OrientDig Spreadsheet: Integrating QC Ratings with Payment History
In global sourcing and supply chain management, data silos are a major obstacle to clarity. By linking Quality Control (QC) results directly with transaction payment history, businesses can unlock powerful insights into the fundamental relationship between price, quality, and delivery success. The OrientDig Spreadsheet methodology provides a practical framework for this integration.
The Challenge: Disconnected Data Points
Traditionally, QC reports, purchase orders, invoices, and payment records reside in separate systems or files. This disconnect makes it difficult to answer critical questions:
- Are we paying a premium for higher-quality goods, and is the correlation consistent?
- Do suppliers with a history of on-time delivery consistently receive better QC scores?
- Which suppliers offer the best value—combining acceptable quality with reliable delivery and fair pricing?
Without combining these datasets, sourcing decisions rely on incomplete information.
The Solution: A Unified Data Model
The OrientDig Spreadsheet approach creates a single source of truth by structuring key data fields in a linked manner. The core relationship is built between the Supplier Transaction RecordQC Inspection Record.
| Supplier & Transaction Data | QC Inspection Data | Linked Analysis Fields |
|---|---|---|
| Supplier ID/Name | QC Report ID | Unique Key: |
| PO Number & Date | PO Number (for linking) | Product SKU/Item Code |
| Product Description & Unit Price | Product Sample Evaluated | Inspection Date vs. Ship Date |
| Order Quantity, Total Value | Defect Categories & Counts | Pass/Fail Status |
| Agreed Delivery Date, Actual Delivery Date | Overall Quality Score (e.g., A-F, 1-100) | On-Time Delivery (Yes/No) |
| Payment Terms, Actual Payment Date | Inspector Comments & Photos | Payment Delay (if any) |
Implementation Workflow
- Data Consolidation:PO Number
- Calculated Metrics:
Delivery Performance: =IF(ActualDate<=PromisedDate, "On-Time", "Delayed")Value Index: A simple formula weighting Quality Score vs. Unit Price (e.g., (QualityScore/Price)*10).Payment Compliance: =IF(ActualPaymentDate<=DueDate, "On-Time", "Delayed").- Pivot Analysis & Visualization:
- Chart: Average Quality Score (Y-axis) vs. Average Unit Price (X-axis) per Supplier.
- Chart: On-Time Delivery Rate (%) vs. Average Payment Delay (Days) per Supplier.
- Filter: Show all transactions where QC Failed but Payment was released early, flagging process gaps.
- Calculated Metrics:
Actionable Insights and Benefits
By combining QC and payment data, you move from reactive problem-solving to proactive supplier management.
Supplier Stratification
Classify suppliers into strategic segments: High-Value PartnersRisky VendorsCost Leaders
Predictive Negotiation
Data-driven evidence strengthens contract discussions. For a supplier with high quality but frequent delivery delays, you can negotiate tighter terms rather than just seeking a price cut.
Process Alignment
Identify if payment releases are inadvertently being made before QC results are approved, creating financial risk. Align internal workflows to mitigate this.
Conclusion
The OrientDig Spreadsheet method transforms isolated compliance and financial data into a dynamic decision-support tool. Linking QC ratings with payment history
Start by integrating data from your last fiscal quarter. The patterns you discover will likely change how you evaluate supplier performance forever.