Location History:
- Phoenix, AZ (US) (2012)
- Scottsdale, AZ (US) (2012)
Company Filing History:
Years Active: 2012
Title: Neil Primozich: Innovator in Commerce System Forecasting
Introduction
Neil Primozich is a notable inventor based in Phoenix, AZ, who has made significant contributions to the field of commerce system forecasting. With a total of 2 patents, his work focuses on enhancing the efficiency of supply and demand models within commerce systems. His innovative approaches have the potential to transform how goods are managed and forecasted in various markets.
Latest Patents
Primozich's latest patents include a "System and method of model forecasting based on supply and demand." This computer-implemented method transforms transactional data and supply data into a forecast of demand for controlling a commerce system. The method records transactional data related to the movement of goods, including customer store, product, time, price, promotion, and merchandising. It also captures supply data, such as inventory and product availability. By estimating model parameters based on this data, the method generates forecasts that account for out-of-stock conditions and promotional activities.
Another significant patent is the "System and method for transaction log cleansing and aggregation." This method prepares data for modeling by storing customer sales transaction data in a database and retrieving it for analysis. It includes cleansing the dataset to remove erroneous entries and aggregating the data across various dimensions, such as store and product. This process allows for accurate predictions of subsequent sales transactions.
Career Highlights
Neil Primozich is currently employed at SAP AG, where he applies his expertise in data modeling and forecasting. His work at SAP AG has positioned him as a key player in developing innovative solutions for commerce systems. His contributions have been instrumental in advancing the company's capabilities in data-driven decision-making.
Collaborations
Primozich collaborates with talented professionals such as David Ginsberg and Prashant Warier. These collaborations enhance the innovative environment in which he works, fostering the development of cutting-edge solutions in the field of commerce forecasting.
Conclusion
Neil Primozich's contributions to the field of commerce system forecasting through his patents and work at SAP AG highlight his role as an influential inventor. His innovative methods for demand forecasting and data cleansing are paving the way for more efficient commerce systems.