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Success Story

22% Fewer Truck Rolls and 25% Higher First-Call Resolution: How Targeted AIOps Improved CPE Support

22%

Reduction in Preventable Truck Rolls

25%

Increase in First-Call Resolution

20%

Decrease in Average Handling Time

15% +

Imminent Device Failures Identified Proactively

Key Insights

22% Reduction in Preventable Truck Rolls

Reduced unnecessary dispatches by improving remote diagnosis accuracy in complex support cases.

25% Increase in First-Call Resolution

Improved resolution for issue types that previously required escalation or field visits.

20% Decrease in Average Handling Time

Helped support teams move through advanced troubleshooting scenarios faster.

15%+ Imminent Device Failures Identified Proactively

Enabled preventative action before monitored devices caused broader service disruption.

Overview

A major regional telecom provider was already using standard CPE (Customer Premises Equipment) management tools for configuration and basic monitoring, but complex troubleshooting still required too much guesswork. Support teams struggled to connect device telemetry with network performance, customer history, and in-home conditions, which led to poor first-call resolution, high “no fault found” truck roll rates, and reactive support.


TechWish addressed this challenge with a targeted AIOps solution built around ATLAS, Argus, and Merlin. The solution brought together CPE telemetry, network monitoring data, Wi-Fi insights, and ITSM context to improve diagnostic accuracy, support predictive failure modeling, and guide faster root cause analysis for complex support scenarios.