For non-standard custom furniture makers (bathroom vanities, whole-home cabinetry, doors & windows): requests relayed by chat, sketches on a 24-hour loop, quotes that dig through spec files, order splitting rebuilt by hand, after-sales nobody can explain. DDW turns this chain into flowing data — truth table → 3D confirmation → instant quote → validated cut lists → after-sales attribution.
Most factories already own the tools. What breaks is every manual relay between them. Each re-typing is an error waiting to happen.
Customers pay for documents they can see — not for "AI capability".
Spoken requests auto-structured; missing fields auto-queried (basin type, drainage, height, deadline); craft-spec matching returns "feasible / short of material / redesign".
Rotatable 3D with live dimension labels and material switching, forwarded to the end customer in chat; change one width and every part recalculates.
Panels, tops, hardware, shipping itemized; your pricing rules (e.g. cost × factor) configured in the backend; every line cites the craft spec it came from.
Part lists derived by a parametric dimension chain; assertions must pass or nothing is issued; CSV/Excel your saw imports; AI draft + human sign-off.
Service records auto-classified (communication / material / workmanship), monthly trends, root-cause ranking; results feed back into the intake questions.
WeCom as the entry — zero learning curve; deployable fully on-premise so craft and cost data never leave the plant; every capability is a pluggable module.
A real custom-cabinet project (not a demo): chat request → truth table → dimension chain → offline 3D → six A4 engineering documents.
Leave your contact — half an hour to locate the break, and a minimal pilotable plan. Custom-furniture factories above ~100 orders/month first.
