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“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
Segmenting inventory turnover by product category reveals performance patterns that overall turnover metrics can mask, providing actionable insights for category-specific inventory management strategies.
You’ll learn how to create dynamic category analysis using live NetSuite data that automatically updates your segmented turnover calculations as new transactions flow through your system.
Create dynamic category segmentation using Coefficient
Coefficient provides powerful segmentation capabilities for inventory turnover analysis by product category, offering more flexibility than NetSuite’s rigid reporting structure. While NetSuite saved searches can group by category, they lack the dynamic analysis capabilities that Coefficient enables in Google Sheets.
How to make it work
Step 1. Import segmentation data from NetSuite.
Import Item records with Category, Item Type, and Custom Classification fields using Coefficient’s Records & Lists, and pull Transaction records with Item references to calculate category-specific COGS. Use Coefficient’s field selection to include all relevant segmentation fields like Product Line, Item Group, and Department for comprehensive analysis.
Step 2. Build category-specific calculation formulas.
Create category-specific calculations using SUMIFS and AVERAGEIFS functions: Category COGS with =SUMIFS(Transaction_Cost, Item_Category, “Electronics”, Transaction_Date, “>=”&TODAY()-365), Category Average Inventory using =AVERAGEIFS(Inventory_Value, Item_Category, “Electronics”), and Category Turnover as =Category_COGS/Category_Average_Inventory.
Step 3. Set up advanced segmentation analysis.
Create multi-level segmentation by combining Category + Location using =SUMIFS(Cost_Range, Category_Range, “Electronics”, Location_Range, “Warehouse A”). Use NetSuite custom fields imported through Coefficient for unique business segmentation, and add date-based segmentation for seasonal category performance analysis.
Step 4. Build automated reporting dashboards.
Create pivot tables that automatically update with Coefficient’s data refreshes and build category comparison charts that refresh with live NetSuite data. Set up conditional formatting to highlight underperforming categories and create summary metrics that provide quick category performance insights.
Start analyzing category performance today
This approach provides comprehensive category-level inventory turnover analysis that updates automatically as NetSuite data changes, revealing insights that overall metrics can’t provide. Begin segmenting your inventory analysis with Coefficient.
