Inventory turnover and dead stock reporting

Purpose

1.1. Automate the ongoing calculation and reporting of inventory turnover ratios and identification of dead stock for iron works companies in the metal fabrication sector.
1.2. Automating the process allows accurate monitoring of stock movement, highlights underperforming inventory, streamlines decision-making, and supports demand forecasting.
1.3. Enable automated tracking, periodic analytics, and instant flagging of slow-moving or obsolete items for operational efficiency and cost reduction.

Trigger Conditions

2.1. Automator is triggered by scheduled intervals (daily, weekly, or monthly inventory updates).
2.2. Automated triggers from stock movement or sales transaction events.
2.3. Manual triggers via dashboard actions for on-demand analytics automation.

Platform Variants

3.1. Microsoft Power BI
• Feature: Schedule-driven Dataflows, DAX Functions for inventory computations.
• Configure: Set automated refresh interval and use DAX for dead stock thresholds.

3.2. Google Sheets API
• Feature: Automated script with Apps Script for data aggregation and turnover calculation.
• Configure: Script to run on sheet change or time-based triggers.

3.3. SAP Business One
• Feature: Inventory Management Automation, Crystal Reports API.
• Configure: Configure automator to run nightly inventory analytic jobs.

3.4. Oracle NetSuite
• Feature: Saved Searches and Scheduled Reports for automation.
• Configure: Automate inventory analysis via saved search emailed on schedule.

3.5. Zoho Inventory
• Feature: Workflow Automation and API Reporting Module.
• Configure: Schedule workflow to export inventory data and automate report delivery.

3.6. QuickBooks Online
• Feature: Inventory Turnover Automation via Reports API.
• Configure: Automate scheduled report pulling and data processing.

3.7. Airtable
• Feature: Automated blocks/scripts run on inventory changes.
• Configure: Script block to run periodically or on update automation.

3.8. Tableau
• Feature: Tableau Prep Automation for inventory turnover KPIs.
• Configure: Automate data flow refreshes and reporting schedule.

3.9. Monday.com
• Feature: Automation Recipes for board updates and periodic reporting.
• Configure: Automated workflow to trigger report every week/month.

3.10. Salesforce
• Feature: Process Builder or Flow for automating inventory analytics.
• Configure: Automate report generation and flagging via scheduled flow.

3.11. Odoo
• Feature: Automated Actions in Inventory Module.
• Configure: Trigger scheduled inventory status analytics and update dashboards.

3.12. Smartsheet
• Feature: Automated Workflows for scheduled calculations and alerts.
• Configure: Automation to run custom scripts and notify stakeholders.

3.13. SAP S/4HANA
• Feature: Inventory Management APIs and Job Scheduling.
• Configure: Schedule automated inventory checks and push analytic results.

3.14. HubSpot
• Feature: Operations Hub Automations for custom reporting.
• Configure: Automated workflow to pull inventory data and flag dead stock.

3.15. Infor CloudSuite
• Feature: Automated Job Scheduler and Inventory APIs.
• Configure: Scheduled jobs to output turnover statistics.

3.16. Sage 300cloud
• Feature: Automated Reports and Inventory Module Settings.
• Configure: Time-driven automation of inventory analytic reports.

3.17. Slack
• Feature: Workflow Builder with report notifications from inventory automator.
• Configure: Automated message or file delivery to inventory channel.

3.18. Trello
• Feature: Butler Automation for card and board updates.
• Configure: Automation that posts analytics to a reports board.

3.19. IBM Cognos Analytics
• Feature: Scheduled Reporting and API for data integration.
• Configure: Automate report distribution and inventory analysis.

3.20. Klipfolio
• Feature: Data Source Automator and Alerts.
• Configure: Automated dashboard updates and email triggers for dead stock.

3.21. Xero
• Feature: Scheduled Inventory Reports via Reports API.
• Configure: Automate pulling inventory data and emailing analytics.

3.22. Asana
• Feature: Rules to automate reporting task creation and notifications.
• Configure: Automated assignment of investigation tasks for dead stock.

Benefits

4.1. Automated turnover and dead stock reporting ensures up-to-date, accurate inventory analysis.
4.2. Automating these flows reduces human effort, speeds workflows, and minimizes risk of expensive overstocking.
4.3. Automated analytics allow quick response to slow-moving inventory, optimizing purchasing and production.
4.4. Enhanced support for cost-saving, waste reduction, and cash flow improvement through continuous automated reporting.
4.5. Stakeholders are automatically notified about dead stock and critical trends, improving accountability and strategic planning.