Session

Architecting AI-Ready, Event-Driven eCommerce with Secure Microservices at Scale

Modern digital commerce is no longer just transactional — it is intelligent, distributed, and real-time. Retail organizations are re-architecting legacy monoliths into API-first, event-driven ecosystems capable of supporting AI personalization, dynamic pricing, and omnichannel fulfillment.

In this session, we will explore best practices for designing cloud-native eCommerce platforms using domain-driven microservices, asynchronous messaging, and zero-trust security principles. Drawing from enterprise retail modernization programs, this talk will cover:

Decomposing monolithic commerce platforms into bounded contexts

Designing scalable REST, GraphQL, and event-stream APIs

Implementing resilient service-to-service communication

Embedding AI capabilities into commerce workflows without compromising latency

Securing APIs with OAuth2, tokenization, and runtime threat detection

Observability strategies for distributed commerce systems

Attendees will leave with architectural blueprints and practical patterns to build AI-ready, secure, and highly scalable commerce platforms that operate reliably during peak demand events.

Why this works:
Strong alignment with microservices + AI + cloud-native modernization — high relevance to 2026 audience.

Yesha Patel

Enterprise Solution Architect | AI-Driven Commerce & Customer Transformation @ IBM

Tampa, Florida, United States

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