Mission-critical Modernization for an E-commerce Platform

Client

A leading India-based e-commerce technology provider powering real-time integrations across major marketplaces. Its platform served thousands of merchants and sat on the critical path of inventory, order, and transaction flows.

Challenge

A 16-year-old monolithic PHP integration platform was experiencing daily crashes under the weight of 178 marketplace integrations
Frequent external API changes from partners created cascading failures across the tightly coupled legacy core
Needed zero-downtime modernization while preserving merchant trust and uninterrupted business continuity
Rapid stabilization, together with building a foundation for the future

Solution

AI-driven analysis of codebases, ticket logs, & docs shaped the architecture for an event-driven hub converting fragmented traffic into AI-readable event streams
Canonical models & transformation microservices created a unified operational intelligence layer
Async queues and monitoring hooks prepared the platform for AI-led anomaly detection and predictive response
AI-first rewrite used a spec-driven model with predominantly AI-generated specifications
Tech Stack: Azure, MySQL, SNAPTM Speckit, Cursor with Opus and Sonnet

Impact

Maintained 100% uptime throughout the migration
Preserved 178 live integrations with zero disruption to merchant workflows
Improved platform performance by 300% after modernization

Strategic Significance

Showcases Indexnine’s ability to leverage AI to modernize mission-critical legacy platforms into AI-ready systems without disrupting live business operations

Struggling with Legacy System Constraints?

Talk to Indexnine about building event-driven, AI-enabled architectures that unlock performance, stability, and long-term scalability.