Case Study

Anomaly Detection Catches Carrier Costing 50X the Agreed-Upon Rates

machine learning models detected a new carrier was 50 times more expensive than any of the five agreed-upon rates for the lane

Why You Need This Case Study:

Learn how Intelligent Audit used machine learning to detect how one new carrier was 50 times more expensive than any of the five agreed-upon rates for the lane, so costs spiked significantly for one day on an infrequently used lane.

Fill Out The Form Below To Download Your Copy

a square of dots
you may also enjoy

More Content Like This

high volume parcel shipping real time transportation visibility
1.12.23

A Large High-Tech Company Relies On Real‐time Visibility to Drive Improved Exception Management

Case Study
a square of dots
National Food Retailer Scale Its Logistics Network Seasonally
4.14.22

Deeper Dive Into Data For National Food Retailer Fuels Parcel Savings

Case Study
a square of dots
detention fees
12.11.22

Detention! Anomaly Detection Catches a 10X Spike in Detention Fees

Case Study
a square of dots

Never Miss an Update

resources
Subscribe Now