---
name: shipment-visibility-tracker-8da07d5e3a7c
description: Real-time shipment monitoring and exception management skill with proactive alerting and customer communication
allowed-tools:
  - Read
  - Write
  - Glob
  - Grep
  - Bash
  - WebFetch
metadata:
  specialization: logistics
  domain: business
  category: transportation
  priority: high
graph:
  domains: [domain:logistics]
  skillAreas: [skill-area:procurement-management, skill-area:data-analytics, skill-area:customer-success]
  roles: [role:supply-chain-analyst, role:operations-analyst, role:customer-success-manager]
---

# 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

```yaml
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


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Operations, Sales
Roles: Business Development, Customer Success Manager, Operations Manager, Supply Chain Manager
Specialties: Specialty not specified
Tools: Fourkites, Project44, SendGrid, Twilio
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 5dbab313e5b828ca54d4f341cfd358a378d80d7e89c2f7885a23108f4009c61a