PATENT CLAIM ANALYSIS

Application Number: 16113425
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["455", "456100"]

Abstract:
Systems and methods for customer touchpoint pattern and sentiment analysis are disclosed. In embodiments, a computer-implemented method comprises: detecting, by a computer device, the presence of a mobile device of a participant within a venue during a first event; monitoring, by the computing device, the location of the mobile device of the participant within the venue during the first event; detecting, by the computing device, at least one interaction event between the participant and a venue associate; recording, by the computing device, first event data including interaction event data; detecting, by the computing device, the presence of the mobile device of the participant within the venue during a second event; determining, by the computing device, one or more customer service parameters based on the first event data; and generating, by the computing device, an alert based on the one or more customer service parameters.

Claim (Index 12):
A computer program product for comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computing device to cause the computing device to:\n detect a presence of a mobile device of a participant within a venue during a first event; detect at least one interaction event within a physical space of the venue during the first event between the participant and a venue associate, wherein detecting the at least one interaction event comprises detecting that the mobile device of the participant is within a threshold distance of a mobile device of the venue associate for a predetermined amount of time during the first event; record first event data, including interaction event data of the at least one interaction event, in a touchpoint database; detect the presence of the mobile device of the participant within the venue during a second event; determine sentiment data indicative of sentiment of the participant with respect to the venue associate based on the first event data; generate an alert based on the sentiment data; and send a notification based on the alert.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 2.89655
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15399264', '15181037', '15334954', '13889168', '15216056']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6303816218813083
- 35 USC 102 Novelty (BERT): 0.5811720395879572
- Combined Prediction Score: 0.6254606636519732
- Mean Citation Score: 237.991584
- Max Citation Score: 466.41382
- Similarity Product: 426.1756721349871

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