Fixing LLM hallucinations and order-flow errors for Instagram DM commerce

Fixing LLM hallucinations and order-flow errors for Instagram DM commerce targets a $9.0B = 6M social-commerce merchants x $1.5K ACV. Rationale: millions of SMBs sell via Instagram/Messenger; a grounded automation product can command $1.5K/year by replacing manual CSR labor and reducing lost orders. total addressable market with medium saturation and a year-over-year growth rate of 15-20% social commerce and automation adoption growth.

Key trends driving demand: Social commerce growth -- increasing share of SMB revenue comes from Instagram DMs and Messenger, raising the cost of broken chat automation.; RAG and vector DB adoption -- enables fast grounding of model responses to authoritative catalogs and order state.; Platform APIs and webhooks -- Meta and commerce platforms exposing more developer APIs makes deep integration easier and faster to deploy.; Shift to automation-first support -- brands prefer automated first-touch for volume chats to avoid hiring more CS agents..