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shipment-visibility-tracker

Apps & Automation
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Real-time shipment monitoring and exception management skill with proactive alerting and customer communication

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Source SKILL.md: https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/domains/business/logistics/skills/shipment-visibility-tracker/SKILL.md

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Shipment Visibility Tracker

Overview

The Shipment Visibility Tracker provides real-time shipment monitoring and exception management capabilities with proactive alerting and automated customer communication. It integrates with multiple carriers and tracking sources to deliver comprehensive visibility across the supply chain.

Capabilities

  • Multi-Carrier Tracking Integration: Consolidate tracking data from multiple carriers, modes, and tracking sources into a unified view
  • ETA Prediction with ML Models: Use machine learning to predict accurate estimated arrival times based on historical patterns and current conditions
  • Exception Detection and Alerting: Automatically detect shipment exceptions such as delays, damage, or route deviations and trigger appropriate alerts
  • Proof of Delivery Capture: Capture and store proof of delivery documentation including signatures, photos, and timestamps
  • Milestone Event Tracking: Track and record shipment milestone events from pickup through final delivery
  • Customer Notification Automation: Automatically send status updates and notifications to customers via email, SMS, or portal
  • Performance Analytics Dashboards: Provide visibility into carrier performance, transit times, and exception rates

Tools and Libraries

  • Tracking APIs (Project44, FourKites)
  • GPS/Telematics Integration
  • Visibility Platforms
  • Notification Services (Twilio, SendGrid)

Used By Processes

  • Shipment Tracking and Visibility
  • Last-Mile Delivery Optimization
  • Carrier Selection and Procurement

Usage

skill: shipment-visibility-tracker
inputs:
  shipment:
    shipment_id: "SHP-2026-12345"
    carrier: "CARRIER001"
    tracking_number: "1Z999AA10123456784"
    origin: "Chicago, IL"
    destination: "New York, NY"
    planned_delivery: "2026-01-25T14:00:00Z"
  monitoring:
    alert_on_delay_hours: 2
    customer_notification: true
    notification_milestones: ["picked_up", "in_transit", "out_for_delivery", "delivered"]
outputs:
  current_status:
    status: "in_transit"
    location: "Toledo, OH"
    last_update: "2026-01-24T08:30:00Z"
    predicted_eta: "2026-01-25T12:30:00Z"
    eta_confidence: 92
  milestones:
    - event: "picked_up"
      timestamp: "2026-01-23T15:00:00Z"
      location: "Chicago, IL"
    - event: "departed_facility"
      timestamp: "2026-01-24T02:00:00Z"
      location: "Chicago Distribution Center"
  exceptions: []
  notifications_sent:
    - type: "status_update"
      channel: "email"
      timestamp: "2026-01-24T08:35:00Z"

Integration Points

  • Transportation Management Systems (TMS)
  • Carrier Tracking APIs
  • Customer Portals
  • Order Management Systems
  • IoT/GPS Devices

Performance Metrics

  • Tracking data accuracy
  • ETA prediction accuracy
  • Exception detection rate
  • Customer notification timeliness
  • Visibility coverage percentage