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The client faced latency, data inconsistency, and failures due to complex microservices interactions with large-scale data processing. Manual testing and inadequate data generation tools hindered performance validation, while traditional monitoring failed to identify bottlenecks in their distributed architecture.
Enterprise inventory optimization platform enabling brands to manage slow-moving or excess stock across industries
The solution will reduce manual QA efforts by 70%, enable proactive detection of performance bottlenecks, and ensure seamless scalability for large data volumes. It will improve system reliability, accelerate debugging, and support confident platform expansion while maintaining integrity.