Home > KAKOBUY: Mastering Multi-Store Analysis with the KAKOBUY Spreadsheet Pivot Tables

KAKOBUY: Mastering Multi-Store Analysis with the KAKOBUY Spreadsheet Pivot Tables

2026-02-03

Aggregate data from different sellers to identify trends and optimize future orders.

The Challenge of Multi-Source Data

For procurement professionals and business owners using KAKOBUY, managing inventory and sales data from multiple sellers or storefronts can be overwhelming. Data often arrives in fragmented reports, making it difficult to see the bigger picture. How do you combine these streams of information to make informed, strategic decisions?

The solution lies within a powerful, often underutilized tool: the Pivot Table. In your KAKOBUY Spreadsheet, pivot tables transform disjointed data into clear, actionable insights.

Step-by-Step: Creating Your Multi-Store Analysis Pivot Table

  1. Prepare Your Consolidated Data

    First, compile sales, inventory, or order data from all your sellers into a single sheet. Ensure each row represents a transaction or item and columns have clear headers like: Seller Name, Product SKU, Category, Units Sold, Revenue, Date, and Store Region.

  2. Insert a Pivot Table

    Highlight your data range and select Insert     Pivot Table. Choose to place it in a new worksheet for a clean analysis workspace.

  3. Configure Your Analysis

    Use the Pivot Table Field List to drag and drop:

    • Rows:Product SKUCategory
    • Columns:Seller Name
    • Values:Units SoldRevenue
    • Filters (Optional):DateStore Region

Identifying Trends & Optimizing Orders

With your pivot table built, key trends immediately become visible:

Trend Identified Insight & Action
Top-Performing Sellers by Category Identify which sellers consistently provide best-selling items in specific categories. Use this to consolidate orders and negotiate better terms.
Seasonal Demand Patterns Use the Date filter to see which products peak with which sellers. Optimize order timings and quantities to avoid stockouts or overstock.
Regional Seller Preference If you have store region data, discover if certain sellers' products perform better in specific locations. Tailor local inventory accordingly.
Profit Margin Analysis Add a calculated field for profit or incorporate cost data to see which seller-product combinations yield the highest margins.

Best Practices for KAKOBUY Pivot Tables

  • Refresh Data Regularly:
  • Create Multiple Views:
  • Visualize with Charts:
  • Maintain Clean Source Data:

Conclusion

Leveraging Pivot Tables in your KAKOBUY Spreadsheet