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Revenue Marketing with Cloudbeds: Smarter Pricing, Better Promotions

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Manage episode 475628236 series 3222070
Inhalt bereitgestellt von dojo.live. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von dojo.live oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

How can Causal AI help hotels optimize pricing and promotions?

Nikhil Shah

Head of Data Science / LinkedIn

Nikhil is a mathematician, AI researcher, and entrepreneur who heads Data Science at Cloudbeds. He studied Mathematics at Cambridge and Computational Optimization for his doctorate at Imperial College, spinning out Hotel Cloud (hospitality tech for revenue management) and S-Cube (energy tech for optimizing high-stakes drilling decisions). He has numerous published papers and two granted U.S. patents through the successful commercialization of his algorithms.

Josh Graham

Head of Market Development / LinkedIn

After 10 years in hotel operations at branded and independent hotels in Washington, D.C., Josh transitioned to technology at TravelClick. Over 13 years, he held a number of senior sales, marketing, and go-to-market roles, working with CRS, Business Intelligence, and e-commerce/digital marketing. In his final role, he served as Regional VP for their guest management/CRM product.

Following TravelClick’s acquisition by Amadeus in 2018, Josh joined Revenue Analytics in 2020 to help launch their RMS solution, N2Pricing. After roles at Salesforce in their Travel and Hospitality unit and FLYR for Hospitality, Josh found his home at Cloudbeds. As Head of Market Development for North America, he drives market awareness and introduces Cloudbeds to new hotelier segments.

  continue reading

424 Episoden

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Manage episode 475628236 series 3222070
Inhalt bereitgestellt von dojo.live. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von dojo.live oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

How can Causal AI help hotels optimize pricing and promotions?

Nikhil Shah

Head of Data Science / LinkedIn

Nikhil is a mathematician, AI researcher, and entrepreneur who heads Data Science at Cloudbeds. He studied Mathematics at Cambridge and Computational Optimization for his doctorate at Imperial College, spinning out Hotel Cloud (hospitality tech for revenue management) and S-Cube (energy tech for optimizing high-stakes drilling decisions). He has numerous published papers and two granted U.S. patents through the successful commercialization of his algorithms.

Josh Graham

Head of Market Development / LinkedIn

After 10 years in hotel operations at branded and independent hotels in Washington, D.C., Josh transitioned to technology at TravelClick. Over 13 years, he held a number of senior sales, marketing, and go-to-market roles, working with CRS, Business Intelligence, and e-commerce/digital marketing. In his final role, he served as Regional VP for their guest management/CRM product.

Following TravelClick’s acquisition by Amadeus in 2018, Josh joined Revenue Analytics in 2020 to help launch their RMS solution, N2Pricing. After roles at Salesforce in their Travel and Hospitality unit and FLYR for Hospitality, Josh found his home at Cloudbeds. As Head of Market Development for North America, he drives market awareness and introduces Cloudbeds to new hotelier segments.

  continue reading

424 Episoden

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