{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"Why the Most Confident AI Hotel Pricing Recommendations Are the Least Trustworthy","description":" Kartik Yellepeddi, Chief Product Officer at Duetto, says AI in pricing is stuck at level one: algorithms that recommend prices. That's the problem. Building three levels is the solution.  \ud83c\udfaf Foundation (pricing and forecasting algorithms), layer two (explaining why the AI decided what it decided), and layer three (performance engineering that guides humans across sales, marketing, and distribution).  \u26a0\ufe0f The most confident algorithms are often the least trustworthy. AI has to earn trust by explaining itself, showing its confidence level, and flagging where it's struggling \u2014 so humans know exactly where to jump in.  \ud83d\udcad Revenue managers are excellent at judgment. They don't need another dashboard. They need conversational AI that works like the computer in Star Trek \u2014 natural, explanatory, collaborative.  \ud83d\udcb0 Hotels optimize one lever: price. Yellepeddi is pushing for decision-rich systems (#NoVacancyNews) that optimize restrictions, group prices, ancillaries, labor spend \u2014 the entire commercial ecosystem at once.  From HITEC. Visit duetto.app.  Want the weekly roundup of news, videos, and what you might've missed from #NoVacancyNews? Text HOTEL to 66866. ","author_name":"No Vacancy Live and No Vacancy News","author_url":"http:\/\/novacancy.libsyn.com\/podcast","html":"<iframe title=\"Libsyn Player\" style=\"border: none\" src=\"\/\/html5-player.libsyn.com\/embed\/episode\/id\/41814185\/height\/90\/theme\/custom\/thumbnail\/yes\/direction\/forward\/render-playlist\/no\/custom-color\/88AA3C\/\" height=\"90\" width=\"600\" scrolling=\"no\"  allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen><\/iframe>","thumbnail_url":"https:\/\/assets.libsyn.com\/secure\/item\/41814185"}