In Joyabuy's purchasing agency business, the handling of after-sales disputes directly impacts customer experience. Traditional dispute resolution methods often rely on manual processes that are time-consuming and lack consistency, potentially leading to customer dissatisfaction.
Joyabuy has implemented a sophisticated spreadsheet system to systematically collect and organize various types of after-sales dispute data, including:
This comprehensive data collection creates a foundation for intelligent analysis and pattern recognition.
Pro Tip: Color-coding spreadsheet entries by dispute type enables instant visual analysis and pattern recognition.
By leveraging data analysis tools with these spreadsheets, Joyabuy can:
The analysis reveals actionable patterns, such as quality control issues that peak at certain times or shipping problems concentrated with particular logistics providers.
The spreadsheet system serves as a growing knowledge base that:
New disputes can be matched with historical cases to determine optimal resolutions quickly.
The system includes dynamic vendor evaluation tabs that calculate key metrics:
| Metric | Benefits |
|---|---|
| Disputes per order | Identifies problematic suppliers |
| Damage rate percentage | Evaluates logistics reliability |
| Resolution cooperation score | Measures supplier responsiveness |
Vendors and agents that create excessive after-sales risks are de-prioritized in future transactions.
This data-driven dispute management system has transformed Joyabuy's after-sales service:
Are you facing similar challenges with your purchasing service disputes? Spreadsheet-based analytics might revolutionize your after-sales operations too.