Case study · Auto detailing
An eight-location auto detailer recovered $68,000 a year
Missed calls and one-time customers were leaving bays idle across eight locations.
An idle detailing bay is pure lost margin, and across eight locations the small leaks add up fast. Calls were going unanswered, and customers who came in once were not coming back.
We built agents to catch the missed calls and to bring repeat customers back on a schedule.
The numbers, over the first year
- Missed call recovery: $34,560 recovered
- SaaS stack reduction: $15,600
- Labor saved: $10,000
- Repeat booking automation: $8,000 recovered
$68,000 in year one on a $10,000 build, about $194,000 over three years.
Auto detailing, eight locations. $68,000 first-year saving. $10,000 build.
Where this fits
The same kind of agent runs behind regulated builds like our CDMO and clinical CRO work. An AI Audit finds your first one.
15 min. 5-day written diagnosis. No deck.