customer_support · saas · workflow
Cents builds 24/7 AI voice receptionist 'Assist' on Retell AI for 4,000+ laundromat operators
Laundromat operators receive constant customer calls around the clock but cannot afford full-time front-desk staff to answer them, leaving questions unanswered and orders lost to competitors who pick up the phone.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Customer calls laundromat
Customers call around the clock asking if the store is open, where it is located, or whether pick-up service is available.
Tools used
Retell AILLMs
Outcome
Assist became one of the most popular features in Cents' product suite, giving operators breathing room and acting as a strong growth engine through significantly improved conversions after trade show and demo campaigns.
What failed first
Cents attempted to build an in-house voice solution by combining LLMs, speech models, and telephony logic, but found the complexity, latency challenges, and maintainability prohibitive and abandoned the effort.
Results
Time savedfour weeks
Volumemore than 75 percent
Running since2024
Grounding & classification
Source type: vendor customer story
24 fields verified against source quotes.
ai receptionistconversational aivoice aifailure mode describedmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedsoftwarecost reductionemployee productivityvendor customer storycall center aicustomer supportautonomous resolutionvoice call handling