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Learn how to organize your data operations in alignment with supply chain strategy. Complex supply chains generate more data, which companies can use to drive greater efficiency or engage in innovation that disrupts an entire industry—think Amazon. More data is coming in than ever before.
Where and how manufacturers make products for Americans will change in 2017. The solution to this problem lies in understanding the “First Five” core concepts and industrial manufacturing trends throughout 2017, and you need to think how they will impact the industry and your company in the coming year. In its raw form, it is useless.
Where Freight is Going in 2017. But data transparency within the logistics industry is lacking at best. Take a look at the range in carrier prices for forwarders along one the world’s busiest routes (Shanghai to Long Beach, CA), in a data snapshot from mid-December 2016. Transparency and Overcapacity. What happened in 2016.
Rebounding freight volumes and the proximity of the electronic logging device (ELD) mandate are set to change the industry in 2017, reports Sean Kilcarr of FleetOwner. Unlike the all-time highs of 2014, 2017 will reveal an industry on the cusp of restoring order and LTL rates to acceptable, reasonable levels.
Which is why a drone took flight from the stage during Ryan’s keynote address at the Descartes Evolution 2017 Conference a couple of weeks ago and broadcast real-time video of the audience as it flew across the front of the hall. Descartes (@DescartesSG) March 28, 2017. million in FY 2017 (net income has grown from $12.0
An example would be hearing out reasons behind the needs each side wants to address. 4 Drivers of the Looming Transportation Capacity Crisis of 2017. What do you think will happen by 2017 in this transportation capacity issue? crisis may be an understatement rather than an over statement. Let us know in the comments below.
Although rate volatility is expected to stabilize in 2017, organizations must do more with fewer resources to survive. From Amazon to hyper-local retailers, 2017 will be a year of intense scrutiny and pressure on logistics providers. This graph shows how quickly the surge begin and rise in 2017. Consumers have power.
Data analytics for logistics can make all the difference in the world when it comes to reefer truckload service delivery efficiency. However, the data [that powers them] hasn’t previously been utilized to its full capacity until recently.” Take the example of RCRPMF.USA in the image. last year and $2.19 the year prior.
In 2017 losses incurred from catastrophes such as hurricanes, wildfires, and earthquakes could make it one of the costliest years in history for the property insurance industry, Savitsky noted. Hurricane Maria, which slammed into Puerto Rico on September 20, 2017, is a prime example of a catastrophe that reverberates through supply chains.
Jeff Tramel, the Vice President of Global Procurement, at NTT DATA Services. SAP recently announced that NTT DATA Services, a global digital business and IT services company, had achieved $125 million in value based on a digital transformation of their procurement function. And more importantly, how did NTT DATA do it?
I learned that fact (and many more important things) at the Command Alkon ELEVATE 2017 conference in New Orleans this week. As the compliance date for the Electronic Logging Devices (ELD) mandate approaches (December 18, 2017), there are two important questions to be answered: How will it impact capacity?
Again and again, digitization and data were at the heart of panel and networking conversations. Even headline speakers were professing “data got sexy” and data is now a core strategy for companies looking to succeed. Supply chain leaders are wanting their organizations to be data-driven.
Last month, I attended and spoke at the Command Alkon ELEVATE 2017 conference , where I learned many things about the Heavy Building Materials (HBM) industry. For example, I learned that there’s a difference between cement and concrete, even though many people use the terms interchangeably.
Internet of Things (IoT) sensor-generated data is another key piece of improving railway efficiency and operations. Accordingly, the number of IoT transport units is expected to increase , according to Statista data, from 2.6 million in 2017 to 3.7 Optimizing Railway Operations with Data. Making Data One’s Own.
The answers were revealed at the SummerCon 2017 conference a couple of weeks ago where LLamasoft introduced “Planning by Design” and SupplyChainPlanning.com, which the company describes as “building blocks to improve your current planning capabilities through design technology.”. What would this “next generation solution” be?
Cass Truckload Linehaul Index – May 2017. Wal-Mart, loath to give any business to Amazon, said it keeps most of its data on its own servers and uses services from emerging AWS competitors, such as Microsoft Corp.’s Joking aside, when it comes to sensitive data and where it’s stored, I can understand Walmart’s concern.
The new platform also makes it easy to identify data relationships, trends, and search out exceptions allowing the ability to easily perform functions that previously required extensive data extractions and time-consuming spreadsheets.”. There were several well-attended sessions at the conference focused on fleet management.
One of my supply chain and logistics predictions for 2017 was that traditional software user interfaces would start migrating toward chatbots and virtual assistants. Some examples of what a user could ask Coleman: – “Coleman, what is the accounts receivable balance for ACME Corp?
In his 2017 annual shareholder letter , Bezos lauded “divinely discontent” customers as innovation drivers. These examples are from retail, but I sense that the same customer empowerment phenomenon is happening broadly across everything we do at Amazon and most other industries as well. billion between 2015 and 2017.
Mobile technologies in transportation and logistics have come a long way over the past decade — that is, since the iPhone was first introduced, followed by Android devices. And when it comes to last-mile and home delivery operations, mobile technology has become indispensable. See also news from Onfleet linked above.
As 2017 comes to an end I took some time to pull together the top 6 most popular blog posts this year, as indicated by our readers. So take a few minutes and enjoy the best of 2017! #1. 2017 Digital Transformation Trend: Integration is King. 2017 Digital Transformation Trend: Smart Anything. Video: Caterpillar, Inc.
