Nicolás García Aramouni

Title: Nicolás García Aramouni: Machine Learning for Promotional Demand Forecasting.

Introduction

Nicolás García Aramouni is an inventor based in Woonsocket, Rhode Island. His patent work addresses the use of machine learning and artificial intelligence to forecast product demand during marketing promotions. He is associated with CVS Pharmacy, Inc.

Latest Patents

García Aramouni is named on 1 patent: “Systems and Methods for Using Machine Learning Algorithms to Forecast Promotional Demand of Products.” The invention describes a method for selecting forecasting models based on a product’s segment and using promotion information to estimate how much of the product should be supplied to storefronts. The resulting product information is then provided to computing systems associated with those storefronts.

Career Highlights

His disclosed patent focuses on applying product segmentation and promotional forecasting models to retail supply planning. By connecting promotion details with predicted demand, the method is designed to help determine product quantities for storefronts.

Collaborations

Samta Shukla and Mukul Sankule are identified as García Aramouni’s coworkers. The patent description outlines a forecasting process involving product segments, machine-learning models, and facility computing systems.

Conclusion

Nicolás García Aramouni’s patent work centers on using machine learning to forecast promotional product demand and inform retail distribution decisions.