CUSTOMER STORIES
From One Overwhelmed Agent to an Organized Team: Glowskin's Story
See how Glowskin, a three-branch beauty clinic in Surabaya, automated 70% of initial interactions and cut first response time to under one minute with Orqestra.
Glowskin is a beauty clinic with three branches in Surabaya. Almost every reservation and initial consultation came through WhatsApp. For more than two years, one person managed that number: Rini, a versatile employee who also worked as the receptionist.
Before Orqestra
Rini faced a situation familiar to service businesses that grow organically: WhatsApp never stopped ringing, the same questions returned all day, and there was no way to separate customers who needed immediate attention from those simply asking about prices.
The biggest problem was not just volume. It was unpredictability. When Rini was at the front desk helping a patient, WhatsApp messages piled up. On quieter days, she still spent her time typing the same answers to different people.
"One day, I counted how many times I answered 'How much is treatment X?' in a single hour. It was 11," Rini said. "The wording changed, but every question meant the same thing."
Glowskin's management team also had no visibility. They could not tell how many prospective patients waited too long for a response and eventually chose another clinic.
The Migration
Glowskin began by connecting its existing WhatsApp number to Orqestra in a single onboarding session. The clinic kept its number and could import its previous conversation history.
The team then added two admins to support Rini, with each person responsible for a specific branch. Keyword-based assignment rules routed messages automatically. A message mentioning the Rungkut branch, for example, went directly to the agent responsible for that location.
During the first week, Glowskin created flows for:
- Welcome and menu guidance — New customers choose between Reservations, Pricing, and Treatment Information
- Pricing FAQs — Treatment prices are sent automatically without involving an agent
- Reservations — The bot collects the customer's name, preferred branch, date, and treatment, then summarizes the request for confirmation. A complete request goes to an agent for final confirmation and entry into the clinic's system
What Changed
Two months after implementation, Glowskin had clear results.
About 70% of initial interactions were handled automatically, including nearly every pricing and treatment-information question. Rini and her two colleagues could focus on conversations that needed a personal response: reservation confirmation, questions about a customer's skin condition, and post-treatment follow-up.
Average first response time fell from several hours during busy periods to consistently under one minute because the flow replied as soon as a message arrived.
Management gained something just as valuable: usable data. The team could see daily conversation volume, monitor each agent's performance, identify the busiest hours of the week, and adjust schedules accordingly.
The Lesson
Glowskin's experience reflects a common pattern across service businesses, from dental clinics and salons to cleaning services and consultancies. As message volume grows, the WhatsApp workload becomes too much for one person. Employees feel the pressure, and customer service suffers.
The answer is not always to hire another person. Often, the business first needs structure: a system that separates questions automation can answer from those that need a person, then distributes the remaining work fairly across the team.
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