Patents by Inventor Mariana Pop

Mariana Pop has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Systems and methods of utilizing multiple forecast models in forecasting customer demands for products at retail facilities
    Patent number: 10740773
    Abstract: In some embodiments, apparatuses and methods are provided herein useful to forecasting product demand. In some embodiments, a system comprise a forecasting control circuit to: apply each of a plurality of different models to forecast demand of a first product over a first historic period generating historic forecasted demands of the first product, wherein at least a first model uses selected one or more variables that are predicted to have an uncharacteristic effect on predicted demand; select one of the models and apply the model in generating a forecasted future demand, wherein the selection of the model is based on a difference between each of the generated historic forecasted demands and actual sales; and identify actions to modify inventory of the first product at the first shopping facility based on the forecasted future demand.
    Type: Grant
    Filed: December 2, 2016
    Date of Patent: August 11, 2020
    Assignee: Walmart Apollo, LLC
    Inventors: Ming Li, Rahul Tripathi, Anindya S. Dey, Mainak Mitra, Manish K. Barnwal, Mariana Pop, Nikesh K. Srivasatava, Stephen Steel, Yashas Bharadwaj, Aaron Ryan, Paul Schaefer, Lakshmi Bhaswanth Ramireddy
  • DYNAMIC SUPPLY CHAIN MANAGEMENT SYSTEMS AND METHODS
    Publication number: 20180101814
    Abstract: Embodiments relate to dynamic supply chain management systems and methods. The systems and methods can compile and decompose historical order data to identify causality factors that produced variability in historical order lead times or fill rates. These factors then can be applied to current orders to determine dynamic order lead time and dynamic order fill rate, and a characteristic of the order can be adjusted to provide more accuracy and reduced variability in the supply chain.
    Type: Application
    Filed: October 10, 2017
    Publication date: April 12, 2018
    Inventors: Trinadh Nadella, Ming Li, Mariana Pop, Pranay K. Chavva, Xin Yang
  • SYSTEMS AND METHODS OF UTILIZING MULTIPLE FORECAST MODELS IN FORECASTING CUSTOMER DEMANDS FOR PRODUCTS AT RETAIL FACILITIES
    Publication number: 20170169446
    Abstract: In some embodiments, apparatuses and methods are provided herein useful to forecasting product demand. In some embodiments, a system comprise a forecasting control circuit to: apply each of a plurality of different models to forecast demand of a first product over a first historic period generating historic forecasted demands of the first product, wherein at least a first model uses selected one or more variables that are predicted to have an uncharacteristic effect on predicted demand; select one of the models and apply the model in generating a forecasted future demand, wherein the selection of the model is based on a difference between each of the generated historic forecasted demands and actual sales; and identify actions to modify inventory of the first product at the first shopping facility based on the forecasted future demand.
    Type: Application
    Filed: December 2, 2016
    Publication date: June 15, 2017
    Inventors: Ming Li, Rahul Tripathi, Anindya S. Dey, Mainak Mitra, Manish K. Barnwal, Mariana Pop, Nikesh K. Srivasatava, Stephen Steel, Yashas Bharadwaj, Aaron Ryan, Paul Schaefer, Lakshmi Bhaswanth Ramireddy