With the rapid expansion of cross-border e-commerce, Panglobalbuy, as a professional drop shipping (dai gou) service provider, faces increasing challenges in terms of operational efficiency and data coordination. This article focuses on consolidating multi-channel business process data of Panglobalbuy into structured spreadsheets, then applies business process reengineering (BPR) theory to analyze current workflows and propose optimization strategies.
| Module | Data Type | Current Platform | Integration Issue |
|---|---|---|---|
| Order Management | Order IDs, Timestamps | Shopify/WeChat | Manual data entry delays |
| Inventory Tracking | SKUs, Stock Levels | 3PL Systems | 24h synchronization lag |
| Payment Reconciliation | Transaction Records | Alipay/PayPal | Currency conversion errors |
The audit reveals three critical pain points: 37% duplicate data entries across systems, over 15 hours weekly spent on manual reconciliation, and inconsistent currency conversion rates impacting financial reporting.
Implement importRange()+QUERY() functions in Google Sheets to create real-time dashboards pulling from:
Develop Apps Script workflows to:
Phase 1 (Weeks 1-4): Core integration with finance/payment systems
Phase 2 (Weeks 5-8): Cross-platform inventory synchronization
Phase 3 (Weeks 9-12): Automated reporting and KPI tracking
Post-implementation KPIs include 50% reduction in order processing time and 80% decrease in reconciliation errors.
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