INV Cycle count hit/miss analysis – Oracle EBS SQL Report

Oracle E-Business Suite SQL report from the Enginatics Library powered by Blitz Report™.

Overview

Imported Oracle standard Cycle count hit/miss analysis report Source: Cycle count hit/miss analysis (XML) Short Name: INVARHMA_XML DB package: INV_INVARHMA_XMLP_PKG

Report Parameters

Organization Code, Cycle Count Name, Count Date From, Count Date To

Oracle EBS Tables Used

mfg_lookups, mtl_abc_classes, mtl_cycle_count_classes, mtl_item_locations_kfv, mtl_system_items_vl, org_organization_definitions, gl_ledgers, mtl_cycle_count_headers, org_access_view, mtl_cycle_count_items, mtl_cycle_count_entries

Report Categories

Enginatics

Related Reports

INV Cycle count open requests listing, INV Cycle count unscheduled items, INV Cycle count entries and adjustments, INV Cycle counts pending approval, INV Cycle count listing, INV Item Upload, INV Items, CAC Deferred COGS Out-of-Balance

Running This SQL Without Blitz Report

Some Oracle EBS SQL reports in this library require functions from the utility package xxen_util. Install it before running the SQL directly against your Oracle EBS database.

Download & Import Options

Resource	Link
Excel Example Output	INV Cycle count hit miss analysis 10-Mar-2026 205843.xlsx
Blitz Report™ XML Import	INV_Cycle_count_hit_miss_analysis.xml
Full SQL on Enginatics	www.enginatics.com/reports/inv-cycle-count-hit-miss-analysis/

INV Cycle count hit-miss analysis - Case Study & Technical Analysis

Executive Summary

The INV Cycle count hit/miss analysis report is a performance metric report used to evaluate the accuracy of the inventory records. It classifies each count as a “Hit” (accurate within tolerance) or a “Miss” (inaccurate). This report is essential for measuring the effectiveness of the inventory management process and is often a key KPI for warehouse managers.

Business Use Cases

• KPI Reporting: Calculates the “Inventory Record Accuracy” percentage (Hits / Total Counts).
• Tolerance Tuning: Helps determine if current tolerances are too strict (too many misses) or too loose (100% hits but poor operational reality).
• Root Cause Analysis: By grouping misses by ABC class or Subinventory, managers can identify problem areas (e.g., “Why do we have so many misses in the Bulk Zone?”).

Technical Analysis

Core Tables

• MTL_CYCLE_COUNT_ENTRIES: Stores the count results.
• MTL_CYCLE_COUNT_CLASSES: Defines the hit/miss tolerances for each class.
• MTL_ABC_CLASSES: The ABC classes (A, B, C).

Key Joins & Logic

• Hit/Miss Logic: The system compares the ADJUSTMENT_QUANTITY (or value) against the tolerances defined in MTL_CYCLE_COUNT_CLASSES.
  • If ABS(Variance) <= Tolerance, it’s a Hit.
  • Otherwise, it’s a Miss.
• Aggregation: The report typically aggregates these counts to show percentages by Class or Subinventory.

Key Parameters

• Cycle Count Name: The specific count definition.
• Start/End Date: The period to analyze.

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