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Individual AI skill · AI for Hostelería

revenue-management

Optimiza ingresos hoteleros: pricing dinamico, yield management, forecast de ocupacion y analisis de canal mix.

Source content · review pending Source language: EN

Free ZIP · One canonical method · Usage example · Installation guide · Licence notices

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When to use it

  • Setting daily room rates for the next 90 days
  • Evaluating a group booking request — should you accept it? At what rate?
  • Managing channel mix: direct vs. OTA vs. GDS vs. wholesale
  • Running a rate shopping analysis against the competitive set
  • Setting up yield management restrictions (minimum length of stay, advance purchase)
  • Planning pricing strategy for a high-demand event or holiday
  • Calculating whether to accept a discounted group booking vs. selling the rooms individually

Mistakes to avoid

  • Opening OTA channels on high-demand nights without inventory restrictions — if you give an OTA 20 rooms on a night you're forecasting 95% occupancy and they sell 20 of them at $249, you've given away $40+/night in commission on rooms you could have sold direct at $319
  • Ignoring the GDS channel for corporate business — a property that doesn't appear in the GDS (Amadeus, Sabre) won't receive corporate booking requests; GDS should always remain open for corporate accounts even when OTAs are closed
  • Setting rates without checking your own website — the most common competitor to rate-shop is yourself; if your website is showing $299 for a date and the OTA shows $289, you're directing all your direct traffic to the OTA
  • Accepting a group rate that doesn't account for the true displaced revenue — always do the displacement analysis before accepting any discounted group; the group rate that "looks fine" is often significantly below what those rooms would have earned at BAR

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AI for Hostelería

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Catalogue path
skills/verticals/hospitality/skills/revenue-management
Ficha origin
Extracted from SKILL.md
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