In complex systems such as airline travel, predicting delays can be daunting. Given the multitude of factors such as maintenance problems, security concerns, or congestion, weather stands out as the major contributing factor to late arrivals of aircraft. According to the Bureau of Transportation Statistics, weather accounted for 33 to 46% of all delay minutes … Continue reading Predicting Flight Delays using TensorFlow and Machine Learning
A finished product is often more complex than its original design, but is almost certainly simpler than the dozens if not hundreds of iterations that make up its transition between initial inspiration through ideation, protyping, testing, development, and user adoption and upgrade. Below is a small sampling of the steps taken to develop the SCTracker.com … Continue reading UX/UI Design Process
This is the excerpt for a placeholder post.
Visit Parcel Magazine to read article.
In the past, the SCTracker team has travelled to 4 continents and successfully tested our mobile app in major metropolitan areas. Can our GPS tracking work in all places? In the context of the interstate highway system – traveling through as well as between the big cities – I set out on a cross country … Continue reading Shipment Tracking – From Coast to Coast
Visit Logistics Insights to read article.
SCTracker is proud to annouce we will be now offering our Supply Chain Radar system. SAN FRANCISCO, California, March 15, 2017 – SCTracker introduced today the first integrated supply chain risk management solution featuring an easy to use fleet and shipment tracking system. Our new Supply Chain Radar view enables logistics managers the ability to … Continue reading SCTracker Unveils First Integrated Supply Chain Risk Management System
