<?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/7af891243260407bb42da7ce70a56607&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/7af891243260407bb42da7ce70a56607-3ddd088806c8d1e7.gif</thumbnail_url><duration>684.225</duration><title>Smart Pricing Engine for Deal Disputes</title><description>This Loom presents a smart pricing engine MVP to reduce disputes and improve profit for Green Room deals. Ali explains that disputes and losses cluster in deals under $5,000, especially in the $1,000 to $5,000 range where versus deals often resemble flat deals, but still create dissatisfaction. He built a Deal Analysis tab that categorizes deal size, tracks money made or lost, and uses an LLM to summarize dispute context, then used the findings to suggest pricing that turns versus or net terms into flat-like outcomes. For door deals, the engine applies a simple structure based on $500 from prior data, a 60-40 split, and a $150 cap on expenses, with an included simulation showing improved overall results and reduced disputes in total.</description></oembed>