PATENT CLAIM ANALYSIS

Application Number: 15916632
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["709", "224000"]

Abstract:
Techniques are described herein for generating service tickets. Embodiments include receiving first button data from an internet-of-things (IOT) button, the first button data comprising button identification information that uniquely identifies the IOT button and first button state information that specifies a button state, from a plurality of button states, of the IOT button, wherein the first button data corresponds to a first button press of the IOT button. The first button data is processed using a custom function associated with a service provider to cause: determining, based on the button identification information, a service location associated with the first button press; determining, based on the first button state information, a service issue associated with the first button press; and generating a service ticket corresponding to the first button press, wherein the service ticket indicates the service location and the service issue.

Claim (Index 14):
The system of  claim 13  wherein providing the feedback to the user comprises one or more of:\n causing the IOT button to indicate the service ticket was generated, or \n causing a device at the service location to indicate the service ticket was generated.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 90.0
- Lexical Diversity: 2.63333
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15138894', '14871972', '12138213', '14408654', '15360653']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2577339440496369
- 35 USC 102 Novelty (BERT): 0.4808632990888842
- Combined Prediction Score: 0.2800468795535616
- Mean Citation Score: 116.4227808
- Max Citation Score: 118.01066000000002
- Similarity Product: 72.47387493475676

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

Dataset: test