Purpose
1.2. Enable automated collection, aggregation, and pattern-detection from laboratory equipment, chemical inventories, booking logs, and researcher activities.
1.3. Automator enhances compliance, cost-control, and evidence-based resource allocation, preventing waste and detecting anomalies.
1.4. Supports automatedly generating usage analytics and automated notifications for low stock, maintenance, or misuse alerts, ensuring seamless laboratory operations.
Trigger Conditions
2.2. Resource or inventory usage logs update (manually or automatedly via API/webhook).
2.3. Scheduled resource analysis or periodic automated scheduled checks.
2.4. Automated threshold breach (e.g., low stock, abnormal usage pattern, equipment malfunction).
2.5. New booking/reservation logged in laboratory management system.
Platform Variants
3.1. Microsoft Power Automate
• Feature: Automated Flows
• Setting: Configure flow to poll SharePoint or Excel updates in laboratory resource spreadsheets.
3.2. Google Sheets API
• Feature: Sheets API triggers
• Setting: Automate trigger on row change with usage logs to launch analysis function.
3.3. Zapier
• Feature: Zap automation
• Setting: Use lab inventory software webhook as trigger to automate logging and notifications.
3.4. LabCollector API
• Feature: Inventory & Equipment Module
• Setting: Automate read-access API to pull usage logs for automated analytics.
3.5. LabArchives
• Feature: ELN API
• Setting: Event-based triggers to automate gathering lab entries and usage data.
3.6. Salesforce
• Feature: Platform Events
• Setting: Automator listens for resource event objects for usage analytics.
3.7. AWS Lambda
• Feature: Scheduled Functions
• Setting: Event-driven resource log processor for automated usage tracking.
3.8. Monday.com
• Feature: Automation Recipes
• Setting: Resource booking board triggers automated summary notifications.
3.9. Slack
• Feature: Incoming Webhooks
• Setting: Automated message upon inventory threshold breach via webhook integration.
3.10. Twilio
• Feature: Programmable SMS
• Setting: Automated SMS alerts on critical resource depletion or misuse.
3.11. IBM Watson Analytics
• Feature: Automated Data Analysis
• Setting: Connect resource logs for automated churn analysis and reporting.
3.12. Smartsheet
• Feature: Automated Workflows
• Setting: Configure resource sheet changes to trigger automated audit trails.
3.13. Tableau
• Feature: Hyper API
• Setting: Automate data pipeline import from lab logs for visual, automated analytics.
3.14. HubSpot
• Feature: Workflow Automation
• Setting: Trigger resource management notifications from automated database updates.
3.15. NetSuite
• Feature: SuiteScripts
• Setting: Automate/automated ELT for resource usage from lab modules.
3.16. Trello
• Feature: Automation Rules
• Setting: Resource card movements trigger automated checklist updates.
3.17. Asana
• Feature: Rules Automation
• Setting: New inventory addition triggers automated reminder tasks.
3.18. Notion
• Feature: API & Database Automation
• Setting: Automatedly sync resource database events for manager review.
3.19. Google Cloud Functions
• Feature: Event-Driven Automation
• Setting: Automate lab equipment logs to analytics bigtable for automated trend analysis.
3.20. Airtable
• Feature: Automations
• Setting: Automatedly flag resource records based on usage rates.
3.21. QuickBase
• Feature: Pipelines
• Setting: Automate extraction from lab tracking app for automated compliance check.
3.22. Freshservice
• Feature: Orchestration Center
• Setting: Automatedly escalate equipment downtime based on usage logs.
3.23. Jotform
• Feature: Form Submission Triggers
• Setting: Automatic creation of resource requests and automatedly route for approval.
Benefits
4.2. Automated alerts for restocking and maintenance lower resource downtime and avoid bottlenecks.
4.3. Automator enforces compliance through auditable automated logs and standardized alerts.
4.4. Laboratory resources are optimized by automated intelligence, driving down costs and maximising efficiency.
4.5. Automatable insights enable evidence-based decisions for future procurement and usage policies.