Deliver Better Outcomes with Data-Driven Predictive Maintenance

We’ve all waited for deliveries that don’t come when expected. And while there may be a host of reasons for the delay, often the cause is something as simple as mechanical failure—for example, the truck broke down. The effects of that disruption ricochet not just for you and your package, but for every other package on the truck and every expectant customer. And the delivery company loses productivity for the truck and driver and incurs the time and expense of offloading the cargo to another truck, repairing the first vehicle, and managing customer satisfaction, or in this case, dissatisfaction. What if all of that could be headed off at the pass?



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