Crew Shortage prediction based on IVR rejection
Our customer, a large railroad company, manages freight transportation across borders and deals with a wide variety of requests and crew requirements using IVR from each train. Their main challenge was dealing with last-minute crew cancellations that caused them to not have enough time to reschedule their trains. This not only led to mismatched expectations from customers, low business productivity, but also penalties incurred for not meeting the Service Level Agreement (SLA).
To reduce train delay inefficiencies and the mitigate the impact from unexpected cancellations, CloudMoyo has devised a solution to help this railroad customer implement an intelligent program that allows them to respond quickly to crew shortages and to better manage their workforce. Read the full case study to understand the customer pain points and how CloudMoyo program was able to address the problem of crew management and deliver business value.
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