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
Gartner calls this solution a Multi-enterprise Supply Chain Business Network. ARC’s definition is that a supply chain collaboration network is a “collaborative solution for supply chain processes built on a public cloud – many-to-many architecture – which supports a community of trading partners and third-party data feeds.
Penske Logistics has been placed by Gartner , a global research and advisory firm, in the Visionary category, as part of the 2021 Gartner Magic Quadrant for Third-Party Logistics, North America report. That manifests itself in terms of reliability. That can't typically be discerned to the naked eye.
In almost every way this is a large and very professionally run conference with over 1500 attendees, everything you would expect from a Gartner event. Guy Kawasaki, marketing guru and entrepreneur, offered a compelling keynote on innovation, drawing on examples from Apple, Google and Amazon among others. Thanks Gartner.
These are all examples of the effects production may have on the environment, in local communities, or on the people who grow and make what we sell.” That income was generated by more than 4,100 stores and fed by a sprawling supply chain, ranked 14th in 2014 by research and analyst company Gartner.
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.
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). An AI system needs to be fed data sets to learn how to behave and react. And again, data quality is a huge concern.
Editor's Note: Today's blog is from our friend Derrick Rehn with FusionOps who shows us how big data analytics can benefit you in your supply chain. . As big data analytics offer a sizeable competitive advantage for many industries, the drive to deliver cutting edge innovation in data analytics is ever increasing.
Feel like you keep on reading headlines about “ the Uber-ificiation of 3D printed big-data drones “? Freight Marketplaces : Cargomatic is a prime example of the rebirth of freight marketplaces. Ubiquitous data collection, as goods, supply chain assets and warehouses communicate with each all spell out huge data insights.
For example, do all customers need to be serviced equally regardless of size? For example, in the building materials industry, many orders are scheduled for delivery at the beginning of the day. This includes how often customers are serviced, minimum order quantity and other factors—all of which impact fuel consumption.
The Gartner Supply Chain Planning Summit held in Denver, USA, in November 2019, emphasized this very aspect. According to Marko Pukkila, Vice President and Team Manager, Gartner, who shared his views during the summit: “The job description of SCP leaders today looks totally different than 10 years ago. What is the Outside-in Mindset?
Using Gartner’s supply chain CORE model (Configure, Optimize, Respond & Execute) you may find that when hitting the Execute time horizon, there’s simply no time for a human to make a great decision. An interesting example of this is the capability AIMMS has provided in the utility grid business for the last 15 years.
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 ).”.
Modern supply chains are evolving beyond anyone’s expectations due to increased use of cloud-computing technologies, wearables and advanced data analysis. Data Analysis Grew Exponentially, Providing More End-to-End Visibility and Continuous Improvement. Data analysis is the companion of cloud-computing technologies.
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 value is in the platform that leverages data and skills across multiple supply chain functions.
For example, Amazon’s Whole Foods business is now incrementally charging for delivery to offset increased delivery costs. Machine learning (ML) will continue to be quickly adopted by supply chain technology providers because of the rich supply chain data that exists to teach ML algorithms. The post Is it too Early For 2022 Predictions?
Last week’s article covered four of the most prominent technology trends this year as outlined by Gartner. This article by Morai Logistics covers four more technology trends outlined by Gartner, what they are, and why they’re important. Edge computing changes that, allowing the data to travel a much shorter distance.
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.
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.
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. Download the White Paper.
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.
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.
Gartner vice president David Cearley describes this development as an “intelligent digital mesh” that “will be characterized by smart devices delivering increasingly insightful digital services everywhere”. If AI is the linchpin to a variety of technology, data is the life force for it.
After a hiatus of close to two years, it was really exciting to be a part of the Gartner® Supply Chain Symposium/Xpo that took place in Orlando this month. A talk around offset strategy, presented by Ken Chadwick, VP Analyst, Gartner on Day 1, deserves a mention. On the upside, they are also being provided the resources to do so.
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. Let’s take an example from one of our clients in manufacturing.
However, the digital supply chain has grown increasingly reliant on the use of “smart technologies,” such as those involved in automated data capture, analyses and the Internet of Things (IoT). How Do Companies Prevent Bad Data From Causing Issues? It is time to think about the difference between good data and bad data.
