- 1. Hotel contract and pricing management: Managing complex hotel contracts and pricing structures, including negotiation of rates with different vendors, ensuring contract compliance, and handling demand and supply fluctuations.
- 2. Background data generation: Generating data in the background without impacting application performance, including optimizing resource allocation, minimizing system latency, and ensuring data consistency and integrity.
- 3. Room allotment quota generation: Generating room allotment quotas based on various scenarios, such as sub-allotments and special allotments with dependencies on other rooms, and optimizing room occupancy rates using complex algorithms.
- 4. Integration with CRS systems: Integrating with different CRS systems for booking requests and real-time monitoring of socket service health, such as Amadeus, Sabre, Traffics, MyJack, Neo, including managing multiple APIs, ensuring data security, and handling errors and exceptions in a timely manner.
- 1. Hotel contract and pricing management: Implementing a centralized contract management system to streamline negotiations and ensure compliance, leveraging data analytics tools to forecast demand and optimize pricing, and using revenue management software to adjust rates in real-time based on occupancy levels.
- 2. Background data generation: Designing a scalable and distributed data processing architecture using technologies such as Apache Spark and Hadoop, optimizing data caching and partitioning strategies, and implementing data quality and validation checks to ensure accuracy and completeness.
- 3. Room allotment quota generation: Developing a rule-based engine that can handle complex allotment scenarios and dependencies, leveraging machine learning algorithms to predict demand and optimize room allocation, and integrating with occupancy and rate management systems to dynamically adjust allotments based on market trends.
- 4. Integration with CRS systems: Implementing a robust and fault-tolerant service-oriented architecture to handle communication with CRS systems, leveraging API gateways and load balancers to manage traffic, and using advanced monitoring and alerting tools to detect and resolve issues in real-time.
- 1. Improved performance: The implemented solution successfully stored and processed millions of records without impacting the performance of the application, ensuring smooth and efficient data management operations.
- 2. Faster data retrieval: The system was able to quickly capture data from different tables and apply complex joins in the database query, resulting in faster data retrieval and improved query performance.
- 3. Efficient allotment generation: The allotment generation process was optimized to handle 10,000+ rows in just 1 second, ensuring that rooms were available for booking in real-time, enhancing customer satisfaction and revenue generation.
- 4. Enhanced monitoring and issue resolution: The implemented system enabled managers and users to proactively monitor the health of the CRS Socket service, allowing them to quickly detect and resolve any downtime issues, minimizing business disruptions and ensuring smooth operations. It also facilitated developers in tracking the cause of downtime, enabling prompt action to be taken for issue resolution.
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