In the world of global sourcing and procurement, vendor performance is paramount. A single high-risk supplier can disrupt your supply chain, damage your brand reputation, and erode profits. Traditional vendor assessment can be slow and subjective. This guide outlines a systematic, data-driven approach to automatically flag sellers
By tracking the following key metrics in a centralized spreadsheet (like Google Sheets or Microsoft Excel), you can transform raw data into actionable risk intelligence. This metric tracks the percentage of inspected shipments that fail quality control standards over a defined period. Measures the vendor's reliability in meeting agreed-upon shipment deadlines. Reflects the end-customer's satisfaction with the product and the accuracy of the order fulfillment. Consolidation is key. Create a master vendor tracking sheet with the following columns: Feed data from your QC reports, logistics tracking, and sales platform into this master sheet, either manually or via automated imports. Define clear thresholds for each metric. Then, use a formula to create an Overall Risk Score. A simple weighted average works well: Use Conditional FormattingIF Statements
By leveraging spreadsheet metrics to automatically flag sellers with repeated QC failures, late shipments, or high refund rates, you shift from a reactive to a proactive procurement strategy. This system provides an unbiased, data-backed foundation for vendor reviews, negotiations, and ultimately, building a more resilient and high-performing supply chain for your business. Next Step:
The Three Core Risk Indicators
1. Repeated QC Failure Rate
2. On-Time Shipment Rate
3. Customer Refund & Return Rate
Building Your Automated Risk Assessment Sheet
Vendor ID
Vendor Name
QC Failure Rate (%)
On-Time Shipment Rate (%)
Refund Rate (%)
Overall Risk Score
Status Flag
V-1024
Example Electronics Co.
12%
82%
8%
High
⚠️ REVIEW
Step 1: Data Aggregation
Step 2: Set Thresholds & Formulas
Risk Score = (QC_Failure * 0.4) + (Late_Shipment * 0.3) + (Refund_Rate * 0.3)Step 3: Implement Automatic Flagging
=IF(Overall_Risk_Score 0.7, "HIGH RISK", IF(Overall_Risk_Score 0.4, "MEDIUM", "LOW"))
Proactive Management, Not Reactive Firefighting
ACBUY: How to Identify High-Risk Vendors Using Spreadsheet Metrics
2026-01-02