Ecommerce Retailer Case Study

A Leading E-commerce Retailer, Saves 200+ Hours Monthly with Datavio's Automated Data Warehousing Solution
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About

A rapidly growing e-commerce retailer operating across multiple marketplaces in India, the Middle East, and Southeast Asia, managing a diverse portfolio of brands and products across regional platforms. The company requires comprehensive data visibility to drive strategic decisions, optimise operations, and maintain financial accuracy. With operations spanning Amazon India, Flipkart, Myntra, Noon, Namshi, Amazon UAE, Shopee, Lazada, and other regional marketplaces, its finance and analytics teams depend on timely, accurate data consolidation for business intelligence.

The Challenge

The company’s expansion across multiple geographies and marketplaces created significant data management complexity:
Fragmented Data Sources: Critical business reports were scattered across 15+ different software platforms including marketplace seller portals, inventory management systems, advertising dashboards, and logistics platforms
API Limitations: Many essential platforms lacked API access, making automated data extraction impossible through traditional integration methods
Manual Data Extraction: The finance and operations teams spent 200+ hours monthly downloading reports manually, converting formats, and uploading to their Google Cloud Platform (GCP) data warehouse
Delayed Insights: Manual processes meant data was often 2-3 days old by the time it reached analytics dashboards, hindering real-time decision-making
Data Pipeline Fragility: Manual interventions created inconsistencies, missed uploads, and broken data pipelines that disrupted reporting cycles
Scalability Constraints: As the company expanded to new marketplaces, the manual workload became unsustainable.
The lack of automated data synchronization was becoming a bottleneck to the company’s growth and operational efficiency.

The Datavio Solution

Datavio designed and implemented an intelligent, RPA-powered data warehousing workflow that automated the entire data extraction and synchronization process.
Solution Architecture:
RPA-Powered Data Extraction
Automated bots navigate platforms without API access, mimicking human interaction to extract reports
Handles authentication, navigation, report generation, and download processes across all platforms
Adapts to platform UI changes through intelligent element recognition
Smart Alert System
Twice-daily scheduled extractions, ensuring fresh data availability
Sequential processing of all data sources with error handling and retry logic
Automated format standardization and data validation before upload
GCP Integration
Real-time dashboard for comprehensive visibility
WhatsApp notifications for urgent issues
Detailed email reports with analytics
Monitoring & Reliability
Real-time monitoring of all extraction workflows
Automated alerts for failed extractions or data anomalies
Comprehensive logging for audit trails and troubleshooting
The system runs autonomously twice daily—morning and evening—pulling reports from all marketplace and software platforms, standardizing formats, and uploading them directly to the company’s GCP instance, ensuring analytics dashboards always reflect current business performance.

Measurable Impact

Since implementing Datavio's automated data warehousing solution:
Operational Efficiency:
200+ hours saved monthly in manual data extraction and upload tasks.
100% automated coverage across 15+ software platforms and marketplaces
99.5% pipeline reliability, eliminating data gaps and reporting delays
Same-day data availability, down from 2-3 day delays
Business Impact:
Enhanced decision-making speed: Real-time dashboards enable faster response to market trends and inventory issues
Improved financial accuracy: Timely data synchronization ensures month-end closing processes are 30% faster
Revenue optimization: Faster insights into advertising performance enabled 12% improvement in ROAS through quicker campaign adjustments
Scalability unlocked: New marketplace integrations now take days instead of weeks, supporting aggressive expansion plans
Team Productivity:
Finance team reallocated from data extraction to strategic analysis
Operations team can access current inventory and sales data for proactive planning
Analytics team spends time on insights rather than data cleaning

Customer Testimonial

"Datavio has been instrumental in streamlining our internal reporting infrastructure. Before their solution, our finance team was drowning in manual data extraction work, and we were constantly making decisions based on outdated information. Now, our data flows seamlessly into our GCP warehouse twice daily without any human intervention. The 40+ hours we've saved monthly translates directly to our bottom line, but more importantly, the timely access to accurate data has transformed how we operate. We can spot trends, identify issues, and capitalize on opportunities in real-time. As we continue expanding across new markets, Datavio's system scales effortlessly with us. It's been absolutely invaluable for our growth trajectory."

- Head of reporting

Conclusion

Datavio's RPA-powered data warehousing solution transformed the company’s data management from a manual bottleneck into a seamless, automated advantage. By bridging the gap between platforms without APIs and modern data infrastructure, Datavio enabled the company to scale operations efficiently while maintaining data accuracy and timeliness across its multi-geography, multi-marketplace business.