Purpose
1. Automate the consolidation of real-time sales data with historical data to provide ongoing cash flow forecasting for Latin American restaurants.
2. Automate detection of sales trends to adjust forecasts for revenue, expenses, and liquidity, providing predictive financial reporting for restaurant managers and accountants.
3. Automates updating financial dashboards and notifying decision-makers of potential cash flow issues based on automated analysis of up-to-date sales metrics and payment transactions.
Trigger Conditions
1. New sales transaction recorded in POS or accounting system.
2. Receipt of daily/weekly/monthly sales summaries.
3. Synchronization of bank feed or payment gateway.
4. Schedule-based automation (e.g., end of day, week, or month frequency).
5. Notable sales anomalies or rapid trend shifts detected automatically.
6. Confirmation of invoice payments or outstanding accounts reconciled.
Platform Variants
1. QuickBooks Online
- Feature/Setting: Sales Receipt Webhooks/API for automated data pull; configure webhook for every new sales transaction update.
2. Xero
- Feature/Setting: Use Xero API’s ‘Invoices’ and ‘Payments’ endpoints to automate cash flow analytics extraction.
3. Square POS
- Feature/Setting: ‘Sales Reporting’ API endpoint; schedule automated pulls for cash flow modeling.
4. Lightspeed
- Feature/Setting: Automated 'End-of-Day' reports via Lightspeed Retail API for cash forecasting.
5. Shopify POS
- Feature/Setting: Order API webhook; automate extraction of daily order totals for financial analysis.
6. Toast POS
- Feature/Setting: ‘Sales Summary API’; scheduled integration for automated trend-based forecasting.
7. Stripe
- Feature/Setting: ‘Balance Transactions’ API for real-time revenue movements automating forecast inputs.
8. PayPal
- Feature/Setting: Transaction Search API; automate transaction logs for cash movement tracking.
9. Google Sheets
- Feature/Setting: Sheets API or App Script trigger to automate data entry and calculation logic for cash forecasts.
10. Microsoft Excel (Office 365)
- Feature/Setting: Power Automate ‘When a row is added/modified’ connector to automate forecast model recalculations.
11. HubSpot
- Feature/Setting: Workflow Automator to send sales data to forecasts when deals marked “Closed-Won.”
12. Zoho Books
- Feature/Setting: Automated workflows using Zoho Flow; configure to post sales updates into cash forecasting records.
13. SAP Business One
- Feature/Setting: Service Layer API; automate GL posting updates for forecast projections.
14. Oracle NetSuite
- Feature/Setting: RESTlet scripts for automated syncing of sales trends into forecasting module.
15. FreshBooks
- Feature/Setting: Payments & Invoices API for extracting paid/overdue sales data automatically into forecasts.
16. Sage Intacct
- Feature/Setting: API automation on ‘General Ledger’ and ‘Order Entry’ for real-time cash movement tracking.
17. Vend
- Feature/Setting: Sales API for automated daily revenue syncing with cash flow sheets.
18. Pipedrive
- Feature/Setting: Workflow Automation to trigger forecasting updates when sales stage changes to Won.
19. Gusto
- Feature/Setting: Reports API for automating payroll expense integrations into cash projections.
20. Amazon S3
- Feature/Setting: Automated file upload event triggers Lambda for forecast calculations using sales data feeds.
21. Slack
- Feature/Setting: Incoming Webhooks; automate scheduled notifications for cash flow alerting from forecast model.
22. Monday.com
- Feature/Setting: Automations to update board items in real-time when financial status changes detected.
Benefits
1. Enables automated, frequent, and accurate cash flow forecasting informed by real sales trends.
2. Automator minimizes manual spreadsheet work and error risk, automating complex data integrations.
3. Rapid automated alerts empower faster financial reactions in the restaurant business.
4. Automation of financial & reporting workflows improves foresight and confidently supports credit, purchasing, and staffing decisions.
5. Allows management to focus on growth and guest experience rather than manual forecasting tasks through end-to-end automation.