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ACBUY: Mastering SKU-Level Performance Across Multiple Orders

2026-01-05

A Data-Driven Guide to Optimize Your Inventory Selection

In today's competitive e-commerce landscape, successful sourcing goes beyond finding a good supplier. The true key to profitability lies in tracking performance at the most granular level: the SKU (Stock Keeping Unit). By analyzing data across multiple orders, you can transform random purchases into a refined, high-performing inventory portfolio. This guide outlines the core metrics to monitor.

1. Monitor Item Popularity & Sales Velocity

Goal:

  • Track Unit Sales per SKU:
  • Calculate Sell-Through Rate:
  • Analyze Trends:
Chart Placeholder: Sales Velocity Over Time by SKU

2. Assess Quality Control (QC) Success Rate

Goal:

  • Record QC Pass/Fail by SKU:
  • Identify Defect Patterns:
  • Supplier Scoring:
Table Placeholder: SKU | Supplier | QC Pass Rate % | Common Defects

3. Track Refund & Return Frequency

Goal:

  • Calculate Refund Rate by SKU:
  • Categorize Return Reasons:
  • True Profit Calculation:
Chart Placeholder: Refund Rate % vs. Profit Margin by SKU

Synthesizing Data for Inventory Optimization

Consolidate these three metrics into a single SKU Health Dashboard. Use it to make strategic decisions:

SKU Health Profile Action Result
High Popularity, High QC, Low Refunds Increase Stock, Prioritize Reorder Maximize revenue from proven winners.
High Popularity, Low QC, High Refunds Find New Supplier, Improve Listing, or Discontinue Fix a leaking bucket or stop the loss.
Low Popularity, High QC, Low Refunds Review Marketing & Positioning Potentially unlock a niche product with good quality.
Low Popularity, Low QC, High Refunds Discontinue & Clear Stock Free up capital and storage for better performers.

Conclusion: Build a Data-Driven Sourcing Cycle

By systematically tracking SKU-level performance across all orders, you move from reactive buying to proactive inventory management. This continuous loop of Measure → Analyze → Optimize

Start building your SKU dashboard today—your most profitable inventory decisions are hidden in your data.