AR Customer Credit Snapshot

Description:

Application: Receivables Source: Customer Credit Snapshot (XML) Short Name: ARXCCS_XML DB package: AR_ARXCCS_XMLP_PKG

Parameters

Reporting Level, Reporting Context, Collector Name, Collector Name Low, Collector Name High, Customer Name, Customer Name Low, Customer Name High, Customer Number, Customer Number Low, Customer Number High, Bucket Name

Used tables

ar_system_parameters_all, gl_sets_of_books, hr_all_organization_units_vl, fnd_currencies, hz_cust_accounts, hz_parties, hz_cust_acct_sites, hz_party_sites, hz_locations, hz_cust_site_uses, fnd_territories_vl, ar_collectors, hz_customer_profiles, hz_cust_profile_classes, hz_cust_acct_sites_all, hz_cust_site_uses_all, hz_cust_profile_amts, ar_payment_schedules_all

Categories

Enginatics

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

AR Customer Credit Snapshot 13-Nov-2024 213434.xlsx

Report SQL

www.enginatics.com/reports/ar-customer-credit-snapshot/

Blitz Report™ import options

AR_Customer_Credit_Snapshot.xml

AR Customer Credit Snapshot - Case Study & Technical Analysis

Executive Summary

The AR Customer Credit Snapshot report provides a comprehensive view of customer credit status within Oracle Receivables. It is designed to assist credit managers and financial analysts in monitoring customer creditworthiness, managing credit risk, and ensuring timely collections. By consolidating critical credit information—such as credit limits, outstanding balances, and payment history—into a single report, organizations can make informed decisions regarding credit extensions and collection strategies.

Business Challenge

Effective credit management is vital for maintaining healthy cash flow and minimizing bad debt. Organizations often face challenges such as:

• Fragmented Data: Credit information is often scattered across multiple screens and tables, making it difficult to get a holistic view of a customer’s credit standing.
• Risk Exposure: Without up-to-date information, companies may inadvertently extend credit to high-risk customers, leading to potential financial losses.
• Inefficient Collections: Lack of visibility into overdue balances and payment trends can hinder collection efforts and increase Days Sales Outstanding (DSO).
• Compliance and Auditing: Ensuring adherence to credit policies requires regular monitoring and reporting, which can be time-consuming without automated tools.

Solution

The AR Customer Credit Snapshot report addresses these challenges by providing a detailed and accurate snapshot of customer credit profiles. Key features include:

• Consolidated View: Aggregates data from various sources, including customer profiles, account details, and transaction history, into a unified report.
• Risk Assessment: Displays credit limits alongside current balances, allowing for immediate identification of customers exceeding their limits.
• Aging Analysis: Integrates with aging buckets to show the distribution of outstanding debt, helping to prioritize collection activities.
• Flexible Filtering: Supports parameters for filtering by collector, customer name, and reporting level, enabling targeted analysis.

Technical Architecture

The report is built upon the Oracle Receivables and Trading Community Architecture (TCA) data models. It leverages a robust SQL query to extract and join data from key tables, ensuring data integrity and performance.

Key Tables Used

• HZ_PARTIES: Stores information about the parties (customers) involved.
• HZ_CUST_ACCOUNTS: Contains details about customer accounts.
• HZ_CUST_PROFILE_AMTS: Holds credit profile amounts, including credit limits and currency settings.
• AR_PAYMENT_SCHEDULES_ALL: Provides transaction-level details for calculating outstanding balances and aging.
• AR_COLLECTORS: Links customers to their assigned collectors.
• AR_SYSTEM_PARAMETERS_ALL: Retrieves system-level parameters and defaults.

Data Logic

The report logic involves:

1. Customer Identification: Selecting customers based on the provided parameters (Name, Number, Collector).
2. Credit Profile Retrieval: Fetching the active credit profile for each customer to determine credit limits and terms.
3. Balance Calculation: Summing up open payment schedules to calculate the total outstanding balance.
4. Aging Bucket Application: Applying the specified aging bucket definitions to categorize overdue amounts.

Parameters

The report supports the following parameters to customize the output:

• Reporting Level: Specifies the level at which the report is run (e.g., Operating Unit, Ledger).
• Reporting Context: Defines the specific entity for the chosen reporting level.
• Collector Name: Filters the report for customers assigned to a specific collector.
• Customer Name (Low/High): Allows selecting a range of customers by name.
• Customer Number (Low/High): Allows selecting a range of customers by account number.
• Bucket Name: Determines the aging bucket used for analyzing overdue balances.

Performance

The SQL query underlying this report is optimized for performance. It utilizes standard Oracle indexes on HZ_PARTIES, HZ_CUST_ACCOUNTS, and AR_PAYMENT_SCHEDULES_ALL. To ensure optimal execution times, especially for large datasets:

• Ensure that statistics are gathered regularly on the relevant tables.
• Use specific filter criteria (e.g., a specific collector or customer range) rather than running the report for all customers if the volume is high.

FAQ

Q: Why is the credit limit shown as null for some customers? A: If a customer does not have a specific credit profile defined at the account or site level, the report may show a null value. Ensure that a default profile class is assigned.

Q: Does this report include unapplied receipts in the balance calculation? A: Yes, the report typically considers all open items in AR_PAYMENT_SCHEDULES_ALL, which includes invoices, debit memos, and unapplied receipts (credit balance).

Q: Can I see credit information for inactive customers? A: The report generally focuses on active customers and accounts. However, depending on the specific SQL logic and parameters, inactive sites with outstanding balances might be included.

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.

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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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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