{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/978e4d64c11b405aa85c8d72aca8b6a1\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/978e4d64c11b405aa85c8d72aca8b6a1-322fa883a2e61d0e.gif","duration":254.146,"title":"Streamlining Trade Show Engagement with AI-Driven Insights","description":"In this video, I quickly walk you through the trade show scanner workflow I built to identify potential exhibitors for business development. I use a scraper to fetch the exhibitor list from the trade show's website, process the data, and input it into an AI agent that scores each company based on their likelihood to engage with me. This setup allows me to prioritize my outreach efficiently, focusing on the top 5 or 10 exhibitors. I encourage anyone interested in this process to reach out for help in setting it up, as I believe it could be beneficial for others as well. Overall, it's a straightforward and effective approach that took me about half an hour to implement."}