Case Study: a leading specialty pet retailer reduces shipping anomalies with Intelligent Audit

A Intelligent Audit Case Study

Preview of the Leading Specialty Pet Retailer Case Study

How Machine Learning Can Become Your Strongest Tool

A leading specialty pet retailer faced the challenge of managing its complex, multi-carrier shipping strategy and controlling a transportation spend of approximately $150 million annually. They partnered with Intelligent Audit to achieve a cost-effective next-day ground footprint and to proactively identify issues within their shipping data.

Intelligent Audit implemented its proprietary machine learning algorithms, which detected an anomalous spike in UPS shipping correction charges. This real-time detection allowed the retailer to quickly investigate and resolve the issue, preventing a significant and ongoing financial loss that had reached nearly five times the normal weekly cost. Intelligent Audit provided the crucial technology and expert partnership that enabled the customer to safeguard its supply chain finances.


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