Hospitality
Revenue Optimization for a Multi-Property Hotel Chain
Built a dynamic pricing dashboard and competitor benchmark model that identified pricing gaps across peak seasons.
+28%
Revenue uplift
3 mo.
Time to insight
14
Properties
clientType
Enterprise Hotel Group
duration
3 months
geography
India
engagementModel
Analytics Consulting
Challenge
- • Fragmented pricing strategy across properties
- • Lack of real-time competitor benchmarking
- • Seasonality not reflected in pricing models
Solution
- • Developed centralized pricing intelligence dashboard
- • Integrated competitor scraping and benchmarking engine
- • Built seasonality-adjusted dynamic pricing model
Approach
- • Data aggregation from PMS systems
- • Exploratory data analysis on booking trends
- • Modeling demand elasticity vs pricing
- • Dashboarding with real-time insights
Outcomes
- • Improved ADR across all properties
- • Identified underpriced high-demand windows
- • Enabled revenue managers with actionable insights
+35%
Peak Season Gain
+18%
Occupancy Increase
Timeline
Data Collection2 weeks
Modeling4 weeks
Dashboarding3 weeks
Deployment1 week
Tech Stack
PythonPandasSQLPower BI