PATENT CLAIM ANALYSIS

Application Number: 15991929
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["705", "043000"]

Abstract:
Systems and methods are provided for facilitating alternative payment submissions. According to a one aspect, a selection by a purchaser of one or more items is received, one or more characteristics associated with the purchaser are processed to determine a reliability of the purchaser, and an option to provide payment for the one or more items by way of a first payment method in lieu of a second payment method is selectively provided to the purchaser based on the determined reliability, the second payment method corresponding to a payment method requiring the purchaser to provide banking information and the first payment method corresponding to a payment method not requiring the purchaser to provide banking information. Other embodiments of the various aspects include corresponding systems, apparatus, and computer program products.

Claim (Index 25):
The method of  claim 24 , further comprising:\n storing, by the processor executing code, the unique identifier in at least one database; processing, by the processor executing code, the input information to determine that the input that was received at the automated teller machine matches the unique identifier stored in the at least one database.

Metadata:
- Claim Count in Document: 49.0
- Percentile: 93.0
- Lexical Diversity: 2.2623
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13767052', '12712990', '09939782', '13271284', '12641071']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1072530066291329
- 35 USC 102 Novelty (BERT): 0.5615623290257791
- Combined Prediction Score: 0.1526839388687975
- Mean Citation Score: 228.33026400000003
- Max Citation Score: 401.62985
- Similarity Product: 332.6360589401424

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

Dataset: test