Amadeus Offer & Order Management Platform Implementation Testing
Overview.
Provides a brief introduction to the client’s business, industry, and the specific challenges they encountered. Also, try to set the context for the case study’s objective in solving complex business challenges.
Airline is taking a significant step forward in the transformation of airline retailing program. A first of its kind in the industry to bring personalization and real-time insights through adoption of Offers and Orders.
With the change from legacy PSS to ONE Offer Order management system, the complex implementation requires Business Process Testing along with Business Continuity Testing to make sure that there is no impact to the airline business.
Explain what challenges affected the client’s operations or goals, emphasizing any constraints that exacerbated the difficulties. Also, list the key business challenges encountered by the client in bullet points.
The Offer and Order Management System for the Airline is planned to be implemented phases. The key testing challenges include,
Reconstruction of PNR to Order encompassing all the different business rules, mandatory and optional data elements, technical constrains and integration with downstream systems requires deep Airline PSS domain knowledge to assure the correctness of an Order
Dynamic Pricing: Validation of pricing by the Offer Order Management System requires through understanding of the pricing models and capability to shop and compare with competition pricing
NDC Testing capabilities: Testing the NDC version upgrade to match the NDC versions compatible with the Offer Order Management Product.
Business Process Testing: Validating the end-to-end business process changes for Offer Order Management System requires understanding of business processes for both the PSS system and new Offer Order Management System
Business Continuity Testing: The transition to Offer Order Management System is a multi-year program. This requires parallel testing to ensure that the current PSS system works in sync with the new Offer Order Management System.
Data Feeds Testing: Testing the large feed files from the Offer Order Management System to the downstream systems (Revenue Account, Loyalty etc.) is cumbersome and error prone.
These challenges required a testing partner who has expertise in Airline PSS Domain and is well versed with the new Airline technologies like NDC, Dynamic Pricing, IATA One Order principles, Offer and Order Management System and the other internal and external systems, for integration testing.
Solution.
Describe the implemented solution in detail, including practical steps for its execution. Be sure to mention all specific tools or technologies utilized as part of the solution. List the key highlights of the Coforge’s solution in bullet points and consider adding relevant images if available.
Coforge helped the Airline in building an overall comprehensive test strategy covering all the different types of testing required to assure the new Offer Order Management System. The scope applications included Contact Center – Offline, Digital – online channel, NDC, DCS, Mobile App, Partner airlines, Other GDS and downstream systems like Revenue Management System, Loyalty and other Impacted systems.
Coforge created domain based mapping sheet to validate data parameters between three different systems, Offer and Order Management System, PNR in GDS and data for analytics.
Leverage Coforge Airline test cases repository of 10K test cases to quick. start testing the Offer and Order Management System with some updates.
Test Automation: Developed and implemented NodeJS based test automation framework in Playwright for automated regression testing.
Bulk PNR generator: Created synthetic test data generation utility for bulk PNR creation in GDS.
Order Feed Automation: Developed utility for automated validation of JSON Order Feeds having 6000+ data tags.
The impact.
The ‘Impact’ section summarizes the achieved results and improvements resulting from the solution in a tabular form. It includes both qualitative benefits experienced by the client and the relevant quantitative metrics (e.g., percentage improvements, time saved).
< 60 days
Taken for complete IAM service transformation
Zero
Disruption of services with the new IAM solution
24/7
Automation of the complete IAM process.
20%
Improvement in employee awareness
> 30% reduction in testing cycle time by utilizing test automation.
> 60% reduction in testing effort with automation for Order Feed Validation.
> 80% reduction in synthetic test data generation effort.
