Case Study: Fortune 300 Car Dealership Group boosts QA output and cuts evaluation time with Observe.AI

Fortune 300 Car Dealership Group Grows QA Team Output by 7% While Reducing Time Spent by 75%

Fortune 300 Car Dealership Group, an international automotive retailer, needed a faster way to handle call quality assurance after an unexpected workforce reduction left its QA team with fewer analysts and more calls to review. Prior to using Observe.AI, the team relied on manual spreadsheets, repeated call listening, and email-based sharing, making each evaluation slow and tedious while risking inconsistency in CX quality.

Using Observe.AI’s Conversation Intelligence AI platform, the company streamlined call selection, scoring, coaching, and feedback delivery in a single workflow with transcripts, scorecards, and “Moments” for deeper analysis. The results included a 75% reduction in evaluation time, a 7.6% increase in evaluations completed within 30 days, 100% of voice calls monitored, and zero dispute requests in the first month after going live with Observe.AI.