Client
Precium
Project Scope and Technology
AI-powered dynamic pricing engine , Forecasting & budgeting tools , Real-time competitor rate shopping , Rate parity monitoring , Local events data/calendar integration , Cloud-based portfolio management dashboard, Live sales and occupancy analytics
Team Composition
2 x Machine Learning Engineers, 1 x Backend Engineer, 1 x Frontend Developer, 1 x Product Analyst
Country
India
Industry
Finance
Work duration
10 months
Precium set out to revolutionize hotel room pricing by harnessing artificial intelligence and real-time data. The platform’s core mission was to provide hotel managers with actionable daily rate recommendations backed by market data, competitive analysis, and local event intelligence. By centralizing these tools, Precium aimed to empower even small and mid-size properties with sophisticated pricing strategies. The centralized dashboard was crafted to offer portfolio-wide management capabilities, helping hotels compete more effectively, maximize capacity, and respond instantly to market changes - without the need for cumbersome spreadsheets or manual analysis.
Building an AI engine that could accurately recommend optimal room rates for varying properties required large-scale aggregation of historical data, competitor pricing, and event-driven demand signals. Ensuring pricing parity across online channels and adapting to rapidly fluctuating markets introduced complexity in both data integration and algorithm design. Connecting these pieces into a unified dashboard forced the team to streamline multiple data sources, support varied booking systems, and safeguard real-time data accuracy and security. Additionally, onboarding non-technical hotel managers with intuitive, easy-to-use interfaces and minimal training presented change management obstacles, demanding rigorous workflow testing and end-user feedback.
The team began by collaborating with hotel managers to map pricing workflows, revenue management pain points, and required integrations. Machine learning specialists developed models trained on years of occupancy, booking, competitor, and local event data to generate dynamic rate suggestions. Integration engineers built connectors for real-time competitor and event feeds, ensuring granular insights into current market trends and parity risks. The dashboard was designed for clarity, providing live snapshots of property performance, occupancy forecasts, and actionable pricing levers. Extensive user acceptance testing sessions captured feedback from hotels of all sizes, while cloud-based deployment and layered security ensured rapid scaling and compliance. The resulting platform gave clients full control of rates, budgeting, and channel performance, all from a single, user-friendly interface.
Precium enabled hotels to set optimal rates using live recommendations, resulting in measurable increases in both occupancy and revenue per available room. Clients reported greater market agility and significant time savings compared to legacy, manual pricing processes. With Precium, properties - from boutique hotels to larger chains - embraced a modern, data-driven approach to revenue management, achieving higher profitability and operational transparency.
Founder & Managing Director , Kamal Kishore
Hire the best Golang developers to create high-performance web apps, microservices, and backends that build a strong foundation for your business growth.
Client
Precium
Project Scope and Technology
AI-powered dynamic pricing engine , Forecasting & budgeting tools , Real-time competitor rate shopping , Rate parity monitoring , Local events data/calendar integration , Cloud-based portfolio management dashboard, Live sales and occupancy analytics
Team Composition
2 x Machine Learning Engineers, 1 x Backend Engineer, 1 x Frontend Developer, 1 x Product Analyst
Country
India
Industry
Finance
Work duration
10 months
Precium set out to revolutionize hotel room pricing by harnessing artificial intelligence and real-time data. The platform’s core mission was to provide hotel managers with actionable daily rate recommendations backed by market data, competitive analysis, and local event intelligence. By centralizing these tools, Precium aimed to empower even small and mid-size properties with sophisticated pricing strategies. The centralized dashboard was crafted to offer portfolio-wide management capabilities, helping hotels compete more effectively, maximize capacity, and respond instantly to market changes - without the need for cumbersome spreadsheets or manual analysis.
Building an AI engine that could accurately recommend optimal room rates for varying properties required large-scale aggregation of historical data, competitor pricing, and event-driven demand signals. Ensuring pricing parity across online channels and adapting to rapidly fluctuating markets introduced complexity in both data integration and algorithm design. Connecting these pieces into a unified dashboard forced the team to streamline multiple data sources, support varied booking systems, and safeguard real-time data accuracy and security. Additionally, onboarding non-technical hotel managers with intuitive, easy-to-use interfaces and minimal training presented change management obstacles, demanding rigorous workflow testing and end-user feedback.
The team began by collaborating with hotel managers to map pricing workflows, revenue management pain points, and required integrations. Machine learning specialists developed models trained on years of occupancy, booking, competitor, and local event data to generate dynamic rate suggestions. Integration engineers built connectors for real-time competitor and event feeds, ensuring granular insights into current market trends and parity risks. The dashboard was designed for clarity, providing live snapshots of property performance, occupancy forecasts, and actionable pricing levers. Extensive user acceptance testing sessions captured feedback from hotels of all sizes, while cloud-based deployment and layered security ensured rapid scaling and compliance. The resulting platform gave clients full control of rates, budgeting, and channel performance, all from a single, user-friendly interface.
Precium enabled hotels to set optimal rates using live recommendations, resulting in measurable increases in both occupancy and revenue per available room. Clients reported greater market agility and significant time savings compared to legacy, manual pricing processes. With Precium, properties - from boutique hotels to larger chains - embraced a modern, data-driven approach to revenue management, achieving higher profitability and operational transparency.
Founder & Managing Director , Kamal Kishore
Hire the best Golang developers to create high-performance web apps, microservices, and backends that build a strong foundation for your business growth.
We’ll respond within one business day. Connect to plan a solution that advances your product and business.
USA: +1 - 210 972 5958
India: +91 - 977 676 7574
USA - 2219 Main Street, Santa Monica, CA 90405
India - Block C, ATS BOUQUET, C 401, Block B, Sector 132, Noida, Uttar Pradesh 201304
We’ll respond within one business day. Connect to plan a solution that advances your product and business.
USA: +1 - 210 972 5958
India: +91 - 977 676 7574
USA - 2219 Main Street, Santa Monica, CA 90405
India - Block C, ATS BOUQUET, C 401, Block B, Sector 132, Noida, Uttar Pradesh 201304
