FILL — AI Cancellation Recovery

FILL — AI Cancellation Recovery for MIRROR 27

I built FILL for MIRROR 27, a boutique salon in Indiranagar, Bengaluru, to solve a simple but expensive problem: last-minute cancellations leave valuable appointment slots empty, and salon owners have to manually chase customers through WhatsApp to fill them.

FILL turns that entire follow-up process into an automated recovery flow.

How it works

A customer cancels an appointment. FILL immediately understands the service, duration, stylist, time slot, and value of the opening. It searches the salon’s existing customer/inquiry pool for people who are likely to take that exact slot. Customers are ranked with an easy-to-understand match score. The owner can review the best match and send an offer. The customer receives a simple mobile experience: “A spot just opened for you ” With one tap, they can claim this appointment. Once accepted, the appointment is automatically confirmed, and the owner’s schedule is updated. If the customer declines or the offer expires, FILL can continue with the next suitable customer.

The key idea

Don’t let cancellations become empty chairs.

Instead of giving salon owners another complicated dashboard or booking system, FILL focuses on the moment where money and time are actually lost — the follow-through after a cancellation.

The owner shouldn't have to search old conversations, remember who wanted a particular service, or send multiple WhatsApp messages.

FILL finds the opportunity, finds the customer, and helps turn the empty slot back into a confirmed appointment.

What I focused on

Simple owner experience Minimal manual work Customer-first mobile booking flow Explainable AI matching Shared Owner ↔ Customer appointment state Cancellation, rescheduling and confirmation flows Clear recovery feedback such as ₹3,200 recovered Premium, approachable salon UI without making the product feel overly technical

Business: MIRROR 27 Location: Indiranagar, Bengaluru Product: FILL Core problem: Empty appointment slots caused by last-minute cancellations Solution: Automatically match and recover those slots with the right customer.