Leverage Data Filters and Visual Charts to Optimize Your Sourcing Decisions
Introduction: The Power of Data-Driven Sourcing
On platforms like PinguBuy, choosing the right seller is crucial for business success. Beyond instinct, a systematic analysis of seller performance data provides a clear competitive edge. By exporting order data into a spreadsheet (e.g., Microsoft Excel or Google Sheets), you can transform raw information into actionable insights. This guide will show you how to use filterscharts
Step 1: Structuring Your Data
Begin by exporting your order history from PinguBuy. Ensure your spreadsheet has clear columns for each performance dimension. A typical structure includes:
- Seller Name/ID:
- Order Date:
- QC Pass/Fail Rate:
- Product Price & Shipping Cost:
- Promised Delivery Date & Actual Delivery Date:
- Order Status:
- Order Date:
Step 2: Applying Filters for Targeted Analysis
Use your spreadsheet's filter function to isolate and compare specific seller data.
Analyzing QC Accuracy:
Apply a filter to the "Seller Name" column. For each selected seller, filter the "QC Status" column to count "Pass" vs. "Fail" orders. Calculate a QC Accuracy Rate
Filter by product category or SKU to ensure a like-for-like comparison. With sellers offering the same product visible, create a new column for "Total Cost" (Product Price + Shipping). Use filters to view sellers side-by-side and identify consistently competitive or premium-priced vendors. Create a calculated column titled "Delivery Delay" (Actual Delivery Date - Promised Delivery Date). Filter by seller to see the average delay, standard deviation (consistency), and trends over time. Filter out exceptional events (e.g., holidays) for a fair assessment.Comparing Product Pricing:
Evaluating Delivery Timelines:
Step 3: Creating Visual Charts for Clear Insights
Charts turn filtered data into intuitive, comparable visuals.
For QC & Pricing: Use Column or Bar Charts
Create a clustered column chart plotting Sellers on the horizontal axisQC Accuracy Rate (%) on the vertical axis. This provides an instant snapshot of quality leaders. For pricing, a similar bar chart comparing the "Average Total Cost" per seller for a specific product is highly effective.
For Delivery Trends Over Time: Use Line Charts
Plot a multi-line chart with Order Date on the horizontal axisAverage Delivery Delay (in days) on the vertical axis. Assign a unique line to each key seller. This reveals which vendors are improving, deteriorating, or maintaining stable delivery performance over months.
Holistic View: Combination Charts
For a dashboard-style view, place a QC accuracy chart, an average cost chart, and an on-time delivery percentage chart for the same set of sellers next to each other. This multi-angle comparison highlights the best all-around performers.
Step 4: Making Data-Backed Decisions
With your analysis complete, you can now segment sellers strategically:
- High-Performance Partners:
- Cost-Optimization Candidates:
- Development Projects:
- Risky Vendors:
- Cost-Optimization Candidates: