How to Use the OrientDig Spreadsheet for Seller Reliability Analysis
Finding consistent and reliable sellers is crucial for maintaining product quality and supply chain stability. OrientDig's specialized spreadsheet provides powerful tools to analyze seller performance objectively. This guide will walk you through using spreadsheet filters to track and compare QC pass rates across different suppliers.
Step-by-Step Guide to Analyzing Seller Consistency
Step 1: Import Your QC Data
Begin by importing your quality control data into the OrientDig spreadsheet. Ensure your data includes:
- Seller names/IDs
- Inspection dates
- Product categories
- QC pass/fail status
- Defect types (if applicable)
Step 2: Activate Seller Filtering
Navigate to the "Sellers" column header and click the filter icon. This enables you to:
- Select specific sellers for individual analysis
- Group sellers by performance tiers
- Compare sellers within the same product category
Step 3: Apply Date Range Filters
Use the date filter to analyze seller performance over different time periods:
- Compare monthly or quarterly performance
- Identify trends in quality consistency
- Spot seasonal variations in product quality
Step 4: Calculate Pass Rates
The spreadsheet automatically calculates QC pass rates using the formula:
(Number of Passed Inspections ÷ Total Inspections) × 100
These calculations update dynamically as you apply different filters.
Advanced Analysis Features
Comparative Analysis Dashboard
Use the built-in dashboard to visualize seller performance side-by-side. The system generates:
- Bar charts showing pass rates across sellers
- Trend lines for historical performance
- Performance alerts for significant drops in quality
Custom Performance Thresholds
Set minimum acceptable pass rates for different product categories:
- Define "Green Zone" sellers (≥95% pass rate)
- Identify "Yellow Zone" sellers (85-94% pass rate)
- Flag "Red Zone" sellers (<85% pass rate)
Best Practices for Ongoing Monitoring
Regular Review Cycles
Establish consistent review periods to monitor seller performance:
- Weekly: Spot immediate quality issues
- Monthly: Track medium-term consistency
- Quarterly: Evaluate long-term reliability
Multi-Dimensional Analysis
Combine multiple filters for comprehensive insights:
- Seller + Product Category + Time Period
- Seller + Defect Type + Volume
- Multiple sellers comparison within same parameters
Maximize Your Sourcing Strategy
By regularly using OrientDig's spreadsheet filters to analyze QC pass rates, you can make data-driven decisions about which sellers to prioritize, which need improvement, and which should be replaced. This systematic approach to seller reliability analysis helps reduce quality issues, minimize supply chain disruptions, and build stronger supplier relationships based on objective performance metrics.