Introduction 

Develop a high performance and a scalable platform that cater the need of digital specific channels for offer and order management services based on NDC specifications. 

• Managing a network of over 200 airlines, 75 agencies, and servicing 50 countries presents significant operational complexities. 

• Managing a network of over 200 airlines, 75 agencies, and servicing 50 countries presents significant operational complexities. 

• Seamless Integration with Diverse Systems. 

• Config Driven 

• Modular architecture 

• Web Tools 

• Offer Management Services 

• Order Management Services 

• Event-driven paradigm 

Outcomes

• B2C Internet Booking Engine platform which provides airlines configurable, flexible and easy way to build their own e-commerce products. 

• High-performance, scalable, and configurable core engine. 

• Segmentation layer to connect with various PSS and GDS systems. 

• Multi-level, rules-driven dynamic configuration 

• Support for NDC 17.2 and NDC 21.3 specifications 

• Reference implementations of microsites for airlines with customizable looks 

• Isolated or multi-tenant cross-region deployments 

• End-to-end observability for comprehensive monitoring 

Technological Framework:

Why this setup?

C# .Net with AWS Serverless delivers the high-performance, event-driven architecture needed for real-time offer and order management at airline scale, while AWS Traffic Manager ensures global availability and failover. 

Why this setup?

Xray Observability and CloudWatch deliver end-to-end visibility across all airline deployments and transactions, while Terraform IaC and Gitlab Runners ensure consistent, automated deployments per airline configuration. 

Why this setup?

A segmentation layer abstracting PSS and GDS connectivity ensures that adding new airlines requires only configuration not code while NDC-compliant APIs future-proof the platform for evolving distribution standards. 

Takeaway

Zapcom built an ML powered fabric selection engine for a $1B+ retail manufacturer enabling data-driven design decisions through a combined ROS/GP KPI, predictive algorithm, and real-time dashboard that replaced labour intensive manual trend analysis.