Revenue Recognition Reconciliation Tool for a Subscription Business
Finance was spending 5 days every month-end reconciling Stripe, Salesforce, and NetSuite by hand. Variances were routinely missed, causing restated financials twice in 18 months. An automated ETL pipeline reduced month-end close from 5 days to 4 hours.
Cost of problem
5 days/month close + $90k Series C delay costs
Savings achieved
$30k/quarter in audit remediation eliminated
Time saved
5 days → 4 hours per month-end close
ROI
20x ROI in year one
Build time
5 weeks
The Problem
The company had three sources of truth for revenue: Stripe (payment processor), Salesforce (contracts and ARR), and NetSuite (books). Each month, a Finance analyst manually exported all three, built a pivot table to find variances, and resolved discrepancies by chasing down individual deal owners. The process took 5 days, missed edge cases regularly, and resulted in two finance restatements in 18 months — one of which delayed a Series C close by 3 weeks.
What Was Built
A Python ETL pipeline that pulls data from all three systems via API, normalizes it into a unified revenue table in Postgres, and applies ASC 606 recognition rules per contract type. A variance report is auto-generated each night and flagged items are routed to a Slack thread for resolution. A lightweight FastAPI service exposes the reconciled data to a CFO dashboard built in Metabase.
How It Was Implemented
The pipeline handles the main complexity cases: multi-element arrangements (software + services), variable consideration (usage-based components), contract modifications (upgrades/downgrades mid-term), and refunds/credits. Each revenue event is tagged with its source, contract ID, and recognition schedule. The Postgres schema is designed so Finance can query it directly in SQL without relying on anyone from RevOps.
The Outcome
Month-end close dropped from 5 days to 4 hours. Zero finance restatements in the 12 months following deployment. The CFO now has a real-time ARR dashboard and can independently drill into any revenue line. The Finance analyst moved from reconciliation work to FP&A modeling — a significant retention win.