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3rodents | 4 days ago
Another challenge is travel, e.g: scheduling an event in Europe for a distributed team of U.S. people during bad weather leads to people stranded at airports, missing the event.
I think this is a great idea, but I am surprised to learn that organizers are spending most of their time communicating with hundreds of venues. Once you have a location and budget, finding a venue is straightforward.
vincentalbouy|4 days ago
The algorithm is quite smart about that because it has legacy data from ~1500 events. IT has been shown a lot of example of" When a team is located there, they have VISA issues --> they should actually go there because it worked in the past for XYZ client"
For example the algorithm will know that Dominican Republic is usually VISA frienly and can send larger groups there etc.
For the second part: Finding a venue with the requirements is hard, our clients really have a pain point, but what it is even harder tis to agree on terms, prices, food, meeting space, transportation coordination etc, it is a logistical nigthhmare