This e-commerce supply chain optimization project was driven by product strategy and agile product development, aiming to improve inventory visibility and checkout conversion. By leading cross-functional collaboration and 0-1 product development, this initiative enabled real-time tracking, operational efficiency, and enhanced UX.
Product Overview This initiative was focused on optimizing the e-commerce supply chain through the implementation of 0-1 product features. The product streamlined inventory management, improved conversion rates, and enhanced user journey, ultimately delivering substantial revenue uplift. Key Product Features - 0-1 Inventory Automation: Real-time inventory tracking system via API integrations with existing order systems. - Checkout Optimization: Enhanced checkout UX through data-backed design improvements. - A/B Testing Engine: Implemented to validate hypothesis-based features, reducing cart abandonment. - KPI & OKR Alignment: All features prioritized based on core business goals and measurable outcomes. Product Management Contributions - Owned the end-to-end product lifecycle, from ideation to post-release analysis. - Defined product roadmap, managed backlog, and ensured sprint alignment with OKRs. - Designed and analyzed A/B testing experiments to optimize UX and conversion. - Collaborated with engineering and marketing teams to ensure cohesive release plans. - Monitored metrics like conversion rates, DAUs, and churn using Power BI dashboards. Technology Stack - Backend: Python, REST APIs - Inventory System: API-Driven Inventory Sync, MySQL - A/B Testing & Analytics: Google Optimize, Power BI, Google Analytics - UI/UX: Figma, Miro - Agile Tools: JIRA, Confluence Milestones Achieved - Reduced stockouts by 20% through inventory optimization. - Improved checkout conversion by 15%, resulting in a $500K revenue uplift. - Decreased cart abandonment by 12% via improved UX. - Achieved $60K annual savings through automation of manual inventory processes. Business Value & Next Steps This project significantly improved e-commerce performance by aligning product initiatives with strategic KPIs. Future phases will involve user personalization using ML algorithms, deeper engagement analytics, and broader integration with third-party logistics platforms.
Source: shubhamshrivastava11/ecommerce-supplychain-optimization