Event-Driven API Integration between Delivery Aggregators and Restaurant CRMs

Abstract

The article discusses the event-driven API integration of delivery aggregators with restaurant CRM as a core foundation of digital transformation within the gastronomic sector. The purpose is to design and test empirically an end-to-end event loop comprising a cloud message bus, implemented in a Go/Node.js microservices architecture orchestrated by Kubernetes, and versioned using blockchain data to minimize latency and increase fault tolerance, such that each transaction becomes a stream of training signals. Topicality is justified in reference to the widening gap between customer expectations for immediacy and sequential REST call practices today. It becomes strategically indispensable to frame possible and envisaged latency reduction figures of 73.8% and a 284% throughput increase around an event model. The novelty of this work lies in the complex synergy of three layers: (1) a unified JavaScript/TypeScript stack that eliminates cognitive and serialization overhead; (2) serverless functions with autoscaling to zero, aligning the cost of infrastructure with actual peak traffic; (3) a layer-two blockchain that reduces the cost of an immutable ledger by 94% and makes events legally binding. In this way, ordering, logistics, inventory, and loyalty programs merge into a self-learning fabric, wherein idempotency, type-safe schemas, and observability are intrinsic rather than bolt-on mechanisms. To that end, moving integration onto events transforms a restaurant from a static system into a reactive cyber-physical system that discovers demand, learns to price dynamically, and cryptographically records every action. The article will be helpful to architects and digital product managers in the HoReCa sector, as well as researchers of distributed systems and applied AI.