An ethnic-wear store with AI try-on, now gaining catalogue automation and an AI Image Studio

Client: A direct-to-consumer ethnic-wear (saree) e-commerce brand in India.

The challenge

Listing each product took too long, with manual codes, pricing and category placement.

Lifestyle photography for every new saree was slow and costly.

The supplying vendor needed visibility of its own sales, returns and payouts without access to anything else.

Built and maintain the live storefront, admin panel, checkout, Google sign-in and AI virtual try-on.
Enhancement phase: automatic product codes and order IDs, a pricing engine, 13 filters and a rule-based category engine.
AI Image Studio: staff upload real product photos and generate on-model images, with a person approving every image.
A view-only vendor sub-admin panel with an append-only payout ledger, plus courier tracking sync.

Faster product listing, with codes, prices and category placement handled automatically.
On-model product imagery for every new saree, without a photoshoot each time.
Full vendor transparency on sales, returns and payouts, built on the existing live store.

Technology & capabilities

Relevant forD2C fashion and lifestyle brands that want faster listing, AI product imagery and vendor transparency.

Delivered by Robral Technologies. Client identity is withheld; details are shared at a level that protects the client's confidentiality.

Tell us about your system. The usual first step is a 14-day proof of concept on one real slice.