Success Stories

Avoiding truck rolls by using Big Data to inform process redesign for a major Telecommunications Provider

About the client

A $10B Telecom Major based out of North America


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


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

Impact Delivered:


Reduction of Unproductive Truck Roll


Savings in One Quarter


Revenue Leakage Avoided


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