Accounting Analytics for Inventory Integrity and Working Capital Control: Continuous Auditing Approaches for ERP-Enabled Supply Chains

This study develops an accounting-analytics framework for continuous auditing of inventory integrity and working capital control in ERP-enabled supply chains. The empirical analysis uses the DataCo SMART SUPPLY CHAIN FOR BIG DATA ANALYSIS dataset, a public transaction-level dataset distributed through Mendeley Data and mirrored on Kaggle, containing 180,519 records and 53 variables spanning 2015 to 2018. The paper operationalizes inventory-integrity stress through a set of ERP-visible exception signals: delay variance, severe delay, negative-profit orders, high discounting, workflow-status anomalies and fraud labels. Descriptive analytics, cross-segment heat maps, Pareto concentration analysis and logistic regression are used to identify where risk is concentrated and how a continuous-auditing rule library can be designed. The results show that 54.83% of observations carry late-delivery risk, 18.71% are negative-profit orders, 11.11% involve high discounting and 2.25% are fraud-labelled orders. Positive shipping slippage averages 1.62 days and generates 34.01 million sales-days of working-capital drag, equivalent to 0.92 extra cycle days across the portfolio. Shipping mode, rather than broad market geography, explains most late-delivery variation: relative to First Class, the odds of late-delivery risk are materially lower for Same Day, Second Class and Standard Class channels. Exposure concentration is also non-trivial: a small set of product categories, led by Fishing, Cleats and Camping & Hiking, accounts for a disproportionate share of negative-profit sales exposure. On the basis of these findings, the paper proposes a six-rule continuous-auditing architecture for ERP-enabled supply chains, combining transaction screening, exception scoring, root-cause triage, remediation ownership and working-capital escalation. The contribution of the study lies in translating continuous-auditing theory into a practical control design that links transaction analytics with inventory integrity, margin protection and liquidity discipline.

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Publication Details

Journal
Iconic Research and Engineering Journals
Published
2026-06-30
DOI
https://doi.org/10.64388/irev10i1-1719387
Primary Topic
Supply Chain and Inventory Management
Type
article
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article

Accounting Analytics for Inventory Integrity and Working Capital Control: Continuous Auditing Approaches for ERP-Enabled Supply Chains

Last Chingezi, Evans Chingezi, Pascal Gbang Yelduora, Lucy Ganyani et al.
Iconic Research and Engineering Journals
Supply Chain and Inventory Management
article

Accounting Analytics for Inventory Integrity and Working Capital Control: Continuous Auditing Approaches for ERP-Enabled Supply Chains

Last Chingezi, Evans Chingezi, Pascal Gbang Yelduora, Lucy Ganyani, Munashe Naphtali Mupa
article en

Abstract

This study develops an accounting-analytics framework for continuous auditing of inventory integrity and working capital control in ERP-enabled supply chains. The empirical analysis uses the DataCo SMART SUPPLY CHAIN FOR BIG DATA ANALYSIS dataset, a public transaction-level dataset distributed through Mendeley Data and mirrored on Kaggle, containing 180,519 records and 53 variables spanning 2015 to 2018. The paper operationalizes inventory-integrity stress through a set of ERP-visible exception signals: delay variance, severe delay, negative-profit orders, high discounting, workflow-status anomalies and fraud labels. Descriptive analytics, cross-segment heat maps, Pareto concentration analysis and logistic regression are used to identify where risk is concentrated and how a continuous-auditing rule library can be designed. The results show that 54.83% of observations carry late-delivery risk, 18.71% are negative-profit orders, 11.11% involve high discounting and 2.25% are fraud-labelled orders. Positive shipping slippage averages 1.62 days and generates 34.01 million sales-days of working-capital drag, equivalent to 0.92 extra cycle days across the portfolio. Shipping mode, rather than broad market geography, explains most late-delivery variation: relative to First Class, the odds of late-delivery risk are materially lower for Same Day, Second Class and Standard Class channels. Exposure concentration is also non-trivial: a small set of product categories, led by Fishing, Cleats and Camping & Hiking, accounts for a disproportionate share of negative-profit sales exposure. On the basis of these findings, the paper proposes a six-rule continuous-auditing architecture for ERP-enabled supply chains, combining transaction screening, exception scoring, root-cause triage, remediation ownership and working-capital escalation. The contribution of the study lies in translating continuous-auditing theory into a practical control design that links transaction analytics with inventory integrity, margin protection and liquidity discipline.

Iconic Research and Engineering JournalsVol. 10(1)
Openalex Percentile: Top 5%
Supply Chain and Inventory Management
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