Case Study

Apples to Oranges: Anomaly Detection Unveiled $1000+ in Hidden Fees

machine learning models detected $1000 in hidden shipping fees

Why You Need This Case Study:

Our global retail customer’s procurement team executed a carrier RFP which asked for “apple-to-apples” rates that would reflect an all-in cost. Thinking they were comparing apples-to-apples pricing, our customer started using a new carrier that was significantly cheaper than the other carriers who bid on the same lane. When extra beyond charges caused a spike in costs, the customer learned the carrier’s price was not ‘all-in’ after all.

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