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Sample testing and quality control result logging

Purpose

1.1. Automate the capturing, logging, and reporting of sample testing and quality control results across grain elevator sites, ensuring compliance with internal and regulatory standards.
1.2. Automates the collection of real-time quality metrics (moisture, protein, contaminants) from lab equipment and field devices into central QMS or ERP.
1.3. Automates the notification of anomalies, failed tests, or compliance issues to designated management or quality personnel.
1.4. Automates report generation and regulatory submission processes, reducing human error and time spent on manual documentation.

Trigger Conditions

2.1. Automated trigger when a new lab test result is available or equipment completes an analysis.
2.2. Automatedly triggered by manual upload of CSV/Excel test results to a monitored folder, email inbox, or cloud storage.
2.3. Automated schedule (e.g., every hour/day) for pulling new data from integrated LIMS or SCADA systems.
2.4. Automated detection of test result above or below configured thresholds for immediate escalation automation.

Platform Variants

3.1. Microsoft Power Automate
• Feature/Setting: "When a file is created" in SharePoint; Action: "Create item" in Dataverse to log quality data.
3.2. Zapier
• Feature/Setting: Google Sheets "New Row" trigger; Action: "Send webhook" to downstream ERP or QMS.
3.3. Make (Integromat)
• Feature/Setting: Scheduled HTTP module fetches CSV from SFTP and parses into cloud database.
3.4. Apache NiFi
• Feature/Setting: Processor "GetFile" monitors directory, "PutDatabaseRecord" writes to QC database.
3.5. IBM Cloud Functions
• Feature/Setting: REST API trigger on test data submission, automated action executes workflow for compliance logging.
3.6. AWS Lambda
• Feature/Setting: S3 bucket "ObjectCreated" event fires Lambda to process test data and post to DynamoDB.
3.7. Google Cloud Functions
• Feature/Setting: Pub/Sub topic receives lab equipment output, automated function parses and logs to BigQuery.
3.8. Azure Logic Apps
• Feature/Setting: Blob Storage "New Blob" trigger; Action: "Insert row" into Azure SQL Database.
3.9. Salesforce Flow
• Feature/Setting: External Data Source "Create Record" automates QC logs instantly in Salesforce objects.
3.10. Smartsheet
• Feature/Setting: "Row Added" automation triggers workflow; Action: "Alert someone" or "Copy row" to compliance log sheet.
3.11. Trello
• Feature/Setting: "New card with label: sample-result" triggers automation; Action: "Add checklist" for manual verification.
3.12. ServiceNow
• Feature/Setting: "Record Updated" automation kicks off notification task for failed tests.
3.13. Jira Automation
• Feature/Setting: "Issue Created" with QC label; Action: "Transition to review" and assign to compliance lead.
3.14. SAP BTP (Business Technology Platform)
• Feature/Setting: ABAP REST API consumption to ingest automated test logs into SAP QMS module.
3.15. Oracle Integration Cloud
• Feature/Setting: File Adapter monitors FTP for backups of test data and processes for compliance entry.
3.16. Slack API
• Feature/Setting: "Incoming Webhook" posts alerts for failed test results to quality control channel.
3.17. Twilio
• Feature/Setting: Automated SMS notifications via "Message" API for urgent QC failures.
3.18. SendGrid
• Feature/Setting: "Send Email" automation notifies compliance officers of automated daily summary logs.
3.19. Monday.com
• Feature/Setting: "New Item" board automation generates quality log-line items for review.
3.20. DocuSign
• Feature/Setting: Automated "Send envelope" requesting digital signature on compliance summaries.

Benefits

4.1. Automates error-free logging, ensuring immediate entry of sample test data, reducing manual paperwork.
4.2. Automates rapid anomaly and failure detection, supporting proactive compliance interventions.
4.3. Automating notification and escalation increases accountability and traceability.
4.4. Ensures regulatory compliance by automating submission timelines and documentation.
4.5. Automator increases efficiency, reducing labor cost and improving test result turnaround time.
4.6. Automatable auditing allows seamless retracing of data in regulatory investigations.

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