Data Discrepancies:
Sales data in the accounting books was inconsistent with e-invoice data. With 50,000 e-invoices generated daily, discrepancies between the accounting records and e-invoicing data led to financial reporting issues, including an under-reporting of VAT by 500k SAR to 1 million SAR.
Multiple Source Systems:
The client had multiple systems with different data formats, making it difficult to reconcile the data and identify discrepancies.
Missing Invoices:
Some invoices and refunds were not submitted to ZATCA as e-invoices, and some invoices were missing entirely from the accounting books.
Manual Reconciliation:
Due to the sheer volume of invoices, the reconciliation process was done only on a sample size of invoices manually, leading to gaps and incomplete verification. Extremely time consuming process that consumed a significant bandwidth of the tax team.
Volume of Data:
The high transaction volume (50,000 daily e-invoices) necessitated a solution that could scale and automate reconciliation at a detailed level, instead of relying on manual checks and reconciliation using excel.
Data extraction and automation:
Consolidation and Reconciliation with ZATCA e-Invoice data:
Reporting & Insights:
Stress Testing & Proactive Support:
Fast Implementation:
100% Accuracy in E-Invoicing:
Business Impact: