About the client

A $10B Telecom Major based out of North America

Problems:

The customer was leaking revenue as around 20%-25% of their truck rolls were ending up being “unproductive.” This had also resulted in the loss of customer base and diminished brand image

Solution:

Innover helped the customer by institutionalizing an end-to-end automated unproductive truck-roll mitigation solution which:

• Identified 16 individual causal factors of truck-roll failure by analyzing 25+ data sources and 100+ candidate variables
• Employed ensemble ML techniques to develop unproductivity risk prediction ‘confluence model’ that captured the combined effect of the causal factors accounting for interaction effects and collinearity
• Auto-generated recommended action for every upcoming truck-roll to mitigate failure risk