Visibility Before Optimization

You cannot optimize what you cannot see. Most transportation managers have two data problems:

1. 1.Fragmented data — freight invoices arrive in different formats from dozens of carriers. Matching invoices to shipments to orders to customers requires significant data engineering.
2. 2.Missing context — raw freight data tells you what you spent, but not why. Was that $3,500 shipment expensive because of distance, weight, accessorials, peak-season surcharges, or a carrier rate increase?

AI-powered freight analytics platforms address both issues by normalizing invoice data, matching it to shipment records, and decomposing costs into component drivers.

Building an AI Freight Analytics Framework