GK Studio’s Founder Kamal Gulati on Building a Smart Booking Engine for the Beauty Industry
In an industry traditionally driven by manual WhatsApp chats and inconsistent communication, GK Studio has taken an unconventional step — integrating a structured AI-powered booking system into its salon operations.
Is this India’s first AI-driven women-only salon chain? Founder Kamal Gulati believes it could very well be among the early movers redefining how beauty businesses operate at scale.
Q: AI in salons is rare. What pushed you to introduce it?
Kamal: As we expanded to multiple outlets in Gurgaon and Delhi NCR, we began handling hundreds of customer queries daily — pricing, services, branch selection, bookings.
Initially, everything was manual. But manual handling creates variability — delayed responses during peak hours, inconsistent explanations, and unnecessary back-and-forth.
I realised we needed structure. Not just more manpower.
That’s when the idea of building a salon-specific AI booking engine came in.
Q: Many businesses use chatbots. What makes your system different?
Kamal: Most chatbots are generic. They don’t understand operational complexity like length-based pricing, branch-level routing, or service workflows.
At GK Studio, pricing transparency is core to our brand. So the AI had to communicate clearly and accurately — especially for chemical services like smoothening, keratin, and botox.
Instead of a simple auto-reply bot, we built structured workflows for each service category and branch.
It’s not just a chatbot. It’s a trained booking assistant.
Q: Did you build this internally?
Kamal: Yes. I personally invested more than a month refining and training the system.
It wasn’t easy. There were days when I genuinely felt like quitting. Integrations failed. Triggers didn’t work properly. Conversations needed retraining again and again.
But I kept going because I knew that if we built this correctly, it would become a long-term operational advantage.
Q: What does the AI handle today?
Kamal: Today, the AI:
• Understands customer intent
• Shares accurate service pricing
• Routes customers to the correct branch
• Triggers predefined service workflows
• Qualifies leads before human intervention
• Transfers to CRM when required
It handles repetitive queries instantly and consistently.
However, human agents continuously monitor all chats. Final booking confirmations and sensitive cases are always overseen by our team.
It’s AI plus human supervision — not AI replacing people.
Q: What impact has this had on the business?
Kamal: The biggest impact is consistency and speed.
Customers now receive instant replies — professional, structured, and clear. There are no mood swings, no rushed responses, and no incomplete information.
Internally, our CRM team now focuses on high-value tasks instead of answering repetitive pricing questions.
It has improved clarity across all branches and made scaling conversations much smoother.
Q: How have customers reacted to AI communication?
Kamal: Very positively.
Customers appreciate instant replies. They don’t have to wait for someone to become available.
Interestingly, many prefer the structured clarity. AI responses are neutral, professional, and precise.
In a salon industry where customers often hesitate due to unclear billing, clarity builds trust — and trust builds bookings.
Q: Do you believe AI will become standard in the beauty industry?
Kamal: Eventually, yes.
Most salons still rely heavily on manual chat handling. As businesses scale, that model creates chaos.
We believe structured communication is the future. If we are among the first women-only salon chains in India to implement a monitored AI booking system at scale, we’re proud of that.
Technology, when aligned with discipline and process, becomes a competitive advantage.
Q: What’s next?
Kamal: We continue refining the system based on real customer conversations.
Our goal isn’t to appear tech-savvy. It’s to remove friction from customer communication and build scalable systems for growth.
If traditional service industries can adopt structured AI responsibly, they can scale without losing quality.
