video1.0<iframe src="https://www.loom.com/embed/eca00ea9947749b3b9fa83e9d8a9b9aa" frameborder="0" width="1340" height="1005" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>10051340Loomhttps://www.loom.com10051340https://cdn.loom.com/sessions/thumbnails/eca00ea9947749b3b9fa83e9d8a9b9aa-e874e749962b05a7.gif304.215This Loom provides a brief overview of Quotron’s end-to-end quoting workflow from RFQ to quote generation in minutes. Chris demonstrates extracting key information from a live RFQ using an LLM model, with upload typically taking 30 seconds to a minute, then generating a quote PDF. The quote page shows customer selection with feedback on typical accuracy and win rate for quotes of a similar size and margin, and allows edits to what the extraction engine missed. The platform also calculates estimated margin using billing and cost data, and includes a customer site with lifetime quoting and win history plus settings for shop-specific items like logo, work centers, pricing rules, and team assignment.