
About the project
Book a saree pre-pleat from your phone and have it back at your door, ready to wear. Pleat runs on its own: every order is matched to the nearest of 40+ pleaters across Chennai and dispatched through the Porter API, with no one in between.
A business that runs on its own.
Every order moves from customer to pleater and back without anyone dispatching it. The app finds the nearest of 40+ pleaters across Chennai, and the Porter API books the rider, both ways.
One grievance officer handles customer queries and pleater payouts. Everything else runs itself.
- 01Customer orders a pleatIn the app, from wherever they are.App
- 02Nearest pleater foundThe system picks the closest of 40+ pleaters to the customer.System
- 03Pickup bookedA Porter rider is booked to take the saree to that pleater.Porter API
- 04Saree pleatedThe pleater pre-pleats it, ready to wear.Pleater
- 05Pleater taps “finished”That one booking triggers the trip back.Pleater
- 06Back at the doorPorter returns the saree to the customer.Porter API
Saree pleating, booked from your phone.
Pleat makes saree pre-pleating a doorstep service. Sign in with your mobile number, place an order, and the saree comes back pleated and ready to wear.
We built it from the ground up as our own product: the customer app, operations, order processing and delivery logistics.


Measured to fit, before pickup.
Each order captures what the pleater needs: photos of the saree, hip size, the number of pleats, body height and any notes.
The pickup address is set on a map, and the price is shown before you continue.
Ready to wear, straight from the fold.
The saree comes back pre-pleated and folded, so it drapes in minutes instead of a struggle in front of the mirror.



Booked from the sofa.
Open the app, book a pleat and get on with the day. Today's deals, live order status and sample work sit on the home screen, with Book Now a tap away.
The saree comes back to the same door, ready for the occasion.

How we optimised it.
- 01
One platform from the ground up: customer apps, operations, orders and delivery.
- 02
Orders dispatch themselves: the system matches each one to the nearest of 40+ pleaters and books Porter riders through its API, both ways.
- 03
One grievance officer handles queries and payouts. No one else is needed to run day-to-day operations.
- 04
Payment and monetisation workflows on a backend built to scale.
8,000+ users, 1,900+ orders and more than ₹11 lakh in revenue.
Every layer, one team.
We created the product from concept through deployment and served as CTO, overseeing product architecture, engineering, integrations, and scaling.
- UI/UXUser experience and interface design
- ProductConcept to launch, as CTO
- MobileCustomer app
- WebManagement platform
- BackendOrders and payments
- LogisticsPorter API auto-dispatch
- MatchingNearest of 40+ pleaters
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