How to Automate Track & Trace in Logistics: Step-by-Step Guide

Tracking and tracing shipments is one of the most critical processes in logistics. Customers expect real-time visibility of their cargo, while operations teams need instant alerts to respond to delays, port congestion, or customs holds.
How to Automate Track & Trace in Logistics: Step-by-Step Guide

Introduction

The problem: many companies still rely on manual tracking—checking carrier portals, copying updates into spreadsheets, and sending emails. This is inefficient and prone to errors.

By automating Track & Trace, you can connect carrier updates directly into your TMS/CRM, trigger alerts, and provide customers with real-time status without manual effort.

Step 1: Map the Workflow

  1. Trigger: Carrier or tracking API sends shipment status update.

  2. Data Capture: Collect ETA, location, milestones (departed, arrived, customs cleared).

  3. System Update: Sync with TMS/CRM.

  4. Notifications: Send proactive alerts via email, Slack, Teams, or WhatsApp.

  5. Customer Portal: Display live status updates automatically.

Map the Workflow

Step 2: Choose Your Tools

  • Tracking APIs: AfterShip, project44, FourKites, Shippo, Linbis.

  • TMS/CRM: Linbis Workspace, CargoWise, HubSpot, Salesforce.

  • Automation Platforms: Zapier, Make, Power Automate.

  • Messaging: Slack, Teams, Twilio WhatsApp, Email.

  • Visualization: Google Sheets dashboards, BI tools (Power BI, Looker).

Step 3: Build the Automation (Example in Make)

  1. Trigger: Connect to AfterShip or project44 API.

    • Pull shipment status updates (In Transit, Out for Delivery, Delivered, Exception).

  2. Update TMS/CRM:

    • Send update to Linbis or Salesforce via connector.

    • Match shipment ID with customer record.

  3. Proactive Notifications:

    • If status = “Exception” → send Slack alert to operations channel.

    • If status = “Delivered” → send WhatsApp/email confirmation to customer.

  4. Update Dashboard:

    • Push updates into Google Sheets or BI dashboard for real-time visualization.

  5. Archive:

    • Store final delivery proof in Drive/SharePoint.

Build the Automation

Step 4: Test the Workflow

  • Simulate a shipment delay.

  • Verify that alert is sent to operations team.

  • Confirm that customer receives proactive delivery updates.

  • Check that CRM/TMS record is updated.

Step 5: Optimize

  • Add ETA recalculation based on traffic/weather APIs.

  • Use AI anomaly detection to flag shipments likely to miss deadlines.

  • Automate post-delivery surveys for customer feedback.

Optimize

Benefits of Track & Trace Automation 📈

  • Customer Transparency: Live updates build trust and reduce calls.

  • Operational Efficiency: Teams spend less time manually checking carriers.

  • Faster Problem Resolution: Exceptions are flagged instantly.

  • Scalability: Handle thousands of shipments without adding staff.

  • Data-Driven Insights: Historical tracking data improves planning and forecasting.

Conclusion

Automating Track & Trace transforms logistics visibility. By integrating carrier APIs with your TMS/CRM and setting up real-time notifications, you eliminate manual tracking and deliver superior service.

With tools like AfterShip, project44, Zapier, and Linbis, you can create a connected system that updates itself, keeps customers informed, and gives your team time to focus on solving real problems instead of checking portals.

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