Channel Optimization with Big Data

Continuing the theme of our last post, this article on ZDNet discusses the way UPS uses big data to solve business problems.  In their case, the goal is to optimize various business processes.  For instance, one application uses telematics and proprietary algorithms to create optimized routes for drivers.  Those routes will continue to be dynamically updated and optimized during the day based on outstanding work and other variables.  UPS expects this efficiency gains to result in a reduction of 100 million delivery miles and a reduction of 100,000 metric tons of carbon emissions.