<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/bdd06b23e35f463dbc2490b392dc2f77&quot; frameborder=&quot;0&quot; width=&quot;1668&quot; height=&quot;1251&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1251</height><width>1668</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1251</thumbnail_height><thumbnail_width>1668</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/bdd06b23e35f463dbc2490b392dc2f77-c1759402d4359c31.gif</thumbnail_url><duration>652.559</duration><title>Zip Implementation at Coca-Cola, AI Interviews</title><description>This Loom demonstrates how Zip automates answering procurement process questions using AI interviews during Zip’s implementation at Coca-Cola. The team first updates some answers from a kickoff call transcript and shows evidence for responses, such as Phase 1 covering IT category purchase requests only. For remaining unanswered questions, Zip launches an AI interview that reads the question bank and transcript, creates a short interview in draft, routes questions to the right stakeholders, and sends links. After approval, the interview transcript is indexed and yields additional answers, including one integration requirement update from the interview.</description></oembed>