PATENT CLAIM ANALYSIS

Application Number: 15894749
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["235", "375000"]

Abstract:
The stages of an interaction between a potential customer (the user) and a sales representative (the agent) during a sales interaction are identified to understand the interaction factors that drive sales and, by doing so, to serve the customer better and thus increase sales. Initially, a user makes contact with an agent via a communications network. During the interaction, a dropping point is reached, i.e. the point in the interaction at which either the user or the agent ends the interaction. The dropping point and other interaction factors is analyzed. Based upon such analysis, various recommendations are made to the agents to improve the user's sales experience.

Claim (Index 1):
A computer implemented method for user analysis, comprising:\n providing an interaction engine; using said interaction engine to capture an interaction between at least one agent and a user; providing an analysis engine; classifying, with said analysis engine, said interaction into one or more stages of said interaction; said analysis engine further implementing an algorithm which labels sequences of text into said stages; said analysis engine further implementing an algorithm that learns different discriminative keywords for agent text and user text in said sequences of text in connection with classifying said sequences of text into stages; said analysis engine identifying the stage of interaction, based on the classification predicted by the analysis engine; and based on said classifying, providing recommendations to said agent to improve the user experience in the interaction.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 88.0
- Lexical Diversity: 1.87879
- Patent Class: 235.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15482113', '14149761', '14142698', '14180967', '12392058']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5356830791420629
- 35 USC 102 Novelty (BERT): 0.5072574127873786
- Combined Prediction Score: 0.5328405125065945
- Mean Citation Score: 226.902852
- Max Citation Score: 327.54453
- Similarity Product: 309.98237951331504

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