image
ractangle
case study

Hotel Revenue Optimization and Demand Forecasting Software

Hospitality

  • Software Development
  • Bespoke software
  • Automation
  • Big Data
  • Real-Time Solution
  • Reporting
  • Data Analytics

Today’s modern hotels require powerful hotel revenue management software to maximize profitability in what is an increasingly competitive industry. This study demonstrates how robust demand forecasting, smart dynamic pricing, and data-driven decisions could help reshape the hospitality business and drive revenue with tangible business results.

client

NDA Protected

  • image Malta
  • image 72 employees

Our client is a unique high-end hotel management leader with several renowned properties throughout Europe. Committed to excellence, the company utilizes cutting-edge technology and puts concept into practice. And as their portfolios grew, the chains found themselves grappling with piecemeal data and inconsistent pricing strategies. The client sought a thoroughgoing hotel revenue management system and powerful hotel revenue management tools that would enable maximising occupancy across all properties.

Acropolium's case study of hotel software development

request background

Real-Time Solution for Hotel Revenue Management for Consistent Pricing & Reporting

Current hoteliers are facing increasing battles from online travel agencies, shifting guest trends, and growing competition. Our client contacted Acropolium to develop an advanced hotel revenue management software with the capability of managing complex pricing schemes for multiple properties and optimally utilizing its revenue potential.

The hotel revenue management software was also expected to extend boundless intelligence in pricing strategies, which can help maximize the high and low seasons driven revenues for the hotels, also facilitate robust ancillary growth with respect to the achievability of additional up-sell and add-on services. Besides pricing fundamentals, it would also be necessary for the software to uphold consistent rates in all distribution channels, while providing real-time updates to all integrated systems, in addition to reporting thoroughly with a user-friendly revenue dashboard for better-informed revenue managers.

The main aim was to enhance revenue strategy through cutting-edge technology and agile processes, while driving greater profitability through more effective dynamic pricing, room inventory management, and operational efficiency across the entire hotel estate.

hotel revenue dashboard development by Acropolium

challenge

Data integration challenges in revenue management systems for large-scale hotels

Our customer had a hard time transitioning their revenue management process to several properties. The main goal is the integration of data from filtered sources, key to precise demand forecasting, intelligent real-time pricing optimization decisions.

Developing such a hotel revenue management system necessitated the inclusion of booking engine, CRM, PMS integrations, CRS integrations, and third-party distribution channels. Lacking a central data architecture led to fractured insights and varying reporting quality, which in turn prevented the company from accurately forecasting demand, adaptive pricing strategies, behaviour, or competitor analysis across countries.

Real-time processing also proved to be a major challenge for the institution. Hospitality is the business where immediate reactions to market changes, competitive strategies, and demands are necessary. They wanted a hotel revenue management system that would instantly receive data and analyze it, so they could make quick pricing adjustments and change availability in real time based on live market information, the pace of bookings, and guest behaviour trends.

Good rate shop capabilities were a key requirement to remain in the game. The client wanted advanced analysis tools to track competitors’ pricing strategy, room rate positioning, promotions, and overall market movements on an ongoing basis. This competitive business intelligence would help them to keep their pricing attractive for the guests and, at the same time, capture maximum revenue potential as well as market share.

For long-term success, scalability was one of the keys. Managing a rapidly growing portfolio of high-end properties spread through various markets required reliable infrastructure that could support a snowballing volume of data, jumping transaction loads, and deliver fast response times across all locations and time zones.

Compliance also added another level of complication to the project. The hospitality industry is ruled by myriad local, national, and international regulations around pricing, data privacy, and guest information. The hotel revenue management software had to come with built-in compliance features that keep up with regulations, protect businesses from legal risk and stay ahead of the most recent industry norms.

User acceptance turned out to be very important to the success of a project. The answer was an industry-specific solution requiring intuitive interfaces, simplified workflows, and comprehensive training materials; a strategic direction revenue managers couldn’t simply adopt but rather use effectively that would enable guest attraction and retention to remain attainable through superior pricing decisions.

