Pricing Optimization / M2

Pre-Booking Pricing

Lead-time based pre-book rates derived from shared M1 demand and occupancy forecasts.

Acting as (DEMO role)

DEMO simulation · Not connected to booking or payment systems. Proposals enter the shared approval workflow; approval never publishes rates.

Active Pre-Booking Rates

Facility × window × durationDEMO

Forecasted Pre-Booking Demand

Bookings, next 7 days (M1)DEMO

Average Booking Lead Time

Demand-weighted assumptionDEMO

Expected Pre-Booking Revenue

At current rates, illustrativeDEMO

Pre-Booking Conversion Rate

Synthetic search-to-book assumptionDEMO

Pre-Booking Rate ManagementDEMO

Early (14+ d)

35% of demand

31% of revenue · SAR 461,202

Standard (3–13 d)

45% of demand

46% of revenue · SAR 694,720

Last-minute (0–2 d)

20% of demand

24% of revenue · SAR 355,266

FacilityBooking lead timeParking durationProposed price (SAR) · current 70Expected demand adjustment: 0%Available capacity adjustment: 0% (4,165)

Est. bookings · DEMO

2,747

−5.1% vs current

Est. revenue · DEMO

SAR 203,278

+0.3% vs current

Capacity utilisation · DEMO

66%

within capacity

Elasticity · DEMO

-0.9

assumed, by lead time

Bookings = forecast 2,896 × (1 + demand adj) × (1 + elasticity × price change +5.7%), capped at capacity. Illustrative only.