[ShipperGuide] Using FreightIntel.AI

  • Updated

In this article, you will see an overview of the FreightIntel.AI feature, and also learn its benefits and how to use it to have more insights from your transportation data.

Overview

FreightIntel.AI (FI.AI) is an innovative freight analytics solution included in the ShipperGuide solution at no additional cost for now. It is designed to provide actionable insights from your transportation data. This advanced tool offers easy-to-understand recommendations for cost savings and optimization opportunities without the need for extensive direction or analysis.

Rest assured, your data is safeguarded under our SOC2 compliance standards, ensuring regular assessments and high levels of security. 

How It Works

FreightIntel.AI simplifies the analysis process by allowing you, as a shipper, to upload your logistics data or integrate directly with existing data sources. The platform leverages both your data and Loadsmart’s extensive benchmarking dataset to generate tailored insights. Key features include:

  • Identification of shipment clusters with above-market rates
  • Analysis of accessorial costs tied to specific carriers
  • Exploration of backhaul and consolidation opportunities
  • Performance assessments, including on-time delivery metrics
  • Mode optimization and routing guide enhancements

It’s accessible in the sidebar and analyzes historical data to deliver tailored insights automatically. You just need to:

  1. Log into your ShipperGuide Account
  2. Access the menu “Analytics”, and choose the option FreightIntel.AI

To learn more, you can view a demo of the product here:

Benefits of FreightIntel.AI

FreightIntel.AI delivers immediate, unbiased evaluations of your freight spending. Shippers can expect potential cost reductions of 3-15% and labor optimization savings of 10-20%.

Ideal Use Cases

FreightIntel.AI is perfect for organizations that:

  • Have extensive logistics data but struggle to identify optimization opportunities.
  • Want ongoing cost-saving insights rather than annual evaluations.
  • Utilize legacy TMS systems with cumbersome reporting.
  • Rely on third-party logistics providers and need to ensure accountability.

For any questions, please reach out to our support team.

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