AR Customer Credit Snapshot – Oracle EBS SQL Report

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

Overview

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

Report 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

Oracle EBS Tables Used

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

Report Categories

Enginatics, R12 only

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	AR Customer Credit Snapshot 13-Nov-2024 213434.xlsx
Blitz Report™ XML Import	AR_Customer_Credit_Snapshot.xml
Full SQL on Enginatics	www.enginatics.com/reports/ar-customer-credit-snapshot/

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:

Customer Identification: Selecting customers based on the provided parameters (Name, Number, Collector).
Credit Profile Retrieval: Fetching the active credit profile for each customer to determine credit limits and terms.
Balance Calculation: Summing up open payment schedules to calculate the total outstanding balance.
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.

AR Customer Credit Snapshot | Oracle EBS SQL Report

Application: Receivables Source: Customer Credit Snapshot (XML) Short Name: ARXCCSXML DB package: ARARXCCSXMLPPKG