Jerome's Furniture cuts cost per contact 40% and speed of answer from 32 minutes to under a minute with Kustomer
Jerome's previous ticketing platform was rigid and poorly matched to the surge in SMS and social media interactions that replaced phone calls after the pandemic. Agents had to jump between systems because the POS was not integrated with the platform, slowing down service. Technician productivity data was captured only in handwritten logs with no structured digital reporting.
Jerome's reduced cost per contact by 40% and improved NPS to two times higher than the industry average, cut average speed of answer from 32 minutes to under a minute, and increased average touch per hour from 6-7 to 12-15.
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Frequently asked questions
What did this team achieve with this AI workflow?
Jerome's reduced cost per contact by 40% and improved NPS to two times higher than the industry average, cut average speed of answer from 32 minutes to under a minute, and increased average touch per hour from 6-7 to…
What tools did this team use?
Kustomer.
What results were reported?
Weekly call volume reduction: 75%; conversations shifted to Tasks: over 8,000; Duplicated customer inquiries: 42% to 8%; Average touch per hour: 6-7 per hour to 12-15 per hour (source-reported, not independently verified).
How is this customer support AI workflow structured?
Multichannel customer contact → Unified agent dashboard → Conversations converted to Tasks → Technician job Forms → Operational reporting.