![]() ![]() Improving Customer Experience Through Dataīeyond providing a strong argument for route planning and optimization, UPS is also using data to bring tangible benefits to its customers through the use of apps and online platforms. ORION is a perfect example of a prescriptive analytics tool: it gives drivers a best course of action to execute in real time. ![]() ![]() They rounded off their data survey with prescriptive analytics, which went beyond forecasting to recommending specific action steps.Existing parcel data, for example, helped the company identify potential upcoming swells in delivery demand. They then moved on to predictive analytics, where past data allowed teams to anticipate where they might be in the future.The company tracked package deliveries and truck telematics to assess their existing system flow and maintenance schedules. UPS started their data analysis efforts with descriptive analytics to understand where they were in the moment and where they’d been in the past.Managers looking to improve their analytics can follow UPS’ path through the datasphere: They took a similarly gradual approach when it came to data analysis-a fact that should encourage fleet managers at all stages of data literacy. While the company began developing ORION in 2003, the program wasn’t fully implemented in the U.S. Scaling Up Over Timeįor UPS, the adoption of dispatch technologies didn’t happen overnight. The result of all of this data crunching? The ORION system saves UPS 10 million gallons of gas and 100,000 metric tonnes of greenhouse gas emissions per year. The solutions UPS employ are sometimes unexpected for example, the company purportedly instructs drivers to avoid turning through oncoming traffic to save time and avoid costly accidents. ORION consists of over 250 million unique address points -which are analyzed in concert with customers’ shipping requirements-and a customized set of map data. UPS’ proprietary route-optimization system, called On-Road Integrated Optimization and Navigation (ORION), analyzes collected data to create efficient routes on a daily basis. The resulting insights save UPS an estimated $300 to $400 million annually. UPS gathers an astonishing amount of data related to transport and delivery, including vehicle-related detail such as engine status, fuel consumption, driver behaviour and route choice. The first step to improving operational efficiencies in your fleet-according to the UPS model-is to collect data. But what tools does UPS use to achieve such a degree of success? And what can other managers learn from the UPS model? Dedicated to Data With a workforce of over 191,000 drivers running its varied fleet of trucks, vans, tractors and motorcycles, it goes without saying that effective fleet management is key to the company’s success. On an average day, UPS will deliver 20 million packages to customers all over the globe. Founded in 1907 by two teenagers using bicycles and a $100 loan, UPS has grown to become one of the most successful package delivery companies in the world. United Parcel Service (UPS) is one of the largest delivery services in the world. ![]()
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