Hotel Price Optimization

Daily price suggestions from Booking.com/Expedia competitor data + occupancy

// The problem

Revenue management requires expertise at big hotels. Small/mid hotels guess, lose 20-30% revenue.

// What it does

Combines daily competitor prices in your region + your occupancy + historical trend. Optimal price suggestion for tomorrow and next 7 days per room type.

// Value

Revenue +15-25% (season)

Small/mid hotels do optimal pricing without hiring a revenue management expert.

Setup time: 10-14 gün

// How it works

  1. 01

    Rakip otel listesi (Booking/Expedia URL'leri)

  2. 02

    Günlük scraping (public fiyatlar)

  3. 03

    Sizin PMS'inizden doluluk + tarihsel data

  4. 04

    Talep tahmini (etkinlik, sezon, tatil)

  5. 05

    Optimal fiyat (revenue maximization)

  6. 06

    Sabah otel manager'a Slack önerisi

  7. 07

    Onaylanan fiyat → channel manager'a push (Booking/Expedia/sizin site)

// Real example

Bir Bodrum 30-oda butik otel, AI fiyat önerisi ile sezon revenue'sunu +%23 artırdı.

// Trigger

Cron (sabah)

// Output channels

SlackEmailWebhookDashboard

// Integrations

Booking.com (scrape)Expedia (scrape)Channel Manager (eRevMax, Cloudbeds)PMS

// Limits (honest)

  • ×Booking/Expedia resmi API B2B partner'lara verir, public scraping ToS sınırında
  • ×İlk 30 gün baseline kurulum
  • ×Otel manager final onay vermez ise otomatik fiyat değiştirilmez

// SSS

01.Otomatik fiyat değiştirir mi?+

Manager onayıyla. İsterse 'auto-pilot' modu da var (güven aralığı yüksek olanlar otomatik).

// Tech stack

OpenAIWeb scrapingML forecastingChannel Manager APIs
~/order-otel-fiyat-optimizasyon

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