PATENT CLAIM ANALYSIS

Application Number: 15900705
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-05
Patent Classification: ["705", "004000"]

Abstract:
In an illustrative embodiment, an automated system provides for generating product recommendations for clients. The system may include computing systems and devices for receiving a client intake information with product preferences, member demographic information, and current product information, and in response, generating product offerings including at least a portion representing variations of the current product. The member demographic information may be consolidated into census divisions that are each associated with a category of the member demographic information, and probabilities of selecting the product offerings may be calculated for each of the census divisions. The product offerings may be presented in a user interface with optimization scores that are a function of the probability of selecting the product offerings as well as provider financial goals, employee perception goals, and market competitiveness goals. Responsive to receiving filter adjustments, the optimization scores for the product offerings may be modified.

Claim (Index 1):
A system comprising:\n processing circuitry; and a non-transitory computer readable memory coupled to the processing circuitry, the memory storing machine-executable instructions, wherein the machine-executable instructions, when executed on the processing circuitry, cause the processing circuitry to\n receive, from a remote computing device of a first party via a network, a request for product offering information; \n responsive to the request, identify product preferences, member demographic information, and current product offering information of the first party; \n generate, based on the product preferences, a plurality of product offerings, wherein at least a first portion of the plurality of product offerings are variations of a current product offering; \n consolidate the member demographic information into a plurality of census divisions for applying to a machine learning data model that calculates probabilities of selecting each of the plurality of product offerings, wherein each of the plurality of census divisions is associated with a category of the member demographic information, and wherein the plurality of census divisions are customized to the first party based on the member demographic information and current products held by each of the members; \n calculate, for each of the plurality of census divisions, a probability of selecting each of the plurality of product offerings, wherein calculation of the probability of selecting each of the plurality of product offerings comprises, for each of the plurality of census divisions, applying the machine learning data model trained with a plurality of weighted input variables; \n present, in real-time responsive to receiving the request, the plurality of product offerings in a first graphical user interface presentation, wherein\n the first graphical user interface presentation includes:\n a) a first interface section for displaying data points representing each of the plurality of product offerings plotted as a function of an employee perception score and a provider financial score, wherein the employee perception score and provider financial score for each of the plurality of product offerings are based in part on the probability of selecting each of the plurality of product offerings, and \n b) a second interface section for providing filters for selecting preferred ranges of at least one of provider financial goals, employee perception goals, and market competitiveness goals; and \n \n \n dynamically adjust, in real-time responsive to receiving a filter adjustment for at least one of the filters at the second interface section of the first graphical user interface presentation, the respective data points for each of the plurality of product offerings displayed in the first interface section of the first graphical user interface presentation to reflect the filter adjustment.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 88.0
- Lexical Diversity: 2.10526
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14598635', '11851258', '10327518', '14479774', '15080055']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0846196107735854
- 35 USC 102 Novelty (BERT): 0.4657144377586691
- Combined Prediction Score: 0.1227290934720938
- Mean Citation Score: 140.510396
- Max Citation Score: 143.9424
- Similarity Product: 110.521682068634

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test