PATENT CLAIM ANALYSIS

Application Number: 16427965
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-09
Patent Classification: ["704", "009000"]

Abstract:
A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of providing automated natural dialogue with a customer. The system may generate one or more events and commands temporarily stored in queues to be processed by one or more of a dialogue management device, an API server, and an NLP device. The dialogue management device may create adaptive responses to customer communications using a customer context, a rules-based platform, and a trained machine learning model.

Claim (Index 7):
A system for automating natural language dialogue with a customer, comprising:\n one or more processors; and memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, are configured to cause the system to:\n responsive to receiving an incoming customer dialogue message in an interaction, generate a first event to be placed in an event queue, the event queue being monitored by a dialogue management device, the dialogue management device comprising:\n a trained machine learning model; and \n data indicative of a customer context, the data derived from financial customer information comprising customer conversation history; \n \n responsive to processing the first event, generate, by the dialogue management device and based on one or more of the trained machine learning model or the customer context, a first command to be placed in a command queue, wherein the command queue comprises one or more commands for execution by one or more of a natural language processing device, an API server, or a communication interface; \n responsive to processing the first command, determining the meaning of the incoming customer dialogue message based on the customer context; \n responsive to determining the meaning of the incoming customer dialogue message, generate, by the dialogue management device and based on one or more of trained machine learning model or the customer context, a response dialogue message based on a predictive analysis of one or more determined needs of the customer; and \n transmit the response dialogue message via a communication channel that was used to deliver the incoming customer dialogue message.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 1.65517
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15665960', '15997032', '16420290', '16026198', '15916521']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2674179344428298
- 35 USC 102 Novelty (BERT): 0.5235936598177644
- Combined Prediction Score: 0.2930355069803233
- Mean Citation Score: 254.206318
- Max Citation Score: 349.77475
- Similarity Product: 342.6706633990556

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