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Hotel Revenue Optimization and Demand Forecasting Platform Development

acropolium

Hospitality & leisure

Challenges in Revenue Management and Data Integration

Prestigious Hotels Group is struggling with fragmented data across booking engines, CRM, and third-party platforms, hindering accurate demand forecasting and dynamic pricing. The lack of real-time insights and competitive pricing analysis limits their ability to optimize revenue, manage increasing data volumes from a growing property portfolio, and ensure regulatory compliance. Manual processes for pricing adjustments are inefficient and reactive.

About the Client

A leading hotel management company overseeing multiple high-end properties, focused on delivering exceptional guest experiences and operational efficiency.

Project Goals

Develop a centralized platform for seamless data integration from various sources.
Implement advanced demand forecasting capabilities using machine learning.
Enable dynamic pricing optimization based on real-time market conditions and competitor analysis.
Provide real-time reporting and dashboards for revenue managers.
Ensure scalability to accommodate future growth and data volume increases.
Facilitate easy adoption and utilization of the new system by hotel staff.
Maintain compliance with relevant industry and regulatory standards.

Functional Requirements

Real-time data integration from booking engines, CRM, and external sources.
Automated demand forecasting with machine learning algorithms.
Dynamic pricing engine with rule-based and AI-powered optimization.
Real-time dashboards and reporting capabilities.
Competitor price monitoring and analysis.
User role management and access control.
Alerting system for revenue opportunities and threats.
Integration with existing hotel property management systems (PMS).

Preferred Technologies

Node.js

Express.js

Redux

D3.js

PostgreSQL

MongoDB

AWS (EC2, S3, RDS, DynamoDB, Apache Kafka)

Required Integrations

Booking Engines (e.g., Expedia, Booking.com)
CRM Systems (e.g., Salesforce)
PMS (e.g., Opera, Fidelio)
Competitor Price Monitoring APIs

Non-Functional Requirements

Scalability to handle increasing data volumes and user traffic.
High performance and low latency for real-time data processing.
Data security and privacy compliance.
User-friendly interface for easy navigation and data analysis.
Reliability and availability.

Expected Business Impact

Implementation of the platform is expected to significantly improve revenue management efficiency, increase room occupancy rates, optimize pricing strategies, and enhance overall profitability. Specifically, the project aims to achieve a 15% increase in occupancy, an 18% increase in overall revenue, and a 20% improvement in operational efficiency.