Machine learning is shaping the future of supply chain and logistics management, improving accuracy, speed, scale, and more. Here’s how. Highlights: Machine learning refers to an application of artificial intelligence that lets systems learn and improve automatically based on experience. Experts predict that 95% of supply chain planning vendors will rely on supervised and unsupervised
Here are our most-viewed blog posts from 2017 about big data/analytics, including articles about using big data in supply chain/logistics and competitive benchmarking. “Big data” has been a hot-button word in supply chain and logistics circles for several years now. But the concept of using big data to measure performance and improve operations is only
![The 2017 4th of July Supply Chain [Infographic]](https://www.fronetics.com/wp-content/uploads/2017/06/4th-of-july-370x185.jpg)
U.S. Consumers plan to spend a whopping $7.1 billion on cookouts for 4th of July celebrations. The National Retail Federation reports that 219 million Americans plan to celebrate the 241st Independence Day. Two-thirds plan to attend a cookout, barbecue, or picnic, spending an average of $73.42 per household on food items, up from last year’s
Our series by MBA students and graduates at Peter T. Paul College of Business and Economics highlights some of the most pressing issues in supply chain management today. A few years ago, the Wall Street Journal called supply chain management the “hot new MBA.” Many universities have been introducing related degree programs, majors, and concentrations
![The State of Supply Chains: The Supply Chain Has Gone Digital [Infographic]](https://www.fronetics.com/wp-content/uploads/2017/01/virtual-reality-370x185.jpg)
2016 was the year of the digital supply chain — here’s a look at how things changed. This guest post comes to us from Adam Robinson, director of marketing for Cerasis, a top freight logistics company and truckload freight broker. 2016 marched onward with a drive to improve the use of digital technology throughout the supply
Supply chain leaders must be ready to implement big data in order to continuously improve. This guest post comes to us from Adam Robinson, director of marketing for Cerasis, a top freight logistics company and truckload freight broker. Supply chain leaders are enthralled with the idea of using big data, but they tend to fail to
For better email marketing results, be sure to tap your big data
These industry leaders are leveraging insights from big data to solve business problems and drive profitable customer action. Big data is more than just a buzzword: It’s helping companies make big-impact business decisions based on customer behaviors, purchasing patterns, and preferences. Not all organizations have the resources to invest in big data. But for those
While the temptation to invest in big data may be strong, small and mid-sized companies might be better off starting with small, more manageable analytics. Big data has become a big business. A 2016 Forrester report forecasts that the big-data management business will grow by 12.8% by 2021. It’s easy to see why, with the
Fronetics Strategic Advisors is a leading management consulting firm. We advise and work with companies on their most critical issues and opportunities: strategy, marketing, organization, talent acquisition, performance management, and M&A support. We’ve gathered our most-read big data articles of 2015: Big Data and Supply Chain Management With current technologies, there are increasing amounts of information
Let the spending bonanza begin. comScore projects that the 2015 total online retail spending for the November–December period will reach $70.1 billion, representing a 14-percent gain versus year ago. The flurry of holiday orders raises the stakes for retailers. Several studies show customers are, rightly so, a demanding bunch. They have no tolerance for out-of-stock
Why airing metrics out in the open could be the next big content marketing trend. We’ve talked a lot about data in the last few years. Companies have been grappling with the sheer number of numbers available to analyze, and they’ve struggled to decipher which offer actionable business intelligence. Still, they plan to pour more
