<?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/804be35d5c3f4a1b9fa0a0c146ecba73&quot; frameborder=&quot;0&quot; width=&quot;2880&quot; height=&quot;2160&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>2160</height><width>2880</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>2160</thumbnail_height><thumbnail_width>2880</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/804be35d5c3f4a1b9fa0a0c146ecba73-25b51b8243a26398.gif</thumbnail_url><duration>171.1</duration><title>Deploying AI Agents for Supplier Data Collection</title><description>This Loom explains how Western Digital deployed an AI agentic workflow for scalable supplier sustainability data collection. Rannani Ayur describes how traditional manual outreach to 100 plus suppliers via emails led to long cycles and low response rates, then shifts to partnering with Slosebox and introducing the agent named Lucy, which guides suppliers through collecting raw data and converting it into ISO standard PCS within the email chain. The approach reduced supplier timeline complexity and delivered results by expanding primary data coverage for 90% of suppliers from 30% and shortening the collection cycle from 5 to 6 months to about 4 weeks. Next, the team plans to improve data robustness and auditability with additional checks, including cross checking submissions against suppliers’ historical CDP disclosures and industry baselines.</description></oembed>