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Every order from every chat, in one place.
Small businesses in India take orders over WhatsApp, Instagram DMs and email. There is no order record, no payment tracking and no customer history. It all lives in the seller's head.
OrM connects to the channels sellers already use and turns chat into structured orders. An AI parser drafts the order from the conversation and the seller confirms it, UPI payment links collect the money, customers get a tracking page, and everything sits in one inbox.
Small and micro businesses in India that take orders over chat: home food sellers, boutiques and resellers, wholesalers and distributors.
A TypeScript API with strict separation between businesses, background jobs for channels and AI, and a web dashboard.
A TypeScript monorepo: a Fastify API on PostgreSQL with row-level security so each business's data stays separate, background jobs on Redis and BullMQ, and a Next.js dashboard with a public order-tracking page. Payments are recorded as events, so partial payments, refunds and screenshots reconcile cleanly, and AI only ever drafts an order for the seller to confirm.
Built in phases: the workspace, the database with tenant isolation and sign-in first, then the channel integrations, billing, the unified inbox and the order workflows on top.
The team that built OrM builds for clients too. Tell us what you have in mind.