The client operates a web-based order management system built on a CMS that requires bug fixing, performance optimization, and new feature development to improve user experience, order reliability, and operational efficiency. The existing system needs enhancements to handle holiday delivery blocks, referral programs, advanced meal filtering (e.g., allergy/diet tags), and automated anomaly detection for critical processes such as subscriptions and payments.
A medium-sized meal prep and delivery startup offering healthy, balanced meals with online subscription management.
By redesigning and optimizing the web application with new features, automated anomaly detection, and performance enhancements, the platform is expected to significantly improve user satisfaction, reduce manual operational intervention by 95%, lower critical bugs to less than 2 per week, and boost page load speeds from 9 seconds to approximately 2-3 seconds. These improvements will foster increased customer loyalty, operational efficiency, and support scalable growth.