Episode

Pricing strategy, revenue teams, and where AI actually helps

Podcast
The Future of Hospitality
Published
Jun 29, 2026
Duration seconds
5273
Processing state
not_requested
Canonical source
https://podcasters.spotify.com/pod/show/alon-shkuri/episodes/Pricing-strategy--revenue-teams--and-where-AI-actually-helps-e3ldnmq
Audio
https://anchor.fm/s/10480bf24/podcast/play/122133658/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-5-29%2F427017797-44100-2-11fabd82ba3f2.mp3
JSON
/v1/public/podcasts/the-future-of-hospitality-7482768/episodes/pricing-strategy-revenue-teams-and-where-ai-actually-helps
Markdown
/podcast/the-future-of-hospitality-7482768/pricing-strategy-revenue-teams-and-where-ai-actually-helps.md

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Summary

AI does not fix a bad pricing strategy, it just runs it faster. Roz Hunter and Charles Pinard, pricing and revenue-management consultants at Simon-Kucher, break down how they read a revenue team from the inside and why most pricing problems are about trust and alignment, not the systems. - Cut the morning screen count from eight to ten systems down to one source of truth and two screens - Escape the one-brain trap where the whole company waits to be told to raise or lower prices - Treat a room as a room on a date, so peak weeks like July or Christmas can carry a far higher price - Build the price increase into the start of the booking curve instead of starting high and crashing it - Use AI to challenge your thinking, with human oversight, because a black box is as bad as no box Follow The Future of Hospitality for weekly insights into hospitality, hotels, and guest experience. Disclaimer: This podcast shares stories, experiences, and opinions from hosts and guests. They are personal perspectives only and not statements of fact or official advice from The Future of Hospitality