We helped a leading ecommerce retailer automate their financial month end closing and reduce their turn around time​

A leading Indian e-commerce platform in fashion, beauty, and lifestyle was struggling to close its financial books efficiently at month end. The finance team relied on manual calculations and reconciliations, taking 7–10 man days to complete reporting and increasing the risk of errors.

Data discrepancies across multiple systems covering taxes, commissions, stock transfers, and goods received caused further delays, slowing down dependent processes such as accounts receivable, accounts payable, and inventory reconciliation.

The client needed a faster, more reliable way to automate calculations, improve data accuracy, and streamline month-end closing without disrupting ongoing finance operations.

An eminent Indian e-commerce entity specializing in fashion, beauty, and lifestyle products faced significant challenges to expedite their financial month-end closing.

The customer’s finance team was manually calculating and reporting their month-end closure, taking between 7–10 man days to complete. Compounded by the high turnaround time to resolve data discrepancies and provide clean data, this further impacted other dependent finance activities such as accounts receivable, accounts payable, and inventory.

ADA helped to reduce the turnaround time by building automated data pipelines that calculated the various figures required for their financial reporting (e.g., tax, commissions, stock transfer notes, goods received notes).

ADA built data completeness checks and split the month-end closure activity into separate phases (Phase 1: start of month till 24th of the month, Phase 2: 24th till month end), allowing us to quickly identify and resolve any data discrepancies early on.