How Vnomics built and deployed a digital twin in commercial trucking that led to $160M (and counting) in verified operational fuel savings

Lloyd Palum explores the importance of identifying the target business value in an IIoT applicationa prerequisite to justifying a return on technology investmentand explains how to deliver that value using the concept of a digital twin.

Fuel is the number one expense for a trucking company outside of the truck’s driver—fuel costs for commercial trucking in the United States are more than $140B per year. Saving a $1 on fuel goes right to the bottom line in an industry with razor-sharp margins, which can mean the difference between a red and a black income statement. Vnomics’s True Fuel, a machine-learning “digital twin” application, routinely identifies and helps eliminate as much as 10% of fuel waste within a commercial trucking fleet, offering real savings for fleets looking to generate more profit. If you are planning on building and deploying an industrial IoT application, clearly identifying the business outcome you are trying to achieve with the application is a critical first factor to success. Drawing on his experience with True Fuel, Lloyd Palum explores the importance of identifying the target business value in an IIoT application and explains how to deliver that value using the concept of a digital twin.