Compare 71lbs vs. TruEra

Cut down on shipping expenses with FedEx, UPS, Amazon FBA, and USPS. Our primary offerings encompass Shipping Refunds, Contract Negotiations, Lost and Damaged claims, and various other cost-saving services designed specifically for businesses. We take pride in having helped our clients save over $50 million in shipping expenses. Discover how much you could potentially save. Operating on a contingency model, you only incur costs based on the savings that our service, 71lbs, generates for your company. Our Shipping Assessment includes anticipated refunds and savings from carrier agreements. In collaboration with Carnegie Mellon, we've refined our logic and algorithms to optimize savings, backed by a dedicated team of human shipping advocates! Our data scientists, in partnership with Carnegie Mellon University, have crafted algorithms that maximize your chances of obtaining the most competitive rates available through your carrier contracts. By harnessing collective resources, we empower small and medium-sized businesses to significantly reduce their shipping costs while enhancing their operational efficiency. Let us help you navigate the complexities of shipping to unlock greater savings for your business.

An advanced machine learning monitoring system is designed to simplify the oversight and troubleshooting of numerous models. With unmatched explainability accuracy and exclusive analytical capabilities, data scientists can effectively navigate challenges without encountering false alarms or dead ends, enabling them to swiftly tackle critical issues. This ensures that your machine learning models remain fine-tuned, ultimately optimizing your business performance. TruEra's solution is powered by a state-of-the-art explainability engine that has been honed through years of meticulous research and development, showcasing a level of accuracy that surpasses contemporary tools. The enterprise-grade AI explainability technology offered by TruEra stands out in the industry. The foundation of the diagnostic engine is rooted in six years of research at Carnegie Mellon University, resulting in performance that significantly exceeds that of its rivals. The platform's ability to conduct complex sensitivity analyses efficiently allows data scientists as well as business and compliance teams to gain a clear understanding of how and why models generate their predictions, fostering better decision-making processes. Additionally, this robust system not only enhances model performance but also promotes greater trust and transparency in AI-driven outcomes.