Patents by Inventor Chris KALINSKI

Chris KALINSKI 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).

  • Publication number: 20230394411
    Abstract: In some embodiments, the present disclosure provides an exemplary method that may include steps of receiving input data for a plurality of identified data records; receiving a plurality of predetermined policy parameters associated with at least one logistics data provider of the plurality of logistics data providers; dynamically enriching the input data by aggregating current data, forecast data, and predictive data; calculating a respective risk probability value associated with each qualifying provider of the plurality of providers; generating a respective dynamic data model associated with each of the qualifying provider of the plurality of providers; dynamically determining a predetermined policy risk threshold in real time for the identified data record; automatically modifying the predetermined policy risk threshold in real time associated with the at least one qualified provider of the plurality of providers; and dynamically selecting a respective data point for each qualified provider of the pluralit
    Type: Application
    Filed: August 22, 2023
    Publication date: December 7, 2023
    Inventor: Chris KALINSKI
  • Patent number: 11734634
    Abstract: In some embodiments, the present disclosure provides an exemplary method that may include steps of receiving input data for a plurality of identified data records; receiving a plurality of predetermined policy parameters associated with at least one logistics data provider of the plurality of logistics data providers; dynamically enriching the input data by aggregating current data, forecast data, and predictive data; calculating a respective risk probability value associated with each qualifying provider of the plurality of providers; generating a respective dynamic data model associated with each of the qualifying provider of the plurality of providers; dynamically determining a predetermined policy risk threshold in real time for the identified data record; automatically modifying the predetermined policy risk threshold in real time associated with the at least one qualified provider of the plurality of providers; and dynamically selecting a respective data point for each qualified provider of the pluralit
    Type: Grant
    Filed: May 6, 2022
    Date of Patent: August 22, 2023
    Inventor: Chris Kalinski
  • Publication number: 20220374797
    Abstract: In some embodiments, the present disclosure provides an exemplary method that may include steps of receiving input data for a plurality of identified data records; receiving a plurality of predetermined policy parameters associated with at least one logistics data provider of the plurality of logistics data providers; dynamically enriching the input data by aggregating current data, forecast data, and predictive data; calculating a respective risk probability value associated with each qualifying provider of the plurality of providers; generating a respective dynamic data model associated with each of the qualifying provider of the plurality of providers; dynamically determining a predetermined policy risk threshold in real time for the identified data record; automatically modifying the predetermined policy risk threshold in real time associated with the at least one qualified provider of the plurality of providers; and dynamically selecting a respective data point for each qualified provider of the pluralit
    Type: Application
    Filed: May 6, 2022
    Publication date: November 24, 2022
    Inventor: Chris KALINSKI