Chart A: QC Approval Rate Pie Chart
Purpose:
How to Build: Insight Gained:
[PIE CHART: Approve: 85% | RL: 15%]
LoveGoBuy Spreadsheet: Visualizing QC and Shipping Performance
2026-02-10
A Guide to Creating Clear Charts for Data Analysis
Effectively managing a haul involves tracking more than just item costs. For savvy LoveGoBuy users, transforming raw agent data into visual insights is key to making smarter decisions. This guide will show you how to structure your LoveGoBuy spreadsheet and create charts to visualize QC approval rates, delivery times, and refund percentages
1. Structuring Your Master Spreadsheet
Begin with a comprehensive table. Each row should represent a unique item, with columns capturing all critical stages:
| Item / Link | Store | Price (¥) | QC Result (Approve/RL) | QC Date | Ship Method | Parcel Dispatch Date | Delivery Date | Refund Issued? (Y/N) | Refund Reason |
|---|---|---|---|---|---|---|---|---|---|
| Sample Item 1 | Example Store | 250 | Approve | 2023-10-01 | EMS | 2023-10-05 | 2023-10-20 | N | N/A |
| Sample Item 2 | Another Store | 150 | RL | 2023-10-02 | SAL | 2023-10-10 | 2023-11-05 | Y | Quality Issue |
Tip: Use separate sheets or tabs for different hauls or time periods to keep data organized.
2. Creating Key Performance Charts
Chart B: Average Delivery Time by Shipping Method (Bar Chart)
Purpose:
How to Build: Insight Gained:
Delivery Date - Parcel Dispatch Date.
[BAR CHART: EMS: 15 days | SAL: 28 days | DHL: 8 days]
Chart C: Refund Percentage & Reason Trend (Combo Chart)
Purpose:
How to Build: Insight Gained:
(Items Refunded / Total Items Ordered) * 100.
[COMBO CHART: Line: Refund % trending down. Bars: "Quality" is the tallest bar reason.]
Conclusion: From Data to Decisions
By moving beyond simple lists to a visualized LoveGoBuy spreadsheet, you empower yourself with actionable business intelligence for your hauls. These charts transform anecdotal experiences into clear metrics, allowing you to:
- Identify and blacklist stores with poor QC or high refund rates.
- Optimize shipping strategy based on reliable transit time data.
- Track your own agent performance and satisfaction over time.
Start integrating these charts today, and let clear data guide your next, more successful haul.