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Banking transaction reconciliation with POS records

Purpose

1.1. Automate the matching and reconciliation of banking transactions with POS sales, automating the detection of discrepancies and streamlining settlement for street food hawkers.
1.2. Provides automated visibility over cash inflow, detects missing funds, and automates reporting for financial audits and daily settlement.
1.3. Removing the need for manual cross-verification, automating the import, comparison, and flagging of bank and POS data for simplified, hands-free reconciliation.

Trigger Conditions

2.1. Automated pulling of new transaction records from POS and banking platforms on a scheduled or event-driven basis.
2.2. When a sale is completed in the POS or when new settlements are available in the banking portal, triggers initiate the reconciliation automation.
2.3. Automation is triggered if data inconsistencies or mismatches are detected between expected and actual transactions.

Platform Variants

3.1. Stripe
• Feature/Setting: Use "Balance Transaction" API — automates fetching settled transactions; configure with account token and scheduled fetch.
3.2. Square
• Feature/Setting: "List Payments" API — automates exporting daily sales; apply date filter and scheduled calls.
3.3. PayPal
• Feature/Setting: "Transaction Search" API — automated search and retrieval by range, integrated at daily close.
3.4. Xero
• Feature/Setting: "BankStatementLines API" and "Bank Transactions" — automate importing latest bank data for reconciliation.
3.5. QuickBooks
• Feature/Setting: "List Transactions" endpoint — automates retrieval of both banking and POS data; cross-match using transaction ID.
3.6. Zoho Books
• Feature/Setting: "Bank Feeds" and "Sales Transactions" APIs for automated periodic import and compare routines.
3.7. Sage
• Feature/Setting: "Bank Feed Automation" — auto-pulls and matches transactions daily.
3.8. FreshBooks
• Feature/Setting: "Bank Reconciliation" API — schedules imports and automated matching process.
3.9. Shopify POS
• Feature/Setting: "Order API" — automates fetching order and payout data for reconciling.
3.10. Wave
• Feature/Setting: "Transactions API" — scheduled sync for matched bank and POS entries.
3.11. Excel Online (Microsoft 365)
• Feature/Setting: "Automate Workbook Update" — macro/API uploads bank/POS CSVs, runs macro for automated reconciliation logic.
3.12. Google Sheets
• Feature/Setting: "App Script Automation" — uses scripts for automating data import from APIs and cross-validation routines.
3.13. Plaid
• Feature/Setting: "Transactions" endpoint — automatically sync and categorize bank activity.
3.14. Yodlee
• Feature/Setting: "Data Aggregation API" — automates pulling banking/transaction feeds.
3.15. Tally
• Feature/Setting: "Banking Module Automation" — configure scheduled imports and automated ledger matching.
3.16. Lightspeed POS
• Feature/Setting: "Sales History API" — fetches POS sales for automated reconciliation workflows.
3.17. Toast POS
• Feature/Setting: "Reporting API" — automate export of order/payments, configure routine match with bank debits.
3.18. Revel Systems
• Feature/Setting: "Financial Data Export" — enables automated export of POS records for matching.
3.19. MySQL/PostgreSQL
• Feature/Setting: "Scheduled Query Execution" — automates direct DB queries that compare imported POS/banking data.
3.20. Microsoft Power Automate
• Feature/Setting: "Automated Flow" — connects banking, POS, and spreadsheets; automates matching with conditional logic.

Benefits

4.1. Automates repetitive reconciliation tasks, reducing manual errors and increasing speed.
4.2. Automatedly identifies discrepancies for prompt action, minimizing financial losses for hawker stalls.
4.3. Enables compliance-ready, automatable audit trails with robust reporting and documentation.
4.4. Automator reduces staff workload, freeing focus for revenue-generating activities.
4.5. Supports hybrid data sources, automating integration across multiple channels and ensuring consistency.
4.6. Automates daily reconciliation, allowing for faster financial closures and up-to-date cashflow insights.
4.7. Improves decision-making via automated, real-time financial overviews for street food business owners.
4.8. Automation enables scalability, easily handling increases in transaction volume without increased risk.

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