Skip to main content
All CollectionsReplenish
What do fantastic, moderate, poor, and idle mean?
What do fantastic, moderate, poor, and idle mean?

Learn about the performance indicators for products and variants

Bahadir Efeoglu avatar
Written by Bahadir Efeoglu
Updated this week

What is ABC Analysis in Fabrikatör?

ABC Analysis is an inventory categorization method that Fabrikatör uses to classify your products based on their sales performance. This helps you make more informed inventory decisions by identifying which products contribute most to your revenue.

How Fabrikatör classifies your products

Fabrikatör analyzes the last 30 days' performance of each variant. Based on their revenue contribution during this period, products are classified into these performance categories:

In the last 30 days:

  • Fantastic (A-class): Products with this tag account for the top 80% of your store revenue

  • ⚖️ Moderate (B-class): Products with this tag account for the following 15% of your store revenue

  • ☹️ Poor (C-class): Products with this tag account for the last 5% of your store revenue

  • Idle: Products that did not make any sales

Why does this classification matter?

ABC Analysis follows the Pareto Principle (80/20 rule), which suggests that a small percentage of your products likely generate most of your revenue. By identifying which products fall into which categories, you can make smarter inventory decisions and allocate your resources more efficiently.

How to use performance indicators effectively

Performance indicators are invaluable when restocking or reviewing your inventory. Here's how to leverage these indicators when setting up your Fabrikatör account:

✨ Fantastic products (A-class)

  • These are your bestsellers and most preferred by customers

  • Recommendation: Set "days of stock" 20% higher than your lead time

  • Example: If lead time is 100 days, days of stock should be 120 days

  • Why: These products drive most of your revenue, so stockouts would significantly impact your business

⚖️ Moderate products (B-class)

  • These products are in a transition stage - they could become fantastic or drop to poor

  • Recommendation: Set "days of stock" at least equal to lead time, but not exceeding fantastic products

  • Why: Your expertise about seasonality, trends, and customer preferences is crucial for these products

☹️ Poor products (C-class)

  • These are not very promising in terms of revenue contribution

  • Recommendation: Set "days of stock" equal to lead time or 10% less

  • Why: Focus on selling existing inventory and avoid restocking in large amounts

  • If these products run out of stock, they won't significantly impact your revenue

✋ Idle products

  • No sales in the last 30 days - a strong indicator of poor performance

  • Recommendation: Keep days of stock to absolute minimum

  • Why: Protects you from overstocking items that aren't selling

Filtering products by performance indicator

You can easily filter products by their performance indicators on the Replenish page:

  1. Click the "Filter" button next to the search input

  2. Select "Sales Performance" from the filter options

  3. Choose the performance indicator(s) you want to view

  4. Click "Add Filter"

This allows you to quickly focus on specific product categories when making inventory decisions.

Frequently Asked Questions

  • How can I change the ABC settings, such as the percentage and analysis period?

  • Why do ABC analysis badges appear differently on Reports vs. Replenish screens?

    • On Reports

      • ABC analysis is based on product groups by default

      • A product group can be classified as Fantastic (A-class) even if it contains some idle variants

      • The classification considers the aggregate performance of all variants within the product group

      On Replenish and PO Screens

      • ABC analysis is displayed at the variant level

      • Each individual variant has its own performance classification

      • You might see different badges for variants within the same product group

Did this answer your question?