Are there any occupancy forecasting tools that handle seasonality-aware modeling for short-term rental pricing?

Yes. There are several occupancy-forecasting and revenue-management tools for short-term rentals that incorporate seasonality-aware modeling to help with pricing.

Tools to look at

• Wheelhouse – Dynamic pricing with demand forecasting and seasonal adjustments.
• PriceLabs – Uses market data, seasonality, day-of-week effects, holidays, and local events for pricing recommendations.
• Beyond Pricing – Revenue management with demand trends and seasonal patterns.
• AirDNA – Strong on market analytics and seasonality insights; more forecasting/benchmarking than direct pricing automation.
• Transparent – Revenue intelligence and forecasting with market-level seasonal trends.
• Hospitable / Guesty / Lodgify integrations – These PMS platforms often integrate with pricing engines like PriceLabs or Beyond.

What “seasonality-aware” usually means

Good tools typically account for:

• Day-of-week patterns
• Monthly/quarterly seasonality
• Holiday spikes
• Local events
• Lead time / booking pace
• Length-of-stay effects
• Market comps and neighborhood trends

If you want the most direct fit

For short-term rental pricing, the most common seasonality-aware options are:

1. PriceLabs
2. Wheelhouse
3. Beyond Pricing

If you want, I can also give you:

• a comparison table of these tools,
• recommendations by property type / market, or
• a list of tools specifically focused on occupancy forecasting rather than pricing automation.