Skip to content

HomeCash flow forecasting based on historical dataFinancial ManagementCash flow forecasting based on historical data

Cash flow forecasting based on historical data

Purpose

1. Automate cash flow forecasting by compiling historical sales, expenses, feed, medicine, and utility data.

2. Automatedly predict available working capital for purchasing feed, livestock, or equipment.

3. Enables automating the identification of cash gaps and surplus, optimizing financial planning.

4. Reduces manual spreadsheet work by automating data collection and report generation.

5. Automate scenario analysis for variable costs and market fluctuation impact.


Trigger Conditions

1. New sales or expense data is entered in ERP/accounting software.

2. End of each week/month/quarter for scheduled automated forecasting.

3. Manual trigger by farm manager for on-demand cash flow automation.

4. API/webhook signal from inventory or POS systems for real-time updates.

5. Low balance alerts auto-trigger alternative cash forecasts.


Platform Variants


1. QuickBooks Online

  • Feature/Setting: Reports API — Automatedly extract cash flow, profit & loss, and transactions via API calls.

2. Xero

  • Feature/Setting: Reports endpoint — Automate scheduled export of financial summaries for forecast automation.

3. Microsoft Power BI

  • Feature/Setting: Scheduled Refresh — Automates import of accounting, inventory, and sales data for forecasting dashboards.

4. Google Sheets

  • Feature/Setting: Apps Script Automation — Script to automate pulling and processing historical financial entries.

5. Zoho Books

  • Feature/Setting: Reports API — Creates automated cash flow report export routines.

6. SAP Business One

  • Feature/Setting: Integration Framework — Automated extraction of journal entries for cash forecasting automations.

7. Oracle NetSuite

  • Feature/Setting: SuiteAnalytics Connect — Automated SQL queries for financial data to feed into forecasting automation.

8. Sage Intacct

  • Feature/Setting: Cash Management API — Automates cash position and forecasting data pulls.

9. FreshBooks

  • Feature/Setting: Reports API — Schedule automated financial report exports.

10. Wave Accounting

  • Feature/Setting: Export Automation — Automatically extracts and formats transaction history.

11. Tally

  • Feature/Setting: ODBC Automation — Directly automates export of ledger for forecasting.

12. Plaid

  • Feature/Setting: Transactions API — Automates bank feed data for immediate cash positioning.

13. Stripe

  • Feature/Setting: Balance Transactions API — Automate pulling daily and monthly financial movements.

14. Square

  • Feature/Setting: Transaction Reporting API — Automated data pulls for cash position analysis.

15. PayPal

  • Feature/Setting: Transaction Search API — Schedule automatic pulls for expense tracking.

16. Excel Online

  • Feature/Setting: Power Automate Flows — Automates importing farm data for cash forecasting.

17. Airtable

  • Feature/Setting: Scripting Blocks — Build automated workflows to calculate, forecast, and visualize cash flow.

18. Odoo

  • Feature/Setting: Automated Actions — Triggers cash flow report automation from sales/purchase invoices.

19. SAP HANA

  • Feature/Setting: Smart Data Integration — Automates aggregation of multi-source agri-financial records.

20. Tableau

  • Feature/Setting: Tableau Prep Scheduler — Automate flow to process and visualize agricultural financial data.

21. MYOB

  • Feature/Setting: AccountRight API — Scheduled sales/expense export for cash flow automation.

22. JD Edwards

  • Feature/Setting: Orchestrator Studio — Automate collection and transformation of poultry farm ledgers.

Benefits

1. Automates accuracy of cash projections, reducing error-prone manual calculations.

2. Enables real-time, automated monitoring of liquidity position for decision support.

3. Performs automated scenario modeling and cash gap alerts.

4. Speeds up managerial reporting and compliance through process automation.

5. Automating cross-platform data collection centralizes multi-source inputs into single forecast.

6. Frees time for higher-value farm management by eliminating repetitive manual tasks through automation.

Leave a Reply

Your email address will not be published. Required fields are marked *