Skip to main content

Metrics FAQ

What are the primary datasets available, and what do they represent?
  • Product: Stock management and product metrics.
  • Sales: Transaction and revenue data.
  • Marketing: Campaign performance metrics.
  • CRM: Customer relationship data.

Each dataset contains specific metrics related to its business function.

How are metrics categorized by 'Group By Levels'?

Metrics can be segmented by various levels:

  • Overall: Complete dataset view.
  • Date: Time-based analysis.
  • Vendor: Supplier-specific data.
  • Brand: Brand-level metrics.
  • Category: Product category analysis.
  • Location: Geographic segmentation.
  • Region: Regional performance data.

These levels allow for granular data analysis based on specific needs.

Product Metrics​

What is 'Unique Stock Keeping Units (SKUs)' and how is it calculated?

This metric counts unique products in your catalog. It can be grouped by:

  • Overall: Total catalog count.
  • Vendor: Products per supplier.
  • Brand: Brand-specific counts.
  • Category: Category-wise distribution.
How is 'Product Availability Rate' useful?

Product Availability Rate shows the percentage of available products in your catalog. It can be grouped by:

  • Vendor: Track supplier reliability.
  • Brand: Monitor brand availability.
  • Category: Assess category performance.

This helps identify supply chain strengths and weaknesses.