E-commerce Benchmark Automation Platform

• Manual benchmark creation took 2+ weeks per client
• No standardized methodology for competitive analysis
• Complex data extraction across billions of rows with database timeout constraints
• Need for scalable solution accessible to non-technical team members
• Manual competitor selection and page mapping processes

• Backend Development: Built Python-based benchmark engine with advanced competitor selection using clustering & cosine similarity algorithms
• Database Optimization: Implemented batch processing strategies to handle billions of rows without timeouts
• API Development: Created 35-route Flask API for seamless front-end integration
• Web Interface: Designed intuitive UI for benchmark configuration and management
• Algorithm Innovation: Developed automated competitor identification and page mapping systems
• Product Integration: Collaborated with product team to integrate solution into core platform

Technical Architecture:

• Python backend with advanced SQL optimization
• Flask API with 35 endpoints
• Automated Google Sheets integration
• Data visualization dashboards with Looker Studio
• Clustering algorithms for competitor analysis

• Time Reduction: 2 weeks → 5 minutes (99.7% time savings)
• Scale: Successfully delivered 15+ benchmarks before product integration
• Product Development: Solution became core product feature with MVP release
• Team Efficiency: Enabled non-technical team members to create benchmarks independently
• Business Value: Transformed manual service into scalable product offering