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CONA is a strategic partner that provides its bottlers with a common set of processes, data standards, and technology platforms. While they are separate and independently-owned organizations, they agreed with The Coca-Cola Company to come on to a common data platform with common data standards. Specific products?
For example, an analysis carried out by AIR on the potential impact of Hurricane Harvey on regional manufacturing found that, based on percentage of the total potential revenue loss, the top three subsectors are petroleum and coal products manufacturing (37%), chemical manufacturing (13%), and oil and gas extraction (12%).
At the onset of 2016, we identified key trends to watch for in manufacturing, and as the year draws to a close, it’s time for an evaluation of our predictions to discover the state of manufacturing. Since e-commerce can be best analyzed by reviewing Cyber Monday 2016, consider the record-breaking sales achieved.
10 Controversial Freight Predictions For 2016. There’s been several great predictions for logistics in 2016. Well, that’s China’s 2016 prediction. Data savvy shippers are collaborating with other shippers to reduce spend, crunching big data to benchmark freight rates to make the right freight decisions.
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?
The shipping industry of 2016 is a gross misrepresentation of what was considered “normal” shipping practices in the 1980s or 1990s. Automatic identification and data capture ( AIDC ) technology will become more prevalent as RFID sensors and Bluetooth technologies are implemented throughout the logistics industry.
In this first post of a two-part series, we will expand beyond our 6 general manufacturing trends we predicted would shape 2016 to now laser focus on the manufacturing technology trends that will impact manufacturers in 2016. 4 Core Manufacturing Technology Trends for 2016. This goes back to using predictive analytics.
As noted by Joseph Evangelist of Fleet Owner, asset utilization among carriers sat at an average of 50% in 2016. As a few examples, these are four critical KPIs to focus on: Owner-operator to driver ratio – A lower ratio here means more opportunities for in-house drivers who bring more affordable rates. . Download the White Paper.
Yesterday we began our two part series on 2016 supply chain trends that will drive supply chain management into the future. If you missed the first post, we encourage you to give it a read by visiting the first seven 2016 supply chain trends post here. . Supply Chain Trends 2016: 5 Additional More Areas of Focus.
2016 will be a defining year for the logistics industry , and transportation management practices must adapt to these changes. For example, a given trucker who drives beyond the hours of service in the ELD could incur stiff penalties and fines from oversight agencies. Outsourcing of Freight Data and Payment Management.
Rather than trying to figure out what is and is not causing problems, you need to know a few basic facts about how the truck driver shortage will evolve in 2016. From May 2014 to January 2016, many trucking companies increased their wages. Turnover Rates Are at an All-Time High.
Take a look at some of the top trends to expect in 2016 for the logistics industry and how they will inherently relate to the merger and acquisition trends. For example, augmented reality-enabled glasses are currently being used by Volkswagen, explains Ludger Schuh. Truly, the possibilities may be endless in logistics application.
But dedicated managers have found a solution to help improve this part of delivery: data. Data is generated in all parts of last-mile delivery, and analysis of this information can help companies become proactive rather than reactive with their delivery methods. Benefits of Data for Last-Mile Delivery.
10 Controversial Freight Predictions For 2016. There’s been several great predictions for logistics in 2016. Well, that’s China’s 2016 prediction. Data savvy shippers are collaborating with other shippers to reduce spend, crunching big data to benchmark freight rates to make the right freight decisions.
Five Key Takeaways From TPM 2016. Transpacific Shipping in 2016. CEVA gave as example, that the traditional Chinese New Year gift cards have gone online. It should – this is a perfect example of the Prisoner’s Dilemma. The post Five Key Takeaways From JOC’s TPM 2016 appeared first on Freightos.
It has become a term applied to applications that can perform tasks a human could do, like analyzing data or replying to customers online. Machine Learning is just that – a machine or program that can learn from data. In the 2000s, big data came into play, giving AI access to massive amounts of data from various sources.
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.
What happened in 2016. 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. ” Market Efficiency.
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?
Our 2016 Manufacturing Report revealed an industry in the state of change, preparing for the next revolution. With claims of hacking the election still permeating the internet, manufacturers are looking upon 2016’s cyber security improvements with even greater scrutiny. Manufacturing is changing.
Through the use of connected devices and greater abilities to capture data in real time, the concept of end-to-end visibility and improvement thru the use of supply chain analytics has changed. However, the Internet of Things and big data supply chain analytics are allowing manufacturers to monitor performance in near real-time.
For Maersk, June of 2016 was the breaking point. After a rough 2015, the first half of 2016 was no different. The Post-2016 Strategy: End-to-end Shipping. The September 2016 decision mapped out a clear new direction. A Maersk ocean liner generates some 2 GB a of data per day. The Maersk Shift: Where it started.
In 2016, it became the first street-legal vehicle to be paid to do real work without a driver behind the wheel. Descartes points out that for all but the simplest route planning problems, creating the best plan is not as simple as loading data and hitting the “optimize” button. Big Data, Artificial Intelligence & Machine Learning.
2016 marched onward with a drive to improve the use of digital technology throughout the supply chain. This infographic, created by GT Nexus , also shows other ways the digital supply chain evolved in 2016. For example, an optimized supply chain is good, but it opens more opportunities for errors. Supply Chains Went Digital.
