resort.datasalt.ai

SPI Beach Resort Occupancy Dashboard

AI-powered occupancy forecasting and revenue management. Prophet-based demand prediction with dynamic pricing simulation and guest sentiment analysis.

$340K

Annual Revenue Uplift

89%

14-Day Accuracy

3 Events

Top Demand Drivers

Occupancy Forecasting

Adjust month, room type, and event scenarios to get instant Prophet-powered occupancy predictions with staffing recommendations.

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Guest Review Explorer

Explore 200 guest reviews with sentiment scoring, topic filtering, and monthly trend analysis.

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Resort Insights

Room type performance comparison and check-in volume patterns across the week.

Room Type Comparison
Check-in Patterns
8:00
9:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
Mon
2
0
9
8
9
6
6
12
9
12
7
5
3
0
Tue
1
2
5
5
7
8
5
8
9
7
5
3
4
1
Wed
1
1
7
5
6
6
8
7
7
9
4
3
4
2
Thu
3
0
9
6
7
10
11
14
13
15
9
7
6
4
Fri
6
6
18
17
15
18
24
27
24
25
16
14
12
7
Sat
6
7
19
20
22
19
32
31
30
29
15
16
15
6
Sun
5
3
12
8
13
9
16
17
17
17
9
12
11
4
Low
High

How It Works

1

Synthetic Data

3 years of realistic booking, pricing, and review data generated with seasonal patterns, event effects, and room type dynamics.

2

Prophet Forecast

Facebook Prophet time-series model captures seasonality, holiday effects, and growth trends to predict occupancy 90 days ahead with 89% accuracy.

3

Dynamic Pricing

Recommended rates adjust based on predicted demand, event impact, and room type. Revenue opportunity analysis identifies $340K annual uplift potential.