goals

  1. Build and support a centralized data integration process that takes content from historical booking data, real-time market trends, and competitor pricing intelligence into a merged system to optimize PMS integrations as well as CRS integrations.
  2. Guarantee that an integration framework supports informed analysis and better decision making by bringing together multiple data sources into a single, unified system, fueling best-in-class demand forecasting.
  3. Apply complex algorithms and predictive models with advanced ML methods to be able to predict demand patterns precisely over different seasons and market segments.
  4. Harness big data analytics to arrive at an optimal price strategy on the fly by being able to apply dynamic pricing rules that react automatically to market changes.
  5. Adopt machine learning to continuously refine predictive accuracy on ever-changing market dynamics and changing guest booking behaviors.
  6. Build a complete revenue dashboard showing critical data, metrics, and performance for adjudicating immediate revenue opportunities / competitive challenges to the area under the revenue manager's responsibility.
  7. Design a scalable cloud infrastructure that can handle higher amounts of data and transaction loads, to ensure hotel revenue management tools work stably across any property.
  8. Manage the database optimally, resulting in good performance of occupancy, Data integrity, and operational reliability for all owned properties to facilitate effective occupancy optimisation strategies.
  9. Design a user-friendly, intuitive UX to enable a seamless onboarding and effective use of hotel revenue management tools by revenue managers to drive strategic success in ancillary revenue.
  10. Deliver full training, documentation, and ongoing support for revenue managers to fully maximize new revenue optimization functionality.
dynamic pricing tool for hotel revenue strategy

solution

A user-friendly and revenue-generating hospitality management software built by experts

  • image Node.js, Express.js, Redux, D3.js, PostgreSQL, MongoDB, AWS, EC2, S3, RDS, DynamoDB, Apache Kafka
  • image 17 months
  • image 7 specialists

For this specific hotel revenue management system, our development team opted for the agile approach to deliver absolute dynamism in order to accommodate and adapt to client demands and the market itself. Starting with in-depth client interviews and stakeholder workshops to capture detailed requirements, we developed a comprehensive functional specification detailing user roles, system interactions, and integration points.

After Acropolium's project managers outlined a comprehensive development plan, they broke the work up into equitably distributed two-week sprints to ensure consistent team output and increased stakeholder visibility and feedback loops.

In the beginning, working with that hotel revenue management software involved setting up strong data integrations between a variety of data sources (from property management systems to booking engines to market data providers). With a strong foundation in place, a comprehensive analysis was made possible (using sophisticated analytics tools and predictive ML methods) to provide accurate demand forecasting as well as optimal real-time pricing recommendations.

We also evolved our infrastructure with AWS cloud services, while handling large data sets, real-time transactions, and high concurrent user sessions. With their sights set on faster and more intelligent decision-making, our UI/UX designers developed intuitive interfaces tailored toward the unique workflows of a hotel revenue manager.

Following intensive testing, user acceptance validation, and extensive feedback, we successfully implemented a hotel revenue management software solution focused on sustainable user satisfaction and measurable business outcomes.

  • Our engineers have melded historical booking data, real-time market pricing trends, and competitor rates all into a single platform with complete PMS integrations and CRS integrations to ensure accurate intelligence.
  • We built advanced algorithms and predictive models with Node ML methods. Node.js to predict demand correctly, apply dynamic pricing with maximized optimization, and make smart decisions on occupancy optimization.
  • To compute interest pricing in real-time and make pricing recommendations based on market changes, we developed a complete rate shop module through Apache Kafka and Node.js, which persistently listens to whatever competitor analysis is available.
  • Acropolium implemented a cloud-based infrastructure on AWS with scalable resources to achieve superior and optimized management for its database, PostgreSQL, while maintaining the hotel revenue management system in an active state under increasing loads.
  • Finally, we developed a user-friendly interface with React. js, D3. js, and Redux, bringing a high-powered revenue dashboard to life, partnered with robust training for hotel revenue managers, while they make the most of their hotel revenue management software.

outcome

A Fundamental Approach to Hotel Revenue Management & Price Analytics Management Software Development Resulting in Significant Profit Growth

  • Adopting the hotel revenue management software and single-source data platform has made a dramatic impact on how our client operates, bolstering room occupancy optimisation by 15% by offering smarter scheduling optimisation and more accurate demand predictions.
  • The hotel revenue management system has played a key role in optimizing task completion, effective competitive analysis and very thoughtful inputs from the revenue dashboard to help make decisions on dynamic pricing that has resulted in an increased overall revenue of 18%.
  • The system, which features hotel revenue management software, provides actionable insights toward strategic decision-making, as well as new ancillary revenue streams and more effective hotel revenue management tools, and increased overall operational efficiency by 20%.
hospitality revenue solution case study by Acropolium
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