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OrientDig: The OrientDig Spreadsheet — Integrating QC Ratings with Payment History

2025-12-08

A Practical Guide to Linking Quality Control and Transaction Data for Smarter Sourcing Decisions

The Challenge: Disconnected Data in Sourcing

In global sourcing and supply chain management, critical data often resides in separate silos. Your Quality Control (QC) reportstransaction/payment history

The OrientDig Spreadsheet methodology provides a framework to bridge this gap, enabling a data-driven understanding of the core procurement trifecta: Price, Quality, and Delivery Success.

The Solution: A Structured Merge in Three Steps

By combining these datasets, you move from reactive problem-solving to proactive supplier management and cost optimization.

Step 1: Data Preparation & Structuring

  • QC Data Sheet:Supplier_ID, PO_Number, Inspection_Date, QC_Score (e.g., 85%), Major_Defects, Pass/Fail Status, Inspector_Notes.
  • Payment History Sheet:Supplier_ID, PO_Number, Item_Price, Total_Cost, Promised_Delivery_Date, Actual_Delivery_Date, Payment_Terms, Payment_Status.
  • Ensure a common, unique identifier (like PO_Number) exists in both sheets to enable accurate linking.

Step 2: Combining Datasets Using Lookup Functions

In your master OrientDig Spreadsheet, use functions like VLOOKUP, XLOOKUP, or INDEX-MATCH

Example:QC_ScorePass/Fail StatusItem_PriceOn-Time_Delivery

Step 3: Analysis & Insight Generation

With combined data, you can now create powerful pivot tables and charts to answer strategic questions:

Question to Explore Data Relationship Analyzed Potential Action
Do higher-priced suppliers consistently deliver higher quality? Plot Item PriceAverage QC Score Validate cost-for-quality value; identify overpaying or underperforming partners.
How does delivery punctuality correlate with product quality? Correlate On-Time Delivery %Pass Rate. Identify if rushed shipments lead to more defects, or if reliable suppliers excel in both areas.
What is the true cost of a "failed" QC inspection? Sum Total Costs Build a business case for investing in preventative quality measures.
Which suppliers offer the best overall value? Create a composite score weighting Price, QC Score, and On-Time Delivery. Objectively tier suppliers and allocate future order volume strategically.

Benefits of the Integrated Approach

Holistic Supplier Evaluation

Move beyond price-centric reviews to a balanced scorecard assessing quality, reliability, and cost.

Predictive Risk Mitigation

Identify patterns (e.g., declining QC scores with a supplier) to anticipate and prevent issues before orders are placed.

Negotiation Leverage

Support price or term negotiations with concrete data on historical quality performance and delivery reliability.

Process Optimization

Determine if paying a premium for faster shipping is justified by comparing the cost against the quality and delivery outcomes of standard shipments.

Getting Started with Your OrientDig Spreadsheet

Begin with a pilot. Select a key product category or a set of primary suppliers. Manually or automatically combine the last 12-24 months of QC and payment data. The initial effort to structure and merge will quickly pay dividends in clarity and control.

Pro Tip:"Failed" QC status paired with a high unit cost.

By linking QC results with transaction data, the OrientDig Spreadsheet transforms from a record-keeping tool into a strategic dashboard for supply chain excellence. Start combining, and start uncovering the true drivers of your sourcing success.


© OrientDig Sourcing Intelligence. This methodology is part of the broader OrientDig toolkit for data-driven procurement and supplier relationship management.