Seattle, WA, United States of America

Daniel M Grossman


Average Co-Inventor Count = 6.0

ph-index = 2

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2012

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2 patents (USPTO):Explore Patents

Title: The Innovations of Daniel M Grossman

Introduction

Daniel M Grossman is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of demand forecasting, holding 2 patents that showcase his innovative approach to predicting product demand. His work is particularly relevant in today's fast-paced market, where accurate forecasting can lead to better inventory management and customer satisfaction.

Latest Patents

Daniel's latest patents focus on enhancing the accuracy of demand forecasts for product groups. One of his inventions involves generating a global demand forecast for a product group, utilizing historical relationships between aggregate product-level demand forecasts and actual demand. This method adjusts a critical ratio that expresses the probability of a product-level demand forecast exceeding actual demand. Another patent presents various embodiments to refine product demand forecasts by determining the value of an aggregation of product-level forecasts at a desired critical ratio. This innovative approach ensures that the forecasts align with historical data, improving their reliability.

Career Highlights

Daniel M Grossman is currently employed at Amazon Technologies, Inc., where he applies his expertise in demand forecasting to enhance the company's operational efficiency. His work at Amazon has positioned him as a key player in the development of advanced forecasting systems that benefit the organization and its customers.

Collaborations

Throughout his career, Daniel has collaborated with notable colleagues, including Hoi-Cheung Pang and Sanjay Dash. These partnerships have allowed him to leverage diverse expertise and drive innovation in his projects.

Conclusion

Daniel M Grossman is a prominent inventor whose work in demand forecasting has made a significant impact on the industry. His patents reflect a deep understanding of market dynamics and a commitment to improving forecasting accuracy. His contributions continue to influence the way companies manage product demand and inventory.

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