Pada buku ini terdiri dari 24 topik: Philosophy dan Evolusi Revenue Management dalam Hospitalitas, Integrated Revenue Management vs. Pendekatan Tradisional, Optimalisasi Total Revenue Per Available Room (TRevPAR), Competitive Set Analysis dan Market Positioning dalam Industri Perhotelan, Machine Learning Applications dalam Demand Forecasting di Industri Perhotelan, Big data analytics untuk Prediksi Perilaku Pelanggan, Real-time pricing algorithms dan dynamic rate optimization, Predictive modelling untuk no-shows and cancellation patterns, Attribution modeling untuk marketing channel effectiveness, Advanced segmentation strategies untuk industri perhotelan, Personalized pricing dan individual customer value optimization, Bundle pricing opitimization (room + ancillary services), Length of Stay Controls and Minimum Stay Restrictions, Overbooking optimization dengan Risk Management, Optimalisasi Saluran Distribusi Campuran Lanjutan (Advanced Channel Mix Optimization), Strategi Pemesanan Langsung (Direct booking) vs Ketergantungan pada OTA dalam Manajemen Perhotelan, Rate parity management across channel, Meta search optimization and bidding strategies, Corporate negotiated rates management, Package creation and cross selling strategies, Event and group booking optimization, Advance KPIs beyond RevPAR, Profit optimization vs revenue maximization, dan Krisis Revenue Management dalam industri perhotelan

Penulis:  IBM Wiyasha

Halaman buku: 314

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