Automated forecasting and demand planning reports

Purpose

 1.1. Automate generation and distribution of forecasting and demand planning reports using live enterprise data, ERP, MRP, and external market intelligence.
 1.2. Integrate multi-source datasets (production, inventory, sales, supplier, and global aerospace trends) for synchronized demand planning.
 1.3. Reduce manual analysis effort, improve actionable insights, and support executive and operational decision-making for aerospace manufacturing planning cycles.

Trigger Conditions

 2.1. Scheduled triggers (e.g., monthly/weekly reports, quarter close, or fiscal year-end).
 2.2. Data updates in ERP or warehouse systems (e.g., production output/logistics arrival).
 2.3. Anomaly detection triggers (e.g., over-/under-performance in booking/order rate).
 2.4. API/webhook events from business intelligence dashboards or forecasting services.

Platform Variants

 3.1. Microsoft Power BI
 • Feature/Setting: Scheduled Datasets Refresh (API); configure for auto-execution on warehouse/ERP data sync.
 3.2. Tableau
 • Feature/Setting: Tableau REST API – Run Predefined Reports; set process to trigger on completed data extraction job.
 3.3. SAP S/4HANA
 • Feature/Setting: OData Service/Analytics API; configure "Demand Forecast" extraction and push via Webhook.
 3.4. Oracle Analytics Cloud
 • Feature/Setting: BI Publisher REST API; automate “Demand Planning” report export at month-end.
 3.5. Google BigQuery
 • Feature/Setting: Scheduled Queries with Data Transfer API; output results to cloud storage on data refresh.
 3.6. Snowflake
 • Feature/Setting: Tasks and Streams; trigger forecast pipeline on table update, results sent to analytics platform.
 3.7. IBM Cognos Analytics
 • Feature/Setting: REST API – Automated Report Distribution on schedule or data event.
 3.8. AWS QuickSight
 • Feature/Setting: Scheduled Report Export (Create Dashboard Snapshot API); automation for management emails.
 3.9. Azure Synapse Analytics
 • Feature/Setting: Synapse Pipelines Trigger; automate ETL then execute Power BI dataset refresh.
 3.10. Salesforce Analytics Cloud
 • Feature/Setting: Einstein Analytics REST API; configured for auto-generation on sales data change.
 3.11. Workday Adaptive Planning
 • Feature/Setting: Reporting API Call on Workforce/Resource Plan update.
 3.12. Anaplan
 • Feature/Setting: Export Action via REST API, scheduled for periodic forecast reports.
 3.13. Qlik Sense
 • Feature/Setting: Qlik Engine JSON API; configure reload and publish to role-based access group.
 3.14. Alteryx
 • Feature/Setting: Gallery API for Workflow Execution; automate batch demand planning analytics.
 3.15. Domo
 • Feature/Setting: DataStream Triggers; dashboard snapshot sent via scheduled reporting.
 3.16. Sisense
 • Feature/Setting: Report Scheduling API; distribution of "Demand & Forecast" report to business units.
 3.17. Google Sheets
 • Feature/Setting: Apps Script Trigger on Data Import; auto-email PDF report from template.
 3.18. Zoho Analytics
 • Feature/Setting: Scheduled Export with Zoho Analytics API; scheduled report push and stakeholder send-out.
 3.19. Smartsheet
 • Feature/Setting: Automated Workflows – Report Generation; dispatch attached report via internal comms.
 3.20. Looker
 • Feature/Setting: Looker API – Scheduled Plan Run; automate forecast dashboard distribution across org.

Benefits

 4.1. Lowers manual workload for analysts and planners in aerospace production cycles.
 4.2. Ensures timely, consistent, and error-reduced report availability.
 4.3. Facilitates cross-departmental alignment using unified, up-to-date demand intelligence.
 4.4. Enhances agility in demand shift response, optimizing inventory, procurement, and capacity planning.
 4.5. Improves accuracy and accessibility of critical forecasting for top-level aerospace strategic decisions.