Automated Data Management and Analytics Platform for E-commerce Operations

The client relies on multiple reporting platforms across various markets and sales channels, manually uploading data in disparate formats and locations, leading to inefficiencies, errors, and data inconsistencies. This hampers their ability to perform timely and accurate analytics, affecting decision-making and operational optimization.

A mid to large-sized online retail company that manages multiple sales channels and markets, requires consolidated data analytics, and aims to optimize inventory, forecasting, and customer insights.

• Automate the collection, processing, and consolidation of critical business metrics from multiple sources into a centralized data warehouse.
• Ensure data accuracy, consistency, and security across all reports and operational data.
• Enable real-time data updates and historical data accessibility for comprehensive analysis.
• Improve analytical capabilities to facilitate faster decision-making, inventory optimization, and demand forecasting with targeted accuracy improvements (aiming for high forecasting accuracy and reduced stockouts).
• Support integration with multiple external platforms such as marketplaces, marketplaces, and ERP systems to streamline workflows.

• Automated data ingestion pipelines connecting to various platforms and sources (e.g., marketplaces, ERP systems, external reports).
• Currency conversion modules for multi-market data normalization.
• Data cleaning and standardization processes to ensure uniform formats and accuracy.
• A centralized, structured data warehouse enabling flexible querying and historical data analysis.
• Workflow orchestration for scheduled updates and processing using orchestration tools.
• Secure data storage with role-based access and compliance considerations.
• Integration modules with external currency rate APIs and other relevant systems.
• Real-time update capability for critical metrics.
• Dashboard interface for visualization and reporting.

• Marketplaces' reporting APIs and web scraping modules for product and sales data.
• Currency exchange rate sources for accurate conversions.
• ERP or inventory management systems for inventory and order data.
• Customer feedback and review platforms (optional).

• High scalability to handle at least 450,000 data entries daily and processing of 60 million pages for scraping.
• Robust data security and compliance with industry standards.
• High system availability with real-time data update capabilities.
• Performance metrics including data refresh within predefined time windows (e.g., daily or hourly).
• Error handling and data validation to prevent inconsistencies.
• Maintainability and extensibility for future feature addition.

The project aims to create an automated, reliable data infrastructure that consolidates multiple data sources, improves data accuracy, and provides timely insights. Expected benefits include real-time performance assessment, enhanced forecasting accuracy (targeting 88%+), reduction of stockouts by approximately 0.9%, and faster decision-making processes—ultimately leading to increased revenue, optimized inventory, and strengthened competitive positioning.