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Total Correction Metric

Essential knowledge

Intended Audience:

Business User

Author:

Movyn John

Changed on:

13 Nov 2025

Overview

Learn about the Total Correction Metric in Fluent Analytics

Key points

  • On hand inventory is offset by any corrections and thereby reduces the total availability to sales channels
  • Product issues or location processes can result in higher correction quantities

What it measures

Total inventory adjustments made to correct discrepancies between system and physical counts in the selected time period.

No alt provided

When to use this metric

  • Monitor corrected quantities arising from rejections and short picks at fulfilling locations
  • Assess inventory inaccuracy issues by locations/products

How to interpret

  • Good performance: Low levels of correction quantities
  • Potential issues: High levels of corrections potentially indicate inventory discrepancies and/or trends by product/location
  • Benchmark guidance: Lowering correction quantities has a direct impact on lowering rejection rates

Technical details

Formula: 

SUM(ABS(inventoryQuantity.qty)) where type = {TYPE_CORRECTION} within the selected time period

Configuration:

  • TYPE_CORRECTION: Type definitions for inventory quantity corrections (default: CORRECTION)

Reference Parameters:

  • `retailer.ref`: Filters the metric to inventory positions from the selected retailer
  • `location.ref`: Filters the metric to inventory positions for the selected location
  • `inventory_catalogue.ref`: Filters the metric to inventory for the selected inventory catalogue
  • `inventory_position.product_name`: Filters the metric to inventory positions for the selected product