Solving Integration Problems in Travel Tech
Solving Integration Problems in Travel Tech
Solving Integration Problems in Travel Tech
Solving Integration Problems in Travel Tech
We partnered with a global travel technology company to overhaul their fragmented systems through advanced integration services.
We partnered with a global travel technology company to overhaul their fragmented systems through advanced integration services.
We partnered with a global travel technology company to overhaul their fragmented systems through advanced integration services.
Hospitality
Microservices
Cloud
Клієнт
Клієнт
NDA
NDA
NDA
Дата
Дата
2019
2019
2019
Роль
Роль
Development partner
Development partner
Development partner
Вебсайт
Вебсайт
NDA
NDA
NDA
Solving Integration Problems in Travel Tech
Solving Integration Problems in Travel Tech
Solving Integration Problems in Travel Tech
Customer's case
Customer's case
Customer's case
Our client is a major player in travel technology, offering a comprehensive ProcureTech platform including Multisource booking, Rate Protector, and Content Quality Management systems.
Our client is a major player in travel technology, offering a comprehensive ProcureTech platform including Multisource booking, Rate Protector, and Content Quality Management systems.
Our client is a major player in travel technology, offering a comprehensive ProcureTech platform including Multisource booking, Rate Protector, and Content Quality Management systems.
Integration challenges
Integration challenges
Integration challenges
The client faced critical integration challenges that were hindering their operations, including disparate data from over 17 content providers (GDS, OTAs, direct hotel connections), inconsistent APIs and data formats across multiple systems, a lack of real-time data synchronization between booking and financial systems, inefficient connections between customer-facing applications and back-end services, isolated loyalty programs and user profiles across different platforms, and compliance issues due to inconsistent data handling.
The client faced critical integration challenges that were hindering their operations, including disparate data from over 17 content providers (GDS, OTAs, direct hotel connections), inconsistent APIs and data formats across multiple systems, a lack of real-time data synchronization between booking and financial systems, inefficient connections between customer-facing applications and back-end services, isolated loyalty programs and user profiles across different platforms, and compliance issues due to inconsistent data handling.
The client faced critical integration challenges that were hindering their operations, including disparate data from over 17 content providers (GDS, OTAs, direct hotel connections), inconsistent APIs and data formats across multiple systems, a lack of real-time data synchronization between booking and financial systems, inefficient connections between customer-facing applications and back-end services, isolated loyalty programs and user profiles across different platforms, and compliance issues due to inconsistent data handling.
Integration solutions
Integration solutions
Integration solutions
Brightgrove implemented a comprehensive integration strategy, leveraging APIs, ESB, and real-time data streaming to connect disparate systems, normalize data, and unify customer profiles. This approach enabled streamlined operations, enhanced data accessibility, and improved compliance across the platform.
Brightgrove implemented a comprehensive integration strategy, leveraging APIs, ESB, and real-time data streaming to connect disparate systems, normalize data, and unify customer profiles. This approach enabled streamlined operations, enhanced data accessibility, and improved compliance across the platform.
Brightgrove implemented a comprehensive integration strategy, leveraging APIs, ESB, and real-time data streaming to connect disparate systems, normalize data, and unify customer profiles. This approach enabled streamlined operations, enhanced data accessibility, and improved compliance across the platform.
For API integration and management, a centralized API gateway using Kong API was developed to manage connections with over 17 content providers. Protocol adapters were implemented to normalize data from SOAP, REST, and proprietary APIs, and a unified API layer using GraphQL was created to provide consistent access to all travel data.
For API integration and management, a centralized API gateway using Kong API was developed to manage connections with over 17 content providers. Protocol adapters were implemented to normalize data from SOAP, REST, and proprietary APIs, and a unified API layer using GraphQL was created to provide consistent access to all travel data.
For API integration and management, a centralized API gateway using Kong API was developed to manage connections with over 17 content providers. Protocol adapters were implemented to normalize data from SOAP, REST, and proprietary APIs, and a unified API layer using GraphQL was created to provide consistent access to all travel data.
