Patents by Inventor Amit Botzer

Amit Botzer 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: 20230316154
    Abstract: A first dataset associated with input data provided to a data-driven machine-learning model (MLM) that provides a service to a first tenant is obtained. A second dataset is obtained for a second tenant. Each set of input data from the datasets are labeled with an identifier for the first tenant or the second tenant. The first dataset and second dataset are aggregated into a training dataset to train a classification MLM to classify each set of input data as originating from the first tenant or the second tenant. The classification MLM is tested for accuracy. Based on the accuracy of the classification MLM, a determination is provided as to whether the data-driven MLM can be used with the second tenant without adjustments to the data-driven MLM or as to whether adjustments to the data-driven MLM are needed before using the data-driven MLM.
    Type: Application
    Filed: April 5, 2022
    Publication date: October 5, 2023
    Inventors: Shiran Abadi, Amit Botzer, Tamar Miriam Haizler
  • Publication number: 20230105138
    Abstract: Average processing times associated with components of a transactions are maintained as performance metrics for the transactions. Ratios associated with the average processing times are normalized based on calendar dates, days of week, and times of day. A given transaction is analyzed in view of the averages and ratios and a bottleneck is identified within a time slice of the given transaction. A type of bottleneck detected within the time slice is further identified based on identifiers associated with resources of the time slice and a pattern associated with one or more of the identifiers. The transaction, time slice, type of bottleneck, and resource identifiers are reported to a retailer associated with a transaction terminal that processed the transaction through an interface.
    Type: Application
    Filed: September 30, 2021
    Publication date: April 6, 2023
    Inventors: Itamar David Laserson, Roee Ben Shlomo, Amit Botzer, Shay Marom
  • Publication number: 20230029777
    Abstract: The probabilities of transitioning between item states for a given item sequence of a given transaction are calculated and item non-fraud scores are calculated from the probabilities for each item of the given transaction. The item non-fraud scores for the items of the transaction are provided to a fraud-detection system for determining whether any of the item non-fraud scores is more likely or less likely to be associated with sweethearting fraud by a cashier that performed the transaction.
    Type: Application
    Filed: July 30, 2021
    Publication date: February 2, 2023
    Inventors: Shiran Abadi, Itamar David Laserson, Amit Botzer
  • Publication number: 20230030327
    Abstract: The probabilities of transitioning between states of a given transaction sequence for a given transaction are calculated and a non-fraud score is calculated from the probabilities. The non-fraud score is provided to a fraud-detection system for determining whether the transaction sequence is more likely or less likely to be associated with fraud.
    Type: Application
    Filed: July 30, 2021
    Publication date: February 2, 2023
    Inventors: Shiran Abadi, Itamar David Laserson, Amit Botzer