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

Oracle E-Business Suite SQL report from the Enginatics Library powered by Blitz Report™. Oracle EBS module: Inventory · all Inventory reports

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

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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 11i, INV Items, INV Item Upload, CAC Deferred COGS Out-of-Balance

Running This SQL Without Blitz Report

The SQL source can be run in any SQL client. Some Oracle EBS SQL reports in this library use functions from the utility package xxen_util – install it first. Blitz Report™ adds parameters, Excel output with pivots, scheduling and security on top.

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
SQL Source	INV Cycle count hit-miss analysis.sql
Full Report 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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