Home > GTBuy: Visualizing QC and Shipping Performance Through Charts

GTBuy: Visualizing QC and Shipping Performance Through Charts

2026-01-21

In the fast-paced world of e-commerce and supply chain management, data-driven decision-making is key. For platforms like GTBuy, effectively monitoring Quality Control (QC) and Shipping Performance is critical for operational efficiency and customer satisfaction. Using simple spreadsheet graphs can transform raw data into actionable insights. Here’s how to visualize average inspection times, refund ratios, and parcel delivery success rates.

1. Monitoring Average Inspection Time with a Line Chart

Purpose:

How to Visualize:

  • Chart Type:Line ChartBar Chart.
  • X-Axis:
  • Y-Axis:
  • Actionable Insight:
[Line Chart Example: Showing trend of Average Inspection Time over 12 weeks]

2. Tracking Refund Ratio with a Combo Chart

Purpose:

How to Visualize:

  • Chart Type:Combo Chart
  • X-Axis:
  • Primary Y-Axis (Columns):
  • Secondary Y-Axis (Line):
  • Actionable Insight:
[Combo Chart Example: Columns for Refund Count and a Line for Refund Ratio % across different months]

3. Measuring Parcel Delivery Success Rate with a Gauge or Pie Chart

Purpose:

How to Visualize:

  • For Overview:Gauge Chart
  • For Breakdown:Pie ChartStacked Bar Chart
  • Actionable Insight:
[Gauge Chart Example: Showing 96.5% Success Rate]
[Pie Chart Example: Showing 96% Successful, 3% Failed, 1% In-Transit]

Implementation Tips for GTBuy

  • Centralize Data:
  • Automate Where Possible:
  • Create a Dashboard:
  • Schedule Regular Reviews:

For GTBuy, powerful visualization doesn’t require complex software. By strategically employing line charts, combo charts, and gauge charts in spreadsheets, you can create a transparent, real-time picture of your QC and shipping performance. This visual approach not only simplifies monitoring but also empowers your team to swiftly address issues, optimize processes, and ultimately enhance the customer experience.