revealed by Gartner from research conducted in 2014: The research found that by this year (2016), 89% of companies expected to be competing primarily on the basis of customer experience.
Greg Aimi is a Senior Director Analyst with 14 years of experience at Gartner and more than 34 cumulative years of experience in the supply chain and logistics field. His works commonly include an analysis of global logistics trends, distribution strategies, best practices, logistics outsourcing, integrating systems and more.
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