Michael K Grant

Title: Michael K Grant: Innovator in Retail Recommendation Systems

Introduction

Michael K Grant is a notable inventor based in Austin, TX, who has made significant contributions to the field of data processing systems, particularly in the realm of online shopping recommendations. With a total of 2 patents, Grant's work focuses on enhancing the customer shopping experience through effective recommendation algorithms.

Latest Patents

One of Grant's latest patents is titled "System and method for generating effective recommendations." This innovative data processing system generates recommendations for online shopping by scoring items based on various criteria, including item availability, price, relevance, and customer history. The system ranks and filters these recommendations to present the most suitable options to the customer, ensuring a personalized shopping experience.

Another significant patent is the "Retail recommendation domain model." This patent describes a system that normalizes low-resolution transaction data into high-resolution datasets. By creating a shared domain model, the recommendation engine can process attribute-based representations to deliver specific and relevant recommendations. This approach allows for intelligent application of past order history to current orders, enhancing the effectiveness of marketing strategies.

Career Highlights

Michael K Grant is currently employed at Versata Development Group, Inc., where he continues to innovate in the field of data processing and recommendation systems. His work has been instrumental in developing technologies that improve the efficiency and effectiveness of online retail.

Collaborations

Throughout his career, Grant has collaborated with notable colleagues, including Neil C Thier and Sherrill J Packebush. These partnerships have contributed to the advancement of his projects and the overall success of the innovations developed at Versata Development Group.

Conclusion

Michael K Grant's contributions to the field of retail recommendation systems demonstrate his commitment to enhancing the online shopping experience. His innovative patents and collaborative efforts continue to shape the future of data processing in retail.