Brent May is a notable inventor based in Scottsdale, AZ, who has made significant contributions to the field of commerce systems. With a total of 2 patents, he has developed innovative methods that enhance the efficiency and accuracy of demand forecasting in commercial environments.

Latest Patents

Brent May's latest patents include a "System and method of using demand model to generate forecast and confidence interval for control of commerce system." This invention focuses on transforming transactional data into forecasts and confidence intervals that help control the movement of goods within a commerce system. By analyzing transaction data such as price, product, time, and promotion, the method generates a demand forecast based on proposed pricing strategies. Additionally, it provides a confidence interval that indicates the certainty of the demand forecast, which can be graphically displayed for better understanding.

Another significant patent is the "System and method for hierarchical weighting of model parameters." This computer-implemented method estimates model parameters for products by storing transaction data from customer sales in a database. The method involves generating models for each product at each store, aggregating model parameters from different nodes of a hierarchical categorization, and storing the average of the weighted parameters in the database.

Career Highlights

Brent May is currently employed at SAP AG, where he applies his expertise in developing innovative solutions for commerce systems. His work focuses on leveraging data to improve forecasting accuracy and operational efficiency.

Collaborations

Brent has collaborated with talented individuals such as Yetkin Ileri and Jeffrey D Moore, contributing to the advancement of technology in commerce systems.

Conclusion

Brent May's innovative patents and contributions to commerce systems demonstrate his commitment to enhancing the efficiency of commercial operations. His work continues to influence the industry positively.