Accounting professionals struggle with automated bank reconciliation tools failing on complex real-world transactions, forcing manual workarounds in spreadsheets.
Built-in matching in accounting software fails on transactions with slight date, amount, or description differences (e.g., Shopify payouts covering multiple orders, partial payments, bank fees deducted from wires), and lacks live bank feeds for some clients, requiring manual CSV import.
Workarounds Described
- Manually matching transactions in Excel/Google Sheets after software fails
- Using CSV exports from banks and importing into spreadsheets
- Troubleshooting automated matches by hand for complex transactions
Implied Software Gaps
- Intelligent matching engine that handles partial payments, multi-order payouts, and bank fees
- Robust CSV import with automatic column mapping and data cleaning
- Automated reconciliation workflows that reduce manual intervention on messy transactions
ReconFix AI
AI-powered reconciliation assistant that ingests bank feeds or CSV exports and matches them against invoices, orders, and payouts even with imperfect data. It learns from user corrections, handles multi-order payouts, partial payments, and fee deductions automatically, achieving over 95% match rate.
- AI matching that tolerates date/amount/description discrepancies
- Support for splitting Shopify payouts across hundreds of orders
- Automatic handling of partial payments and bank fee deductions
- CSV import with smart mapping for banks without live feeds
- Learning from user corrections to improve future matches
Existing Solutions Mentioned
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