AI Powered Real Time Shipment Tracking and Visibility Workflow

Real-Time Shipment Tracking and Visibility

1. Initiation of Shipment

1.1 Order Placement

Customers place orders through an online platform or ERP system.

1.2 Data Entry

Order details are entered into the logistics management system.

2. Shipment Preparation

2.1 Inventory Check

AI-driven tools such as IBM Watson Supply Chain analyze inventory levels in real-time to ensure product availability.

2.2 Packaging and Labeling

Automated systems generate shipping labels using AI, ensuring accuracy and compliance with shipping regulations.

3. Shipment Dispatch

3.1 Route Optimization

AI algorithms, such as those from Project44, calculate the most efficient delivery routes, taking into account traffic patterns and weather conditions.

3.2 Carrier Assignment

AI tools match shipments with the best carriers based on performance metrics and cost analysis.

4. Real-Time Tracking

4.1 GPS and IoT Integration

Shipments are equipped with GPS and IoT devices that provide real-time location updates.

4.2 Data Aggregation

AI systems aggregate data from various sources, such as FourKites, to provide a comprehensive view of shipment status.

5. Customer Notification

5.1 Automated Alerts

AI-driven communication tools send automated notifications to customers regarding shipment status changes.

5.2 Customer Portal Access

Customers can access a web portal powered by AI that displays real-time tracking information and estimated delivery times.

6. Issue Resolution

6.1 Anomaly Detection

AI systems utilize machine learning to detect anomalies in shipment data, such as delays or route deviations.

6.2 Proactive Communication

When issues are detected, AI tools automatically notify relevant stakeholders and suggest corrective actions.

7. Post-Delivery Analysis

7.1 Performance Review

AI analytics tools assess shipment performance metrics to identify areas for improvement.

7.2 Feedback Loop

Customer feedback is collected and analyzed using AI to enhance future shipment processes.

8. Continuous Improvement

8.1 Data-Driven Insights

AI systems generate insights based on historical data, helping to refine logistics strategies.

8.2 Technology Upgrades

Regular assessments of AI tools and technologies ensure the logistics process remains efficient and competitive.