Where checkout changed
OpenAI function calling lets models call tools with structured arguments, but commerce flows need different confirmations for lookup, recommendation, cart, payment, and refund actions.
AI shopping tools should not put every action into one universal function; product lookup, variant comparison, cart creation, payment start, and refund requests need separate parameters, logs, and confirmations.
Do not trust one conversion number
The useful question is no longer whether a purchase happened; it is which step created the hesitation, missing fact, or measurement gap.
Check the event model
- Split product lookup, recommendation, cart, checkout, and support into five tools and label which require user approval
- Keep the test narrow: one low-risk task or tool entry before connecting permissions, logs, failure handling, and human takeover to production
What still needs proof
Tool calls without stop conditions can move bad recommendations directly into transactions. Keep the original source open so the announcement, the evidence, and this site's interpretation stay separate.