Company Overview
- US-based consumer e-commerce firm
- $16B in revenue
Tech Overview
- 100M+ Customers
- 5M+ Products
- 30k+ Global suppliers
Business & Technical Challenges
- To identify high-performing products for targeted promotion
- To assist suppliers in enhancing their product quality based on data-driven feedback
- How to build an integrated ecosystem that enables
- How to build an integrated ecosystem that enables
- Streamlined data processing and transformation
- Real-time analysis and visualization to support effective data driven decision-making
- Automated workflow orchestration
- High system performance across 30K+ external data sources
- Designed a GCP-based system that captures, processes, and integrates data from multiple sources for analysis
- Developed async data streaming using Google Pub/Sub into DataProc for data cleansing, transformation & analysis using BigQuery
- Orchestrated the entire data collection workflow using Cloud Composer to trigger downstream AI models for prediction of product performance
- Built intuitive dashboards and insights, aiding in business decision-making using Looker
- Facilitated the extraction and transformation of data from RDBMS sources using Debezium, enriching the dataset usedin the analysis
- Designed for fault tolerance, high availability using GCP best practices
- Successfully predicting sales performance across large assortment drives inventory, advertising, and many other systems
- Providing contextual feedback to suppliers helps them improve their offerings, in turn improving revenue and margin
- 15+% improvement in ads ROI
- Reduced time on 4% incremental revenue security operations
- Automated data integration and CICD processes
- Significantly scaled up analytics from previous manual efforts
- Reduced onboarding time for suppliers and time to market for products
