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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. Real-time Market Insights: DAT provides real-time data on spot market rates, capacity availability, and lane-specific trends, enabling informed decision-making.
Their focus is on translating data into actionable insights that improve operations, increase efficiency, and reduce costs. Uptake leverages industrial data science to offer over 45 patents, almost 200 data science models, and has received recognition from several industry leaders such as Gartner, Verdantix, CNBC, and Forbes.
Low code is gaining a huge traction and Gartner predicts that by 2024, 65% of application development activity will be powered by low code. Low-code tools give an easy-to-use support for building software applications, eliminating the need for in-house coding specialists. What is low code development? The cons of low code.
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. Vice-President for International Business at Netradyne.
Technology innovator Synergy Logistics has been showcased in the elite Gartner® Magic Quadrant (MQ) for Warehouse Management Systems (WMS) – for the 12th successive year. Such tools also reduce both short-term costs and entry to market risks. Gartner is also focused on how companies make the most of partner agreements.
In 1990, technological research and advisory firm, Gartner, created the definition for enterprise resource planning (ERP) as: “an integrated suite of business applications. Gartner viewed ERP as a platform for business process efficiency and standardization. What is ERP? What does an ERP offer? What is Supply Chain Management?
According to Gartner, 11% of mid and large-sized enterprises currently have some form of prescriptive analytics. Source: Gartner, Forecast Snapshot: Prescriptive Analytics Software, Worldwide, 2019. Source: Gartner, Market Guide for Supply Chain Analytics Technology, May 28, 2019. More investment in data science .
It gives us immense pleasure to announce that Locus has been listed as a Representative Vendor in the 2022 Gartner® Market Guide for Supply Chain Network Design Tools. This is our second such milestone after being recently featured as a Representative Vendor in Gartner®’s 2021 Market Guide for Vehicle Routing and Scheduling.
According to the 2020 Gartner Future of Supply Chain Survey of more than 1,300 supply chain professionals, “87% of respondents plan investments in supply chain resiliency within the next two years.”. Real-time visibility tools also help you manage the exponential growth of data produced by supply chains and increased customer expectations.
Bouncing back more quickly, said experts, will require supply chain managers to turn to new ways of managing the supply chain, including using Internet of Things (IoT) data, analytics and machine learning (ML). And “it’s a great tool,” but there are more sophisticated, more accurate tools to do sourcing.
As a Gartner recognized Prescriptive Analytics software company, we’re most interested in all things digital that have analytical flavor by nature. In other words, for digital transformation to succeed, organizations need to be able to “take action” based on their data. Data availability and technology wasn’t what it is today.
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.
We are excited to announce that Locus has been mentioned as a Representative Vendor in the 2024 Gartner® Market Guide for Last-Mile Delivery Technology Solutions (LMD). This is the fourth year for Locus being mentioned in different Gartner® Market Guides. Ready to turn your last-mile from a cost center to a revenue generator?
For the third consecutive year, real-time supply chain visibility company FourKites has been named a Leader in the 2023 Gartner Magic Quadrant for Real-Time Transportation Visibility Platforms (RTTVPs). We’re proud to be recognised as a Leader yet again by Gartner.”
Reflections following the Gartner Supply Chain Executive Conference in London . This month, our team had the pleasure to attend Gartner’s Supply Chain Executive Conference in London, a growing event that we’re always thrilled to participate in. Resources and data quality are the most common obstacles. .
According to Gartner, “By 2023, 50% of global leading enterprises will have invested in real-time transportation visibility solutions.” Furthermore, 65% said they either have or are planning to implement real-time visibility and insight tools in the next two years. Gartner research on real-time visibility.
According to Gartner, 11% of mid and large-sized enterprises currently have some form of prescriptive analytics. Source: Gartner, Forecast Snapshot: Prescriptive Analytics Software, Worldwide, 2019. According to Gartner, 11% of mid and large-sized enterprises currently have some form of prescriptive analytics.
Industry experts believe that supply chains must continue to utilize Big data to improve efficiency, transparency and immediacy. . In 2012, the New York Times published an article entitled “The Age of Big Data”. Experts in the field of supply chain and logistics, consider data to be an asset in optimizing operations.
decision-making by using data and creating more accurate predictions. In these times when past practices have been overturned, people at all levels in a business need a tool to help them plan and prioritize activities. Data is the key ingredient for AI. The amount of data required depends on the goals of AI.
Michael Burkett, managing vice president at Gartner, explains how the IoT devices are being implemented. The analyst firm Gartner predicts over 26 billion Internet-connected devices by 2020. Use time-sensitive data to make more accurate predictions of demand. GE has changed from providing solely physical assets to offering data.
