Bank transaction import and categorization for bookkeeping

Purpose

1.1. Automate the import of bank transaction data into accounting or ERP platforms.
1.2. Automatedly categorize transactions based on rules (e.g. supplier, amount, keyword).
1.3. Automate reconciliation between bank data and bookkeeping records for financial transparency.
1.4. Automate detection of duplicate or suspicious transactions, aiding compliance and audit readiness.
1.5. Provide automated, real-time financial analytics and compliance support specific to Argentinian fiscal requirements for restaurants.

Trigger Conditions

2.1. New transaction posted in connected bank account(s).
2.2. Scheduled trigger (e.g. daily at 2 AM) for batch import and categorization.
2.3. Manual trigger via dashboard for on-demand transaction sync.
2.4. API callback/webhook from bank or financial aggregator.

Platform Variants

3.1. Xero
• Feature/Setting: Bank Feeds API; configure automated polling and categorize = true setting.

3.2. QuickBooks Online
• Feature/Setting: Bank Transactions API; enable auto-categorization, configure webhook for real-time automation.

3.3. FreshBooks
• Feature/Setting: Bank Import; set schedule, use automated rules for transaction coding.

3.4. Zoho Books
• Feature/Setting: Bank Feeds; automate synchronization frequency, configure categorization logic.

3.5. Sage Business Cloud
• Feature/Setting: Bank Feed Connection; automate refresh and map transaction types to accounts.

3.6. Wave Accounting
• Feature/Setting: Bank Connection; use automated import, rule-based auto-categorizer.

3.7. Oracle NetSuite
• Feature/Setting: SuiteBanking APIs; automate import tasks, enable transaction categorization workflows.

3.8. SAP Business One
• Feature/Setting: Bank Statement Processing; automate scheduled statement import, category assignment rules.

3.9. Plaid
• Feature/Setting: Transactions Endpoint; setup continuous sync, automate webhook for new activity.

3.10. Yodlee
• Feature/Setting: FastLink for Bank Feeds; automate transactions download, classifier rules with API.

3.11. Fidel API
• Feature/Setting: Transactions Stream; automated webhook on card activity, custom categorizer.

3.12. Salt Edge
• Feature/Setting: Data Aggregation API; schedule synchronizations, auto-classification mapping.

3.13. Tink
• Feature/Setting: Transactions API; polling schedule, automate categorization per vendor/amount.

3.14. MX
• Feature/Setting: Automated Data Aggregation; setup rule engine for restaurant supplier categorization.

3.15. Codat
• Feature/Setting: Banking API Connector; automate import scripts, set categorization workflow.

3.16. Stripe
• Feature/Setting: Balance Transactions Endpoint; automate fetch, assign bookkeeping codes.

3.17. PayPal
• Feature/Setting: Transaction Search API; schedule automated import, rules engine for restaurant expense codes.

3.18. Revolut Business
• Feature/Setting: Transactions API; create automated fetch schedule, auto-mapping.

3.19. Wise Business
• Feature/Setting: Statements Endpoint; automate retrieval, run categorization logic.

3.20. Mercado Pago
• Feature/Setting: Movements API; set cron job for automated retrieval and supplier/expense categorization.

3.21. BBVA (Argentina)
• Feature/Setting: Open Banking API; automated daily pull, parse with Argentinian chart of accounts.

3.22. Santander Río (Argentina)
• Feature/Setting: API Movimientos; automate data import, vendor code classifier for restaurants.

3.23. Itaú (Argentina)
• Feature/Setting: API de Conciliación; automator for statement parsing, category mapping.

Benefits

4.1. Automates manual data entry and reconciliation, reducing errors and freeing staff time.
4.2. Enables automated, real-time financial reporting for restaurant managers and accountants.
4.3. Boosts compliance with Argentinian fiscal regulations via automatable audit trails and categorized spend.
4.4. Reduces risk of fraud by automating duplicate/suspicious transaction detection.
4.5. Supports scalable, automated financial analytics for budgeting, supplier management, and profitability.