Everlane achieves 4x AI deflection and 25% agent hours saved with Kustomer
Everlane's previous CX platform lacked scalability, required cumbersome maintenance, and offered no personalization, preventing the brand from delivering the tailored customer experiences it envisioned. Internal escalated workflows such as generating return labels required coordination across multiple disconnected platforms with no accountability.
The prior platform (Intercom) was cumbersome to maintain and blocked personalization at scale. For escalated internal workflows, Everlane relied on Slack and multiple platforms with no accountability trail.
Everlane achieved a 4x increase in live service deflection with AI and saved 25% in agent hours.
The Tasks feature delivered 25% in time savings by eliminating unnecessary steps, enabling the team to scale during peak seasons with improved accountability and agent productivity.
Frequently asked questions
What did this team achieve with this AI workflow?
Everlane achieved a 4x increase in live service deflection with AI and saved 25% in agent hours.
What tools did this team use?
Kustomer, Kustomer Timeline, Knowledge Base, Tasks, AI Agents, OMS, Looker, Aircall, Delighted, Retail POS.
What results were reported?
Agent hours saved: 25%; increase in deflections using AI: 4x; time savings via Tasks feature: 25% (source-reported, not independently verified).
What failed first in this deployment?
The prior platform (Intercom) was cumbersome to maintain and blocked personalization at scale.
How is this customer support AI workflow structured?
Customer contacts via chat or email → AI deflects simple inquiries → Knowledge Base self-service → Agent uses holistic Timeline view → Tasks routes escalated workflows.