Exceptions Management Business Overview

Last updated: August 18, 2025

AI-Enabled Live Shipment Monitoring w/ Proactive & Targeted Intervention

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The Problem

  • Standard control towers overwhelm users with device alerts and notifications. It's hard to decipher what matters and what can be ignored.

  • Monitoring shipments can be expensive and highly manual.

  • In many control towers, it's extremely difficult to perform investigations into shipping data to determine what cause a temperature excursion.

  • Most solutions are reactive, and they only tell a user about an excursion or adverse event after it occurs.

Features:

Feature:

Details:

Color Coded Risk Classification

All shipments are classified in near teal time as Off-Track (Red), At-Risk (Yellow), or On-Track (Green) - via multi-factor analysis.

Risk Summary

Short context statements and recommendations in accordance with Standard Operation Procedures (SOP's).

Predictive Temperature Excursions

Predict a temperature excursion 2-4 hours in advance for shipments paired with an IoT tracking device.

Predictive Time of Arrival

Predicted your estimated time of arrival with an online learning model capable learning patterns on your lanes.

External Risk Factors

Understand how geopolitical events, weather, traffic, and delays will impact your live shipment.

Live Risk Event Timeline

All Live Risk events displayed in a sequential timeline, group into 'Needs Attention' and 'Needs Immediate Action.'

Event Summary

Event details, supporting & impact data compiled in one window.

Action Tracker

Action, assign, or resolve issues that arise.

See the User Guides:

📄 Understanding Shipment Summary and Live Risk Events

📄 Live Risk Business Logic Overview

Value Prop:

Quickly identify problem shipments, triage and act with confidence.

  • Shipment performance and risk algorithm enabling proactive monitoring and exceptions management.

  • Replaces device alerts and noise with a more reliable shipment risk proxy, minimizing monitoring overhead.

  • Proactively prevent temperature excursions and delays before they occur, reducing product loss and improving OTIF.

  • Ramp down monitoring programs that may cost upwards of $200 p/shipment

Next Up...

For a deep dive on the PAXAFE value proposition, check out our Return on Investment guide:

📄 PAXAFE ROI - The Value