INV Item Demand History

Description:

Imported from BI Publisher Description: Item demand history report Application: Inventory Source: Item demand history report (XML) Short Name: INVPRFDH_XML DB package: INV_INVPRFDH_XMLP_PKG

Parameters

Organization Code, Category Set, Categories From, Categories To, Items From, Items To, Bucket Type, History Start Date

Used tables

mfg_lookups, org_organization_definitions, gl_sets_of_books, fnd_currencies, mtl_system_items_kfv, mtl_demand_histories, mtl_item_categories, mtl_categories_kfv

Dependencies

If you would like to try one of these Oracle EBS SQLs without having Blitz Report installed, note that some of the reports require functions from utility package xxen_util.

Example Report

INV Item Demand History - Default Pivot 03-Jun-2023 213208.xlsx

Report SQL

www.enginatics.com/reports/inv-item-demand-history/

Blitz Report™ import options

INV_Item_Demand_History.xml

INV Item Demand History - Case Study & Technical Analysis

Executive Summary

The INV Item Demand History report provides a historical view of item usage (demand) over time. It aggregates transaction data to show how much of an item was issued or sold in specific time buckets. This data is the foundation for Inventory Forecasting and Min-Max Planning.

Business Use Cases

Forecasting: Planners use this history to predict future demand (e.g., “We used 100 units last December, so we should stock up for this December”).
Min-Max Calculation: The “Calculate Min-Max Planning” program uses this history to suggest new minimum and maximum stock levels.
Slow Mover Analysis: Identifies items with zero demand over the last 12 months.

Technical Analysis

Core Tables

MTL_DEMAND_HISTORIES: The summary table populated by the “Compile Demand History” concurrent program.
MTL_SYSTEM_ITEMS_KFV: Item details.

Key Joins & Logic

Compilation: This report relies on the MTL_DEMAND_HISTORIES table being up-to-date. This table is NOT real-time; it is populated by a background process that summarizes MTL_MATERIAL_TRANSACTIONS.
Bucketing: Demand is aggregated into buckets (Day, Week, Month) based on the compilation settings.
Transaction Types: Only specific transaction types (e.g., Sales Order Issue, WIP Issue) are typically considered “Demand”.

Key Parameters

Bucket Type: Daily, Weekly, or Monthly.
History Start Date: The lookback period.

Oracle E-Business Suite Reporting Library

We provide an open source Oracle EBS SQLs as a part of operational and project implementation support toolkits for rapid Excel reports generation.

Blitz Report™ is based on Oracle EBS forms technology, and hence requires minimal training. There are no data or performance limitations since the output files are created directly from the database without going through intermediate file formats such as XML.

Blitz Report can be used as BI Publisher and Oracle Discoverer replacement tool. Standard Oracle BI Publisher and Discoverer reports can also be imported into Blitz Report for immediate output to Excel. Typically, reports can be created and version tracked within hours instead of days. The concurrent request output automatically opens upon completion without the need for re-formatting.

The Filters, Columns, Rows and Values fields are used to create and deliver the data in pivot table format with full drill down to details.

Blitz Report Pivots

The Excel template upload functionality in Blitz Report allows users to create their own layouts by uploading an Excel template with additional sheets and charts, automatically refreshed when the report runs again. This allows to create custom dashboards and more advanced visualizations of report data.

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You can download and use Blitz Report free of charge for your first 30 reports.

The installation and implementation process usually takes less than 1 hour; you can refer to our installation and user guides for specific details.

If you would like to optimize your Oracle EBS implementation and or operational reporting you can visit www.enginatics.com to review great ideas and example usage in blog. Or why not try for yourself in our demo environment.

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