Matthew Wean

Title: The Innovations of Matthew Wean

Introduction

Matthew Wean is an accomplished inventor based in San Francisco, California. He has made significant contributions to the field of machine learning and online retail through his innovative patent. His work focuses on optimizing pricing strategies for retailers, enhancing the shopping experience for consumers.

Latest Patents

Matthew Wean holds a patent titled "Counterfactual evaluation of policies for categories of items using machine learning prediction of outcomes." This patent describes an online concierge system that fulfills orders for items offered by retailers. The system may increase the price of an item in certain instances by applying a markup based on a pricing policy for a category that includes the item. To optimize the application of these pricing policies, the system categorizes items and utilizes an outcome model to analyze combinations of categories and pricing policies. The system then selects a set of categories and corresponding pricing policies, determining necessary modifications to enforce constraints across multiple pricing policies.

Career Highlights

Matthew Wean is currently employed at Maplebear Inc., where he continues to develop innovative solutions in the realm of online retail. His expertise in machine learning and pricing strategies has positioned him as a valuable asset to the company.

Collaborations

Matthew has collaborated with notable colleagues, including Cameron Nicholas Taylor and Robert Fletcher. Their combined efforts contribute to the advancement of technology in the retail sector.

Conclusion

Matthew Wean's innovative work in machine learning and pricing strategies showcases his commitment to enhancing the online shopping experience. His patent reflects a forward-thinking approach that could revolutionize how retailers manage pricing policies.