PATENT CLAIM ANALYSIS

Application Number: 15870573
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["700", "237000"]

Abstract:
Two-way exchange vending can be performed by a two-way exchange based vending machine. The two-way exchange based vending machine can vend rechargeable batteries. The two-way exchange based vending machine can include different modules to perform different functionalities. The two-way exchange based vending machine can include a communications module, a dispensing module, a rejection module, and a receiving module. The communications module can communicate information to and receive inputs from a user. The dispensing module can dispense one or more rechargeable batteries or other requested products to a user. The receiving module can receive one or more rechargeable batteries from a user.

Claim (Index 7):
A method of using a vending machine, the method comprising:\n receiving a battery, wherein said receiving comprises: reading a computer readable code located on the battery, the computer readable code encoding information indicative of subscription information; identifying a valid subscription account from the computer readable code, wherein the valid subscription can be identified without any additional input information; determining if the received battery is acceptable; and dispensing a requested battery, wherein said dispensing comprises:\n dispensing a charged battery of the same type as the received battery in response to the determination of the valid subscription associated with the battery and the acceptability of the battery.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 86.0
- Lexical Diversity: 2.64286
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14386762', '13150930', '15355631', '14331012', '15419744']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3879027007932523
- 35 USC 102 Novelty (BERT): 0.5248872918892128
- Combined Prediction Score: 0.4016011599028483
- Mean Citation Score: 214.346502
- Max Citation Score: 335.79794
- Similarity Product: 204.6683009795451

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

Dataset: test