Yummy Transforms Customer Support with Kustomer, Improving First Response Times 80%
Yummy's rapid growth exposed Zendesk's limitations: heavy system requirements slowed agent computers, fragmented interfaces forced agents to navigate multiple screens for basic information, and first response times averaged five minutes or more with resolution times stretching to 12 minutes — all while paying a premium cost that no longer fit a scaling startup.
Zendesk's ticket-based architecture was not suited for Yummy's real-time live-chat operation: heavy system load degraded agent computers, siloed interfaces frustrated staff, and a premium price tag no longer matched the value delivered.
After switching to Kustomer, Yummy improved first response times by 80%, cut average resolution times by 42%, and maintained customer satisfaction above 90%, while reducing the support team by six positions despite increased overall demand.
Show all 7 reported metrics
Frequently asked questions
What did this team achieve with this AI workflow?
After switching to Kustomer, Yummy improved first response times by 80%, cut average resolution times by 42%, and maintained customer satisfaction above 90%, while reducing the support team by six positions despite in…
What tools did this team use?
Kustomer, Zendesk, WhatsApp.
What results were reported?
First response time improvement: 80%; Average resolution time decrease: 42%; Customer satisfaction score: 90+%; Support team headcount reduction: six positions (source-reported, not independently verified).
What failed first in this deployment?
Zendesk's ticket-based architecture was not suited for Yummy's real-time live-chat operation: heavy system load degraded agent computers, siloed interfaces frustrated staff, and a premium price tag no longer matched t…
How is this customer support AI workflow structured?
Customer initiates chat → Unified channel view for agents → Agent handles conversation → Real-time shift metrics feedback.