For e-commerce finance and operations teams, tracking sales, profit, and refund performance across a growing catalog usually means manually pulling numbers from multiple sources before anyone can trust the totals. Automating that sync into centralized dashboards means the team is always looking at current figures rather than a report someone compiled last week. That shift from periodic manual reporting to standing visibility is what lets a growing seller catch margin or refund problems early instead of after the fact.
Automation, Integration
ClawBot SellerBoard Automation
Automated ClawBot configuration with SellerBoard integration for fetching and monitoring e-commerce metrics including sales data, profit calculations, refunds, and orders.
Tech Stack
Technologies Used
Tools and platforms used to build this solution.
Google Cloud Platform (GCP)
ClawBot
Python
Process
How It Works
A closer look at the workflow behind the results.
1
SellerBoard Data Sync
ClawBot, running on GCP, connects to SellerBoard to pull sales, profit, refund, and order metrics on a schedule.
2
Python-Based Metric Processing
Python scripts calculate profit and expense figures and normalize the data for consistent, accurate reporting.
3
Real-Time Dashboard Updates
The processed metrics refresh on a live dashboard, so sales, profit, and refund figures stay current without manual updates.
Metrics
Results & Impact
Measurable outcomes that demonstrate the value delivered.
Processed and analyzed $100K+ monthly sales data, improving financial visibility and reporting accuracy
Improved decision-making speed by 50% with centralized, real-time performance insights
Reduced manual reporting effort by 70% through automated data syncing and dashboard updates
Monitored profit and expense metrics with 95% accuracy, reducing manual calculation errors
Why It Matters
Business Impact
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