For businesses leveraging platforms like GTBuy, maintaining a systematic record of seller performance is crucial for informed, long-term sourcing decisions. A well-structured spreadsheet, powered by conditional formatting, can transform raw data into an actionable performance dashboard. Here’s how to build one.
Step 1: Establish Your Core Data Structure
Create a spreadsheet with the following core columns for each order or periodic assessment:
- Seller ID/Name
- Order Date
- Delivery Score
- QC Score
- Overall Performance Score
- Comments/Notes
- QC Score
Step 2: Calculate Long-Term Averages
Dedicate a separate "Seller Summary"AVERAGEIFS
Example: =AVERAGEIFS(RawData!C:C, RawData!A:A, Summary!A2) // Avg Delivery Score for Seller in A2
Step 3: Implement Conditional Formatting for Instant Insights
This is where your log becomes visual. Apply rules to the average score columns
For Highlighting Top Performers:
For Risk Identification:
Step 4: Maintain & Review
Consistently log new transaction data. The conditional formatting will update dynamically, providing a real-time visual map of your supply chain health. Periodically review sellers flagged in yellow or red to make data-driven decisions on coaching or sourcing.
Conclusion
By moving beyond simple record-keeping to a dynamic, formatted performance log, you empower your GTBuy strategy with clarity. Conditional formatting turns numbers into narratives, highlighting reliable partners and signaling where attention is needed, ultimately fostering stronger, more resilient supplier relationships.