Logistics Applications of Blockchain Maintain Data for All Parties. Logistics applications of blockchain all derive from maintaining an incorruptible data resource. For example, initiating a recall is streamlined through blockchain by showing all movements of affected shipments. It also affects reverse logistics.
Jeff Tramel, the Vice President of Global Procurement, at NTT DATA Services. SAP recently announced that NTT DATA Services, a global digital business and IT services company, had achieved $125 million in value based on a digital transformation of their procurement function. And more importantly, how did NTT DATA do it?
Since the third quarter of 2017, many manufacturers have been regularly confronted by scarcity in the transportation market – a problem they haven’t encountered in years. Freight prices are also going up because of carrier rate increases since the last half of 2017. Shippers are feeling the effects of scarce carrier capacity.
Modern supply chains are evolving beyond anyone’s expectations due to increased use of cloud-computing technologies, wearables and advanced data analysis. A common theme of the 2016 predictions was growth and scalability, so let’s look at how companies are using these technologies as we prepare for the innovations of 2017.
The data these investors and purchasers gather from CDP is crucial to inform their decision making, help them engage with companies, reduce risks and identify opportunities. “ million (US$3.6 billion (US$4 million).
Target acquired Shipt in 2017 to provide the foundation of its same-day delivery. Whether considering where to start or what they have to gain, most merchants find the necessary insights to move forward with business intelligence tools that mine their own fulfillment data and customer interactions. Critical data to track.
Gatik was founded in 2017 and has since raised $115 million in funding. However there’s no single path for fully autonomous vehicles and makers deploy various tools for testing, including Lidar sensor technologies, connected cameras and visual data analytics functionality. Money on the Middle Mile.
Many-to-many can also refer to many participants in a network accessing many, many sources of event data critical to supply chain operations through a public cloud network. Real-time location and IoT data such as condition statuses (e.g., In February 2017, Koch Equity Development LLC invested $2.68 billion in Infor.
Svend Lassen, head of reporting & data analytics for commercial and supply chain at Tata Steel Europe, explained that there needs to be a clear understanding of how any digital project will improve margins before the project is approved. “We Planners come up with data-proven forecasts on what the market may buy.
The Industrial Internet of Things (IIoT) and the Internet of Things (IoT) are similar, but both function on the connection of equipment to the internet and applying data collected to consumer and business needs, including the needs of manufacturers. The First 5 Manufacturing Tech Trends of 2017.
Cyber risk is just one of the indicators of the index which reflects data related to economics, natural hazards and supply chains, and addresses concerns about business risks including political upheaval, fire and hurricanes. As these examples show, different nations exhibit different cyber risks, according to Lawson.
Those industries include data communications, medical, industrial, automotive and consumer electronics. The 2010 Eyjafjallajökull volcano eruptions in Iceland, for example, caused enormous disruption to air shipments across Western Europe. The planners could choose to switch cargo from a slow-moving ship to air, for example.
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.
This example generates a huge amount of data that can leverage in the supply chain. But, the same data can have a drastic impact on transportations planners and agencies around the globe. For example, additive manufacturing might involve the use of 3D printers to create replacement parts at the store for consumers.
To know the most difficult challenges as perceived by supply chain professionals, we turn to the SCM World’s 2017 Future of Supply Chain survey. Here are the complete data representing how many supply chain management professionals perceived these threats as significant. The same could be said about natural disasters.
The implementation also involves leveraging weather data to improve forecasting. In 2017, Pinnacle Propane was acquired by a Dutch company, SHV Energy. For example, a warehouse might have a big propane tank they use with forklifts that run on propane. This data leads to a better baseline forecast. This is also rare.
Last year the National Association of Foreign-Trade Zones (NAFTZ) asked CBP to delay the planned September 16, 2017 transition of the Application for Foreign-Trade Zone Admission and/or Status Designation from the agency’s legacy computer system to the new Automated Commercial Environment (ACE) platform, American Shipper reports.
Some examples of these are: U.S. Most cold chain food regulations come from the FDA’s Food Safety Modernization Act (FSMA) of 2017. Many other countries, refer to ICH guidelines gathering data on a product’s safety and efficacy to establish a cold chain strategy. Food and Drug Administration (FDA). In the U.S.,
According to Supply Chain Dive , “The number of supply chain professionals who say they’re currently using predictive analytics at their company has grown 76% from 2017 to 2019, according to a Supply Chain Dive analysis of the annual MHI Industry Report.” Leverage IoT-enabled sensors to collect more data.
Furthermore, the speed of operation of robots will increase more than 30 percent by the end of 2017. Clearly, robotics will become more important in 2017 than during any previous year. Better procurement practices translate into better overall sales, but the role of procurement in driving sales’ statistics will change throughout 2017.
For example, coffee, cocoa beans, and olives have all recently faced drought conditions, resulting in a lower output of their respective products. Another Category 4, Hurricane Harvey , struck Texas in 2017. These are just a few examples of the impact severe weather has had on supply chains in recent years. and parts of Canada.
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.
You see, the set of primary data needed to keep an airliner aloft is (apparently) relatively simple—and the same is true of running a supply chain organisation. These key metrics become your organisation’s “multi-function display” and give you the primary data needed to monitor and manage “normal flight conditions.”
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