Hospitality Revenue Management

Analyze and optimize hotel distribution channel mix — OTAs, direct, GDS, wholesale — to reduce acquisition costs, protect rate parity, and improve net revenue per booking.

Analyze competitor hotel rates, positioning, and market share using STR data and rate shopping to identify pricing opportunities, gaps, and optimal competitive set strategy.

Build and refine dynamic hotel pricing strategies based on demand forecasting, competitor rates, seasonality, and booking window to maximize RevPAR and occupancy.

Evaluate group booking proposals through displacement analysis — comparing group net revenue against projected transient demand to deliver data-driven accept, reject, or counter-offer decisions.

Analyze hotel market segments — transient, group, corporate, wholesale, OTA — to optimize segment mix, rate strategies, and inventory allocation for maximum revenue contribution.

Design overbooking strategies that offset cancellation and no-show losses, set risk-calibrated overbooking levels by period, and minimize walk costs while protecting guest satisfaction.

Build structured hotel annual revenue budgets with occupancy, ADR, and RevPAR projections by month and segment, supported by market assumptions and ownership-ready presentation formats.

Design minimum and maximum length-of-stay restrictions that protect high-demand nights, fill shoulder periods, and optimize total revenue across multi-night booking patterns.

Build accurate hotel RevPAR forecasts using historical data, demand signals, market trends, and booking pace analysis to support budgeting, staffing, and pricing decisions.

Expand revenue management beyond rooms to optimize F&B, spa, parking, meeting space, and ancillary revenue streams using demand-based pricing and capacity management principles.