King Khalid International AirportPricing Optimization
Pricing Optimization / M2

Inventory Allocation

Pre-book, drive-up and reserved space allocation by facility, based on shared M1 demand, occupancy and length-of-stay forecasts.

DEMO simulation · Synthetic data, not connected to PARCS or booking systems. Allocation proposals follow the shared approval workflow; approval never applies an allocation automatically.
Total Parking Capacity
Physical spaces (shared M1)DEMO
Currently Occupied Spaces
13 Oct 23:00 RiyadhDEMO
Available Inventory
Excludes reserved spacesDEMO
Pre-Booking Allocation
Bookable allotmentDEMO
Drive-Up Allocation
Reserved 170 · unallocated 0DEMO
Facilities at Capacity Risk
Forecast peak ≥ 85% or overflowDEMO

Facility Inventory ManagementDEMO

Available = free allotted spaces, excluding reserved. Forecast peak and risk match Occupancy Forecasting.

Inventory DistributionDEMO

Current position; occupied + available + reserved = physical capacity

Pre-book vehicles fill the pre-book allotment first; excess uses the drive-up pool, then the reserve — no space is counted twice.

Smart Allocation RecommendationsDEMO

Terminal Parking A · Flag potential capacity shortage

Peak demand exceeds usable capacity (capacity − 56 reserved) by 194 vehicles. Forecast peak demand 1538 vs capacity 1400; pre-book share 22%; avg stay 5.5 h; avg lead time 10.7 days.

Terminal Parking A · Redistribution not suggested

No facility with confirmed parking-product compatibility has spare capacity at this peak.

Terminal Parking B · Flag potential capacity shortage

Peak demand exceeds usable capacity (capacity − 48 reserved) by 126 vehicles. Forecast peak demand 1278 vs capacity 1200; pre-book share 30%; avg stay 5 h; avg lead time 10.7 days.

Terminal Parking B · Redistribution not suggested

No facility with confirmed parking-product compatibility has spare capacity at this peak.

Long Stay Parking · Reserve 34 more spaces for drive-up

Drive-up peak (496) exceeds the drive-up pool (464) while pre-book demand (1053) leaves 35 unused. Short stays (26 h) turn spaces over quickly. Forecast peak demand 1549 vs capacity 1600; pre-book share 68%; avg stay 26 h; avg lead time 10.7 days.

Est. impact: +SAR 450 · DEMO

Premium Parking · Flag potential capacity shortage

Peak demand exceeds usable capacity (capacity − 18 reserved) by 81 vehicles. Forecast peak demand 363 vs capacity 300; pre-book share 45%; avg stay 7 h; avg lead time 10.7 days.

Premium Parking · Redistribution not suggested

No facility with confirmed parking-product compatibility has spare capacity at this peak.

Rule-based DEMO logic over shared forecasts — not live AI output; revenue effects are illustrative, not validated benefits.

Allocation SimulationDEMO

Adjust allocations; results recalculate against the shared M1 forecast peak and average utilisation.

Pre-booking allocationcurrent 308
Drive-up allocationcurrent 1,036
Reserved capacitycurrent 56
Allocated 1,400 / 1,400 physical spaces · 0 unallocated (usable by drive-up)
Available inventory at peak · DEMO
0
baseline 0
Expected utilisation (avg) · DEMO
69.0%
baseline 69.0%
Forecast peak occupancy · DEMO
96.0%
baseline 96.0%
Est. revenue impact · DEMO
SAR 0
baseline 7 days
Capacity risk: Critical(warning 85% · critical 95%)

Forecast peak demand: pre-book 338 · drive-up 1,200 at 18 Oct 18:00. Yield assumptions per occupied space-day: pre-book SAR 70, drive-up SAR 79 (illustrative).

No change from the current allocation.

Recommendation for this allocation · DEMO

Flag potential capacity shortage

Redistribution not suggested

Forecast pre-book peak exceeds allotment by 30 — bookings would be turned away.

Forecast drive-up peak exceeds the drive-up pool by 164 — overflow risk at entry.

  • • Proposed allocation equals the current allocation.

Approval does not apply the allocation. Activation is a separate, simulated publication step by an authorised approver; nothing is sent to PARCS.

Allocation ProposalsDEMO

No allocation proposals yet. Use the simulator to save a draft or submit for approval.