A systematic approach to building a trusted supplier network by tracking performance data.
In global sourcing, consistent seller reliability is the cornerstone of a successful supply chain. The RizzitGo Spreadsheet
The Three Pillars of Reliability Analysis
Build your analysis on these critical, measurable pillars within your RizzitGo spreadsheet.
1. QC Success Rate
Definition:
How to Track:(Number of QC-Passed Orders / Total Orders) * 100.
Analysis Insight:95%) indicates robust manufacturing control. Fluctuations or declines signal potential issues in production consistency or materials.
2. Communication Quality
Definition:
How to Track:
Analysis Insight:
3. On-Time Delivery (OTD) Rate
Definition:
How to Track:Promised DateActual Ship Date. Calculate: (On-Time Shipments / Total Shipments) * 100.
Analysis Insight:98%) minimize supply chain disruption and demonstrate strong logistical management.
Building & Using Your RizzitGo Spreadsheet
A simple table structure transforms raw data into actionable intelligence.
| Vendor Name | Order ID | QC Result | Comm Score (1-5) | On-Time? (Y/N) | Quarterly Reliability Score |
|---|---|---|---|---|---|
| Supplier A | RA-2023-001 | Pass | 5 | Y | 98% |
| Supplier A | RA-2023-002 | Pass | 4 | Y | |
| Supplier B | RA-2023-003 | Fail | 2 | N |
From Data to Decision: Action Steps
- Consistent Entry:
- Quarterly Review:
- Scorecard Creation:
- Segment Sellers:"Strategic Partners," "Development Needed,""High Risk."
- Proactive Collaboration:
The Strategic Advantage
The RizzitGo spreadsheet is more than a log; it's a strategic asset. Transforming subjective impressions into objective data empowers you to:
- Concentrate order volume on top-performing sellers.
- Hold constructive performance reviews with vendors using hard data.
- Anticipate and mitigate supply chain risks before they cause delays.
- Build a resilient, transparent, and highly reliable supplier network over time.
Start tracking today. Your most dependable sellers—and your most profitable supply chain—will reveal themselves through the data.