Travel and Hospitality
Market-validated
forecasting and planning
Leverage predictive AI and external foresight for better planning
Travel and Hospitality industry professionals can:
Accurately forecast demand for F&B, travel and tourism, lodging, and recreation
Prevedere helps travel and hospitality companies accurately forecast booking demand by region, brand, property, and segment by leveraging external data to determine factors that could impact your business.
Discover hidden global travel demand drivers
Prevedere analyzes global leading indicators to better understand upward and downward pressures by market, region, and segment. We then help you develop an unbiased fact-based plan to overcome risks and maximize opportunities.
Optimize marketing spend by region and property
Travelers’ expectations continue to change. Prevedere can generate 6, 12, and 18-month booking forecasts by geography, consumer segment, destination, or trip type so you can optimize marketing spend and ad targeting.
Infographic: Better retail business planning from smarter forecasting data
In an age of more frequent, rapid and seemingly unpredictable change, retailers must identify and incorporate their external drivers into planning and strategy.
eBook: Guide to Advanced Predictive Planning (APP)
Read how this new business planning model is tranforming strategic and operational practices and enabling companies to continue to grow in a volatile and rapidly changing world.
Case study: How a global brand transformed their go-to-market strategy
Learn how a global brand overcame consumer shifts and market volatility by leveraging external econometric insights to transform their go-to-market strategy.
"We create more accurate and market-validated demand forecasts to drive multiple supply side decisions and plans."
- Divisional GM, global travel enterprise
Determine the drivers of behavior
According to GlobaData, the online travel market is set to reach $765.3 billion by 2025.
Prevedere can determine the drivers of travel behavior & develop real-time AI-powered models to predict demand across travel segments, regions and product.
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