{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/eca00ea9947749b3b9fa83e9d8a9b9aa\" frameborder=\"0\" width=\"1340\" height=\"1005\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1005,"width":1340,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1005,"thumbnail_width":1340,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/eca00ea9947749b3b9fa83e9d8a9b9aa-e874e749962b05a7.gif","duration":304.215,"title":"From RFQ to Quote in Minutes","description":"This 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."}