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Waste and yield tracking automation

Purpose

1. Automates the end-to-end process of tracking cheese production waste and yield by collecting, centralizing, analyzing, and reporting real-time data across corporate food production, reducing manual input and increasing operational transparency.

2. Automates capture and aggregation of raw material input, intermediate loss, and final output for yield optimization, compliance, and cost control.

3. Automatedly enables real-time alerts for abnormal waste patterns, ensuring immediate action to reduce risk of loss or inefficiency.

4. Automating integrations between production machinery, ERP systems, IoT sensors, and reporting dashboards for continuous yield and waste monitoring.


Trigger Conditions

1. Automated data entry upon receiving batch input from IoT sensors and PLCs during production runs.

2. Scheduled process completion triggers for batch end or shift change.

3. Automation triggered by reaching threshold variances in expected vs. actual yield.

4. Manual override for immediate entry when major waste event occurs.


Platform Variants

1. SAP S/4HANA

 • Feature: Inventory Management API
 • Automating real-time sync of material consumption and finished goods output.

2. Microsoft Power Automate

 • Feature: Automated Flows
 • Used to orchestrate waste and yield tracking actions triggered by business events.

3. Zapier

 • Feature: Webhooks & Multi-step Zaps
 • Configure zap to automate data transfer from spreadsheets to cloud databases.

4. Salesforce

 • Feature: Custom Objects & Process Builder
 • Automates recording and routing waste/yield events to relevant business units.

5. Tableau

 • Feature: Automated Data Refresh
 • Schedules yield data dashboard updates for real-time visibility.

6. AWS Lambda

 • Feature: Event-driven Function
 • Automator for instant calculation of waste/yield ratios upon new batch data.

7. Google Sheets

 • Feature: App Script Automation
 • Script automates parsing new input directly into waste analysis sheets.

8. Oracle NetSuite

 • Feature: Saved Search API
 • Scheduled automation of waste/yield KPI extraction for analytics.

9. IBM Watson IoT

 • Feature: Event Processing Rules
 • Automates sensor triggers to capture waste at critical points.

10. Slack

 • Feature: Workflow Builder Automation
 • Notifies teams via automated messaging when waste thresholds passed.

11. Power BI

 • Feature: Dataflows Automation
 • Schedules and automates real-time extraction of yield stats for reporting.

12. Infor M3

 • Feature: Business Engine APIs
 • Automates transfer of waste and yield data to centralized ERP.

13. Odoo

 • Feature: Automated Actions
 • Triggers custom scripts for yield calculations on finished goods movement.

14. Trello

 • Feature: Automation Rules
 • Creates updated cards for waste incidents based on predefined events.

15. QuickBooks

 • Feature: API Data Push
 • Automates tracking of waste cost into production expense accounts.

16. Google Cloud Functions

 • Feature: Triggered Functions
 • Runs calculation automation on batch process completion.

17. Monday.com

 • Feature: Automation Recipes
 • Generates instant status updates for yield metrics post-batch.

18. Asana

 • Feature: Rule-based Automation
 • Automatically assigns waste tracking tasks for investigations.

19. Airtable

 • Feature: Automations
 • Configured to auto-update records for every yield entry event.

20. ServiceNow

 • Feature: Flow Designer
 • Automates workflow for waste incident escalation and resolution.

21. HubSpot

 • Feature: Workflow Automation
 • Automatically sends waste trend updates to management segments via email.

Benefits

1. Streamlines and automates yield and waste analysis for informed decision-making.

2. Reduces manual entry errors with automation, increasing data accuracy.

3. Enables automated waste alerts, minimizing financial loss and compliance risks.

4. Improves operational efficiency by automating repetitive tracking and reporting.

5. Facilitates automated audits and regulatory compliance via complete digital trail.

6. Accelerates root cause analysis with automated data aggregation and anomaly detection.

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