Lawrie Crate

Title: Lawrie Crate: Innovator in Shipping Cost Estimation

Introduction

Lawrie Crate is an accomplished inventor based in Palo Alto, California. He has made significant contributions to the field of shipping cost estimation through innovative use of machine learning techniques. His work has the potential to streamline online transactions and enhance the buyer-seller experience.

Latest Patents

Lawrie Crate holds a patent for a system, method, and computer program product that estimates shipping costs of items purchased in an online market using machine learning. This patent focuses on determining the dimensional weight of an item in real-time, utilizing a machine learning model that analyzes past transactions. The model is designed to implement a bias towards heavier estimations to prevent undercharging for shipping costs. Additionally, one embodiment of the patent includes a local shipping feature that allows for same-day delivery by integrating local carriers.

Career Highlights

Lawrie Crate is currently employed at Mercari, Inc., where he continues to develop innovative solutions in the e-commerce space. His work at Mercari emphasizes the importance of efficient shipping processes in enhancing customer satisfaction and operational efficiency.

Collaborations

Lawrie has collaborated with notable colleagues, including Mohammad-Mahdi Mozzami and Masanori Uehara, who contribute to the innovative environment at Mercari, Inc. Their teamwork fosters a culture of creativity and problem-solving.

Conclusion

Lawrie Crate's contributions to shipping cost estimation through machine learning exemplify the impact of innovation in the e-commerce industry. His work not only improves transaction efficiency but also enhances the overall experience for buyers and sellers alike.