Case Study: Peddle achieves $163K in annual savings with Intercom Fin

A Intercom Case Study

Preview of the Peddle Case Study

How Peddle saves $163K a year with Fin

Peddle, a tech-powered U.S. car-buying service, needed a way to keep support efficient as inquiry volume grew across seller, internal agent, and partner workspaces. To avoid adding headcount and maintain quality, Peddle turned to Intercom and its Fin AI Agent as part of the Intercom Suite.

Intercom implemented Fin across Peddle’s busiest support teams, starting with Seller Support and then expanding to Peddler Support, with strong content and QA processes to keep improving performance. The results were significant: a 64.1% reduction in chat volume in Peddler Support, 899.63 hours saved per month, 70% resolution rate, and $163,800 in annual cost avoidance, equivalent to avoiding 2.5 full-time hires.


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Peddle

Jaymee Krauchick

Assistant General Manager


Intercom

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