S till, most companies are “not very far” when it comes to implementing analytics and garnering benefits from data, as a recent survey from CSCMP suggests. I n many cases, organizations haven’t succeeded in making the organizational changes required to become data-driven. Source: CSCMP.
Often, teams think they also need plenty of clean and accurate data to do it right. We had a financial reporting tool and based on the financial forecasting of our different sales subsidiaries, we made a forecast for products and services which was translated into a monthly demand plan and a capacity plan. We took ownership of it.
What I heard at the Gartner conference is growing frustration with these large packages that have become cumbersome to use, too difficult for the average supply chain expert, lack flexibility and have high price tags. The network optimization tool should just be a means to an end. Network optimization tools aren’t future-proof.
Reflections following the Gartner Supply Chain Executive Conference in London. Last month, our team had the pleasure to attend Gartner’s Supply Chain Executive Conference in London, a growing event that we’re always thrilled to participate in. Resources and data quality are the most common obstacles. .
Businesses are prioritizing the speed of data propagation within their supply chains. According to Gold, NRF members have made significant investments in data analysis to improve their ability to predict consumer demand to prevent bloated inventory levels that many large retailers experienced around this time in 2022. and Target Corp.
As reported by Project 44 , “ Gartner projects that 50% of global companies will have implemented or invested in “real-time transportation visibility solutions.” Companies are rapidly adopting and using real-time data to clearly understand challenges to better mitigate unexpected problems when they arise.
On the other hand, there is a rising need for smarter and more flexible tools as well as more staff with analytical capabilities. ERP systems have reached their limits and there is a pressing need for more flexible and smarter tools. You trade data visibility for responsiveness. The challenges: demand, staffing and technology.
Why you don’t need perfect data to start implementing S&OP : To truly leverage S&OP to improve business performance and predictability, you need to embark on a change management process and you need the right technology to self-enable your team. Often, teams think they also need plenty of clean and accurate data to do it right.
As Gartner explains , “a good way to think about S&OE (Sales & Operations Execution) is to picture a middleman that receives, interprets and forwards information between the operational and strategic levels.” [S&OE] deals with all the issues stemming from actual demand and supply (source: Gartner ).”.
Big data, analytics, BI…Everyone in business today has heard these terms at some point, and yet the path to analytics-driven business improvement remains somewhat elusive. Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast! There is a huge marketing push for big data at the moment.
I’m going to do that so I can continue to expand my use of the vast sets of data that have come online in my business in the last few years – which I’ve paid to have available but haven’t yet exploited. My team has the capacity, capability and tooling to pump out additional differentiation every quarter. Second thing.
Using AI indirectly to augment the human in Gartner’s Configure, Optimize & Respond categories can be a tool not to replace creative decisions but instead, free up time and mind space to make better creative decisions. What about Configure, Optimize & Respond? How soon will organizations start benefiting from AI?
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.
If you’ve read up on the latest topics in the field of data analysis, 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. Take production planning tools, for example.
As Gartner reported earlier this year, Gartner estimates that the majority of cloud security failures will be the fault of the customers through 2023. With that in mind, with the necessary investment and skills, data security on the cloud is not only not a liability, it’s actually a strength.
However, technology also helps develop advanced tools that enable third party logistic providers (3PL) to gain a competitive edge. Technology provides an unceasing transmission of insight in the form of big data. Supply chains must be predictive, preventative and proactive to ensure that transactions run efficiently and effectively.
As a Gartner recognized Prescriptive Analytics software company, we’re most interested in all things digital that have analytical flavor by nature. In other words, for digital transformation to succeed, organizations need to be able to “take action” based on their data. Data availability and technology wasn’t what it is today.
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.
By putting data into the hands of the companies, business partners, and customers that want it, supply chain visibility helps all stakeholders track products from the point of manufacture to the final destination—and all points in between. Break down your data silos. Add a transportation visibility platform to your tech stack.
I was recently reading through our latest Gartner Peer Insights reviews , when I noticed one theme cropping up time and time again. Visibility and the associated data can be a key component as part of the digital strategy.”. – Supply Chain Architect, Eastman Chemical Company, Gartner Peer Insights. Crossing the STREET.
As part of this announcement, FourKites unveiled Sustainability Hub, a suite of analytics tools to provide better visibility into resource consumption and waste generation; a new Sustainability Advisory Board; and ongoing original research around sustainability. CSCOs expect the focus on digitalisation to increase.
What I heard at the Gartner conference is growing frustration with these large packages that have become cumbersome to use, too difficult for the average supply chain expert, lack flexibility and have high price tags. The network optimization tool should just be a means to an end.
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.
The trick is understanding which combination of settings produces the desired results on the data. By using this approach and running it against a representative data set, the system can produce optimization scenarios much more quickly than through human configuration.
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