PATENT CLAIM ANALYSIS

Application Number: 15880115
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["705", "017000"]

Abstract:
A method of optimizing future profits may include receiving an order inquiry and/or data of the user at a server device, including one or more product of interest, and training a machine learning model by analyzing labeled data. The method may include analyzing the data of the user and at least one product of interest using the trained machine learning model to generate a discounted price for the product of interest that is lower than the credit card price of the product of interest, and/or a credit limit associated with the user. The discounted price and/or credit limit may be transmitted to a user device, and an economizer selection may be received which circumvents the usage of a credit card, and a withdrawal request and/or deposit request may be initiated in response to the economizer selection.

Claim (Index 1):
A computer-implemented method of improving the profitability of a sale, the method comprising:\n receiving an order inquiry and user data at a server device, wherein the order inquiry includes at least one product of interest, training, by the server device, a machine learning model by analyzing labeled data, analyzing the order inquiry and user data using the trained machine learning model to generate checkout options including at least an economizer price with respect to the product of interest and a credit card price with respect to the product of interest, transmitting the checkout options to a user device, receiving, via an input device of the user device, an economizer selection, the economizer selection including at least one determinate price with respect to the at least one product of interest; and in response to the economizer selection, one or both of (i) initiating a withdrawal of funds from a first ledger, and (ii) initiating a deposit of funds into a second ledger.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 86.0
- Lexical Diversity: 2.11765
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15442326', '09579787', '11333956', '13102118', '11474780']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1119681188363113
- 35 USC 102 Novelty (BERT): 0.4775298018109334
- Combined Prediction Score: 0.1485242871337735
- Mean Citation Score: 188.793872
- Max Citation Score: 191.63431
- Similarity Product: 140.8701244895333

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test