Dam Company Co., Ltd. is a general-merchandise wholesaler run on modam, its AI-powered purchase-order automation platform. From multi-channel order intake to supplier-specific purchase orders — a wholesale workflow with no human hands in between.
Contact UsA tiny team with massive automation.
Dam Company Co., Ltd. is a wholesale distributor aggregating orders from multiple sales channels and issuing purchase orders to suppliers.
Our edge is modam, our in-house purchase-order automation platform. It converts order files of all different formats into standard records and generates purchase orders in each supplier's native format — letting a one-person operation handle enterprise-scale volume.
The entire development process runs on a Claude Code–based agentic workflow, from planning and testing to deployment — built with AI, not just by it.
A seamless wholesale pipeline, from intake to purchase order.
Automatically collects order files from 7 sales channels and 10 file sources, normalizing them into standard records — including format detection and decryption of protected files.
Generates purchase orders in each of our 19 suppliers' native formats. Golden-sample regression tests guarantee the documents never break when formats change.
Daily reconciliation compares system-parsed lines against manually prepared purchase orders, recording verdicts on every diff. Humans review only what needs judgment.
Running in production — the order-matching workbench.
Order-matching workbench — 98.4% auto-match rate. The live operations screen leaves only judgment calls to humans.
Supplier purchase orders — generated in each supplier's native format, previewed before sending
modam runs as a 13-stage pipeline: file intake → format detection → decryption → channel identification → normalization → validation → loading → supplier assignment → PO rendering → reconciliation.
Every feature is designed as a SPEC document first, implemented by orchestrated agents, and merged only after passing typecheck, lint, unit, integration, and E2E gates.