Managing inventory and sales across multiple sellers (e.g., Amazon, Shopify, eBay, brick-and-mortar) typically means dealing with inconsistent reports. Each source provides data on units sold, revenue, returns, and geographic performance, but in isolation. Without consolidation, identifying overarching trends is nearly impossible, leading to:

• Stock imbalances (overstocking in one channel, stockouts in another).
• Inability to spot best-selling products across the entire network.
• Reactive rather than proactive order planning with suppliers.

The Solution: Consolidation and Pivot Table Analysis

The first step in the KAKOBUY methodology is to create a master spreadsheet. Structure your raw data from all sellers with consistent columns, such as: Date, Seller/Store, Product SKU, Product Name, Region, Units Sold, Revenue, and Return Rate.

Step-by-Step: Building Your Analysis Pivot Table

1. Create Your Data Source:QUERY{}
2. Insert a Pivot Table:Insert     Pivot Table.
3. Configure Key Fields to Unlock Insights:
   • Rows:Product NameSKU
   • Columns:Seller/Store
   • Values:Units SoldRevenueReturn Rate
   • Filters:DateRegion