As global supply chains become more complex and customers more demanding, the race is on to develop software applications that can effectively manage and make sense of the zettabytes of data being generated by our digital world. Of course, capturing the data and then using it to make good decisions are two entirely different things.
Despite being known for the transparency they provide, blockchains aren’t foolproof when it comes down to data security. If, for example, there only a few actors along a chain, it’s more likely that that blockchain will be susceptible to poor/bad data. This is particularly true when a blockchain isn’t large.
Gartner , a leading global research and advisory firm, believes that over the next four years, the presence of AI in warehouses will also increase. The connection between AI and efficiency is also shown through the use of data automation. The insight generated from this data would be utilized to pin point ‘the most optimal routes’.
Gartner, Inc. Healthcare supply chains today face a multitude of challenges: increasing cost pressures and patient expectations as well as the need to keep up with rapid technology advancement, to name just a few,” said Stephen Meyer , senior director at Gartner. Gartner Opinion 5 (20 Voters). Source: Gartner (November 2018).
For example, it has already taken hold in online B2C transactions – placing orders and tracking delivery among other things. Gartner expects 3D printer sales to reach $13.4 Globally, Gartner expects shipments to grow at a compound annual growth rate of 106.6% What roles will this play in supply chain? billion by 2018 with 2.3
The two other advantages that a full asset owner in the container space can leverage is the ability to combine data and containers for new and smarter services , as well as improved exception management for actually changing the trajectory of shipments when containers are underway. A Maersk ocean liner generates some 2 GB a of data per day.
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 value is in the platform that leverages data and skills across multiple supply chain functions.
Whether it is or not, though, you might find the following examples of AI application in supply chain operations interesting, intriguing—or even inspirational. Analyzing data to answering questions such as “Which specific geographic areas are impacted most often by late deliveries?”. Thomas O’Connor, Gartner Analyst.
Supply chain skills in high demand, digital twins, disruptive technologies, and other takeaways from the 2018 Gartner supply chain conference. I just returned from the highly engaging and inspiring Gartner Supply Chain Executive Conference in Phoenix, Arizona. Here are some key takeaways from the Gartner supply chain event: 1.
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.
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.
For example, companies are changing their delivery strategies based upon peak and slow seasons, or even the weather to best serve customers and keep their costs in line. Yes, mobile tracking is critical to get accurate route data and know how your fleet is operating. For most, re-routes are a painful and time-consuming exercise.
Let’s take the example of inventory optimization. According to AIMMS VP EMEA Christophe Frère , there are 2 noticeable streams of technology implementation within European businesses today: The largest enterprises tend to focus on managing master data with one single integrated system, that being SAP in most cases.
My takeaways from Gartner’s Supply Chain Executive Conference 2016. Another example, this time in the oil industry, would be an oil blending app. Companies have vast amounts of data at their disposal to plot the right course, but they need powerful algorithms to draw insights from this data and make it actionable.
Chips attached to individual items will transmit data such as identification, location, temperature, pressure, and humidity. Not only that, they will also be able to transmit traffic conditions and drive-specific data, such as average speed and driving patterns back to the central office.
Defined by Gartner as the use of digital technologies to change a business model and provide new revenue and value-producing opportunities, digitalization is the process of moving to a digital business. The global logistics provider also uses cloud-based analytics software with IoT to retrieve data from smart equipment (i.e.,
Another success for Greenplan: the EPG (Ehrhardt Partner Group) route planning solution has been included in the 2023 Gartner Market Guide for Vehicle Routing and Scheduling after just two years on the market. This milestone places Greenplan at the forefront of global route planning and execution systems.
It only takes a simple example to remind you how e-commerce continues to evolve and the potential it has to disrupt traditional markets, supply chains and even governments. Let’s run through an example to demonstrate the impact of this scenario. The Traditional vs. Direct-to-Consumer Model. The post How Disruptive is Global E-Commerce?
And with data from the Office for National Statistics showing the amount of meat products exported to the EU from the UK in 2023 totalled £1.26bn, a 17% drop from the £1.53bn exported in 2019, this notable decline in exports, combined with the rising costs associated with Brexit, will affect smaller producers.
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