Machine Learning Driven Revenue Management

Optimize Occupancy and Maximize Revenues

GrayMatter’s Car Park Revenue Management System (CPRM) is a machine learning based demand-driven dynamic car park pricing & analytics system for car parks at airports, malls and independent car parks. CPRM forecasts occupancy and recommends optimal pricing to maximize revenues. CPRM also provides critical data-driven insights to maximize revenue and management control, for both pre-bookings and drive-ups

Car Park Revenue Management System


Business Case for CPRM

CPRM Business Case


Ms Vita Andrews, Head of Parking, Swedavia AB

I am glad that we have embarked on this engagement with GrayMatter. I am expecting that the CPRM system would enable much more accurate pricing in response to dynamic changes in factors affecting car park occupancy.”

Demand Forecasting & Price Optimization

Demand Forecasting and Price Optimization

Comprehensive Business Intelligence for Decision Support

Pre-Booking Analysis

Booking Overview
Booking Trends
Pre-book Trading
Booking Pace
Car Park Revenue

Trading Analysis

Trading Overview
Trading Analysis (YoY)
Trading Analysis (Future)


Price v/s Demand
Demand Shift Configuration Matrix
Booking Pace Patterns


Forecast Summary
Forecast Patterns
Stop Sales Report
Price Changes by Stage
Demand Shift Status
Price Output
Weekly Price Report
MAPE Analysis
Bid Price Analysis

Pricing Analysis

Decision Review
Price Pattern
Price Point

Master Data Management

Car Park Capacity
Car Park Master
Product Details
Event Master
Event Type Master
Price Point

Decision Support through dashboards and reports with various features and functionalities like Filters for Terminal, Car Park, Time period selection, Scorecards, Drill downs.

At GrayMatter, Your Business Matters!
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At GrayMatter, Your Business Matters!
Contact Us