For financial systems integration, real-time integration was implemented between the booking system and SAP financials using SAP PI/PO, and custom connectors were developed for reconciling payments from multiple OTAs and payment gateways.
For financial systems integration, real-time integration was implemented between the booking system and SAP financials using SAP PI/PO, and custom connectors were developed for reconciling payments from multiple OTAs and payment gateways.
For financial systems integration, real-time integration was implemented between the booking system and SAP financials using SAP PI/PO, and custom connectors were developed for reconciling payments from multiple OTAs and payment gateways.
For data integration and synchronization, an Enterprise Service Bus (ESB) was implemented using Apache Camel for routing and transforming data, Apache Kafka was utilized for real-time data streaming to ensure up-to-date inventory and pricing, and a master data management system was developed to maintain consistency of hotel and user data.
For data integration and synchronization, an Enterprise Service Bus (ESB) was implemented using Apache Camel for routing and transforming data, Apache Kafka was utilized for real-time data streaming to ensure up-to-date inventory and pricing, and a master data management system was developed to maintain consistency of hotel and user data.
For data integration and synchronization, an Enterprise Service Bus (ESB) was implemented using Apache Camel for routing and transforming data, Apache Kafka was utilized for real-time data streaming to ensure up-to-date inventory and pricing, and a master data management system was developed to maintain consistency of hotel and user data.
For customer profile and loyalty integration, a unified customer profile system was created, integrating data from multiple CRM systems and loyalty programs, and OAuth 2.0 and OpenID Connect were implemented for single sign-on across all customer-facing applications.
For customer profile and loyalty integration, a unified customer profile system was created, integrating data from multiple CRM systems and loyalty programs, and OAuth 2.0 and OpenID Connect were implemented for single sign-on across all customer-facing applications.
For customer profile and loyalty integration, a unified customer profile system was created, integrating data from multiple CRM systems and loyalty programs, and OAuth 2.0 and OpenID Connect were implemented for single sign-on across all customer-facing applications.
For system integrations, the Multisource booking engine was connected with the Rate Protector system using a microservices architecture, the Content Quality Management system was integrated with hotel extranets and channel manager APIs, and customer-facing web and mobile applications were linked with the core booking and inventory management systems.
For system integrations, the Multisource booking engine was connected with the Rate Protector system using a microservices architecture, the Content Quality Management system was integrated with hotel extranets and channel manager APIs, and customer-facing web and mobile applications were linked with the core booking and inventory management systems.
For system integrations, the Multisource booking engine was connected with the Rate Protector system using a microservices architecture, the Content Quality Management system was integrated with hotel extranets and channel manager APIs, and customer-facing web and mobile applications were linked with the core booking and inventory management systems.
For regulatory compliance integration, a centralized compliance engine was developed that integrates with all data processing systems, and data masking and encryption services were implemented that integrate with all customer data touchpoints.
For regulatory compliance integration, a centralized compliance engine was developed that integrates with all data processing systems, and data masking and encryption services were implemented that integrate with all customer data touchpoints.
For regulatory compliance integration, a centralized compliance engine was developed that integrates with all data processing systems, and data masking and encryption services were implemented that integrate with all customer data touchpoints.
For monitoring and analytics integration, the ELK stack (Elasticsearch, Logstash, Kibana) was integrated with all systems for centralized logging and monitoring, and custom connectors were developed to feed data from all systems into a central data lake for advanced analytics.
For monitoring and analytics integration, the ELK stack (Elasticsearch, Logstash, Kibana) was integrated with all systems for centralized logging and monitoring, and custom connectors were developed to feed data from all systems into a central data lake for advanced analytics.
For monitoring and analytics integration, the ELK stack (Elasticsearch, Logstash, Kibana) was integrated with all systems for centralized logging and monitoring, and custom connectors were developed to feed data from all systems into a central data lake for advanced analytics.
Download extended case study in .pdf
Download extended case study in .pdf