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 1):
A vending machine comprising:\n a processor configured to control the vending machine; a receiving module configured to receive a battery and to read battery information from a computer readable code located on the received battery, wherein the battery information is indicative of subscription information, the receiving module further configured to transmit the read battery information to the processor, wherein the processor is configured to identify a valid subscription account from the read battery information without any additional input information; and a dispensing module configured to dispense a battery in response to the receipt of the battery and the determination that the battery is associated with a valid subscription.

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): 0.3878457815534895
- 35 USC 102 Novelty (BERT): 0.5225578108097582
- Combined Prediction Score: 0.4013169844791164
- Mean Citation Score: 214.346502
- Max Citation Score: 335.79794
- Similarity Product: 232.6118860883355

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