Ansora
An AI support agent that knows your business and asks before it acts.
- Retrieval over approved knowledge only
- Tool calls for live order and shipping data
- Playbooks with approval thresholds
A marketplace for independent Indian makers.
A two-sided marketplace connecting independent makers with buyers: curated storefront, seller tools for listings and orders, split payouts and shipping built in.
Craft businesses sell through DMs and exhibitions. Large marketplaces bury them, charge heavily and don't tell their story. Buyers can't find them or trust them.
Stallhouse gives makers a story-led storefront, handles payments with split payouts and shipping labels, and gives buyers curated discovery with verified sellers.
Real interface states, drawn as working UI — not stock illustrations. Switch between screens.
Curated discovery with maker stories and collections.
Sales, orders to ship, listings and the next payout.
Product detail with maker verification and variants.
KYC, bank verification and listing approval workflow.
Variants, inventory, made-to-order lead times.
Marketplace payments with commission and scheduled payouts.
Rate comparison, labels and tracking via aggregator APIs.
Faceted search, collections and editorial pages.
Verified purchase reviews and seller badges.
Maker applies and completes KYC.
Products listed with photos and story.
Orders arrive with labels ready to print.
Weekly payouts minus commission.
Makers grow beyond their follower count.
A stack chosen for this product's constraints — realtime, offline, compliance or AI — not a default template.
If this were your product, this is the scope we'd propose for a first release that proves value — with everything else in a ranked backlog.
About outcomes. Stallhouse is a concept product, so we don't publish usage or performance numbers for it. When we show client work, it will come with real, verifiable outcomes.
An AI support agent that knows your business and asks before it acts.
Every shipment, vehicle and exception on one live map.
Tell us about your users and the problem. We'll come back with how we'd approach it and what a first version could include.