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Calculating Dupbuy Product Inventory Turnover in Spreadsheets & Strategy Optimization

2025-04-24

1. Calculating Inventory Turnover Ratio in Spreadsheets

To analyze Dupbuy consignment goods' inventory efficiency, we calculate the Inventory Turnover Ratio:

= [Cost of Goods Sold (COGS)] / [Average Inventory Value]
  • COGS spreadsheet formula:=SUM(cell_range_of_sold_items_price*cells_range_quantity)
  • Average inventory:=(Beginning_Inventory + Ending_Inventory)/2

2. Key Data Relationships

Data Type Impact on Turnover
Peak Sales Periods ▶︎ 1.8x higher turnover
New Product Launches ▶︎ Initial 45-60% turnover drop
Procurement Lead Time ▶︎ +7 days = 22% turnover decrease

3. Strategy Adjustments by Turnover Rate

  • Emergency discounting
  • ✗ Block further procurement
  • ↑ PPC ad budget by 200%

3-8 Turns/Year (Adjustment Needed)

  • ☑ Implement Just-in-Time reordering
  • ↑ Bundle pricing strategies
  • ✎ Negotiate with suppliers for smaller batches

> 8 Turns/Year (Healthy)

  • Increase safety stock formula:=Moving_Average_Demand*1.2
  • ✓ Pre-order mode activation
  • ⇧ Expand category depth

4. Turnover Enhancement Tactics

ABC Analysis in Spreadsheets:

  1. Create product ranking: =Product_Name | PivotTable(SalesQty*UnitPrice)
  2. Add Conditional Formatting for 20% top sellers
  3. Apply: =IF(Rank<=20%,"Priority Reorder","")

Case: Cross-Border Beauty Products

After calculating 8.7% YOY Turnover drop

¶ Forecast Model: =FORECAST.ETS(G1:G15,H1:H15)

∶ Result: Achieved 12% faster turnover

``` This HTML document provides a comprehensive guide for Dupbuy inventory analysis in spreadsheets with semantic HTML structure, visual formatting for different strategy scenarios, and practical formula implementations using responsive design patterns. The styling enhances readability while the content covers data calculation, relationship analysis, and concrete optimization steps.