In 2017, the top three risks for supply chain management were categorized into three groups: War, terrorism and other geopolitical issues Natural disasters affecting supplier facilities Data security/IT incidents. Here are the complete data representing how many supply chain management professionals perceived these threats as significant.
Similarly, we know fleets must have access to the latest mapping data in the back office for operations and in the vehicle for driver guidance, to ensure accuracy and an easy navigating experience. For example, we have recently provided Celtic Vacuum Limited (celvac) with our complete end-to-end workforce solution that incorporates this.
Descartes’s acquisition of Datamyne in 2016 marked their initial foray into providing a broader trade solution set; a solution said that continued to help clients with trade compliance but also included more strategic trade analysis data. Perhaps the best example of this is Exxon Mobil.
Nearly every new piece of equipment or technology is inherently imbued with data capture and processing capabilities. For example, a company’s enterprise resource planning (ERP) systems should be accessible from anywhere within the manufacturing enterprise. Big Data Accessibility Will Drive Innovation and Change.
The data analyzed within today’s freight market goes back to the beginning of digital transformation. In regard to the freight situation between 2008 and 2016, Trucking info.com noted how rates evolved from “since the bottom of that recession, contract prices have averaged a 1% quarter-over-quarter growth (annualized). Consider this.
For example, 26% of the 730 million TEUs shipped annually and approximately 30% of trucks on the road are empty. In an era that has embraced data technology for improving everything from entertainment to finance, freight is still manual. The Freightos Marketplace launched in closed beta in January 2016. Sources: A , B.
For example, you probably heard about how a machine learning algorithm allowed the machine to beat the best humans in Go or in Poker in the past year. In 2016, big tech companies bought nearly 40 AI startups. What are concrete examples of machine learning intervention in S&OP? Take IBM’s Watson for example.
From artificial intelligence to refocusing on procurement, the state of supply chain continued to explode throughout 2016, and you need to understand why. The State of Supply Chain 2016 Trends. A 2016 Accenture survey, reports RF Gen , explained how more companies are taking advantage of AI benefits through linked supply chains.
Although it’s difficult to get Canada-specific data, Ware shared these interesting stats about the Canadian transportation market: $45-$55 billion in transportation spend (2015 data). In 2016, the transportation industry grew by 3.1 In 2016, the transportation industry grew by 3.1 and Canada exceeded $380 billion.
The Top 6 Trends in Logistics Impacting Shippers in 2016. Today, the tech devices that entered the market in early 2016 are obsolescent, and more companies are looking for real-time data-driven decision making opportunities through the Internet of Things (IoT). Globalization Will Become More Important in Everyday Decisions.
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.
The theory is that as more and more devices throughout the supply chain and manufacturing process become part of the ‘Internet of Things,’ they will produce an incredibly rich data stream that will send signals in real-time to trigger a wide variety of events. Artificial Intelligence (AI)/Machine Learning (ML) Platforms.
Unfortunately, slight contractions in the global economy in 2015 and 2016, reflecting the unrest seen in China and Germany, resulted in the scale back of purchasing by consumers. Between 2015 and 2016, freight shipping rates declined significantly, and dry van rates dropped up to 15 percent. Shipping LTL Rates Will Improve.
“Results from the 2017 study show that roughly 75% of respondents are using the mix strategy (be all things to all people) as the predominant approach for their companies compared to the 51% who we reported utilizing a mix strategy in our 2016 results. Improving Data Shows the Real Strength of Trucking. in 2017 versus 20.8%
Notable examples include K+N’s partnership with a tech accelerator, DB Schenker’s exclusive agreement with uShip, and here at Freightos, automating freight rate management for several enterprise forwarders. Both focus on relentless optimization of pricing and routing with powerful, big data technology. The WebCargoNet Team.
Much of that growth has been fueled by acquisitions, including four acquisitions in 2016, with more certainly to come this year. The R&D team delivered about 350 product releases in 2016. The limiting factor is still getting timely and accurate data.
In fact, the introduction of Qualcomm’s OmniTracs ™ in 1988 and UPS’ roll-out of the DIAD ( Delivery Information Acquisition Device ) four years later are prime examples of pioneering companies investing in mobile technology as a means to drive efficiencies and create competitive advantage. Dynamic Content.
According to CB Insight research , supply chain technology funding skyrocketed in 2016, reaching over $5 billion dollars, more than 10X 2013 levels, and creating more logistics startups every year. 2: (Freight) Data Is The New Oil. All of our logistics investment focus heavily on data collection and analytics. #3:
After slime-making became an Instagram fad in 2016, Elmer’s Glue sales doubled. Thanks to demand planning innovations, supply chain planners are detecting potential demand spikes before they become global phenomena – even when that data comes from outside sources, like TikTok or Google Trends.
The must-arrive-by-date (MABD) was introduced to the logistics world back in early 2016 when Walmart set a new bar for suppliers. Old fashioned systems (manual data entry): Digital systems are a necessity in the modern world of commerce. The only way to do that is by understanding your company’s data.
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