A Conceptual Integration Framework for Automated Booking Ecosystems Utilizing Event-Driven Architectures and Digital Twin Technologies

Abstract

Automated booking ecosystems are increasingly deployed across transportation, logistics, hospitality, and shared infrastructure domains, yet their integration patterns remain fragmented across heterogeneous platforms and protocols. Many existing deployments couple booking logic tightly with monolithic backends, which limits reuse, impedes cross-domain coordination, and complicates observability when systems are extended or combined. Event-driven architectures introduce an alternative paradigm in which bookings, state transitions, and policy decisions are expressed as streams of events rather than synchronous service invocations. In parallel, digital twin technologies provide virtual representations of resources, users, and environments that can offer a consistent, analyzable abstraction layer decoupled from any single operational platform. This paper proposes a conceptual integration framework for automated booking ecosystems that combines event-driven architectures with digital twin technologies to characterize information flows, state synchronization boundaries, and decision-making loci. The framework is designed to describe how resource twins, process twins, and user-centric twins can be orchestrated through event streams to manage availability, allocation, and lifecycle transitions of bookings across multiple providers. It also distinguishes between operational and analytical concerns, allowing simulation, anomaly detection, and policy evaluation to be performed on twin representations without disrupting live operations. The paper discusses modeling constructs, integration patterns, and performance considerations associated with an event-centric twin layer, with attention to practical aspects such as idempotency, compensation, and temporal consistency. The discussion is intended to support systematic reasoning about automated booking ecosystems that span several domains, technology stacks, and organizational boundaries.