For advanced buyers in the sourcing world, managing relationships with multiple sellers is key to long-term success. The Hoobuy Spreadsheet
Juggling data from different platforms and communications is inefficient. The Hoobuy multi-seller spreadsheet provides: Structure is crucial. Create the following core columns to capture essential data: With data populated, move beyond simple tracking to actionable insights. Use your spreadsheet's charting tool to plot each seller's QC Pass Rate (%) over time. A downward trend is a red flag, while steady improvement indicates a reliable partner. Create a benchmark line (e.g., your minimum acceptable rate of 95%) for quick visual comparison. Calculate the average QC Pass Rate and On-Time Rate
Use the "QC Fail Reasons" column to perform a text analysis. Create a pivot table or filter to see which issues (e.g., "packaging", "size deviation") occur most frequently with which sellers. This allows you to target specific improvement requests. Assign weights to your key metrics based on your priorities. For example: Calculate a weighted overall score
The Hoobuy multi-seller spreadsheet is more than a log; it's a strategic asset. By diligently tracking and analyzing this data, you transition from reactive buying to proactive supply chain management. You can confidently negotiate with underperforming sellers using concrete evidence, reward and increase orders with top performers, and ultimately build a supplier portfolio renowned for its reliability and quality. Start your analysis today and make long-term reliability a measurable goal.Why Use a Centralized Spreadsheet?
Setting Up Your Multi-Seller Analysis Spreadsheet
Column Header
Data To Input
Purpose
Seller ID/Name
Seller's store name and contact.
Primary identifier for all analysis.
Product Category
e.g., Electronics, Apparel, Home Goods.
Track performance by product type.
Order Date & PO Number
Date and unique Purchase Order ID.
Reference for specific transactions.
QC Pass Quantity
Number of units passing inspection.
Key metric for reliability.
QC Fail Quantity & Reasons
Number failed and details (e.g., "scratches", "wrong color").
Identifies recurring quality issues.
QC Pass Rate (%)
Formula: (Pass Qty / Total Qty) * 100.
The core performance KPI.
Shipping On-Time Rate
Yes/No or percentage.
Measures logistical reliability.
Communication Score
Rating (1-5) for responsiveness and clarity.
Assesses service quality.
Overall Rating
Weighted score based on the above metrics.
Final composite grade for the seller.
Performing Advanced Analysis for Long-Term Reliability
1. Track Trends with Charts and Graphs
2. Calculate Averages and Compare
3. Analyze Failure Reasons
4. Develop a Weighted Scoring Model
Turning Data into a Competitive Advantage
Hoobuy Spreadsheet Mastery: A Guide to Multi-Seller Performance Analysis
2026-01-05