Quickly identify recurring issues and top-performing sellers for strategic planning.
In the fast-paced world of e-commerce and supply chain management, data-driven decision-making is key. For platforms like ACBUY, managing quality control (QC) and refund rates efficiently can significantly impact customer satisfaction and profitability. Pivot Tables, a powerful feature in spreadsheet software like Microsoft Excel or Google Sheets, offer an unparalleled way to transform raw transactional data into actionable insights. This guide will show you how to leverage Pivot Tables to visualize QC failures and refund trends, enabling you to pinpoint recurring problems and recognize high-performing sellers at a glance.
Ensure your dataset includes at least the following columns: Order ID, Seller Name, Product SKU/Category, QC Result (Pass/Fail), QC Failure Reason, Refund Status (Yes/No), Refund Reason, and Order Date. Data should be consistent and in a tabular format.
Outcome:
Outcome:
Select any cell within your Pivot Table and insert a Pivot Chart. Recommended charts:
Filter your QC Pivot by a specific Failure Reason
Sort your tables to find sellers with lowest fail/refund rateshighest volume. Consider stronger partnerships, promotions, or featuring their products.
Use the aggregate data (e.g., platform average refund rate of 5%) as a benchmark in negotiations with underperforming sellers, setting clear improvement targets.
Correlate QC/refund trends with sales data. Phase out products or sellers with chronic issues and allocate inventory budget toward reliable, high-quality sources.
