PATENT CLAIM ANALYSIS

Application Number: 16284643
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-10
Patent Classification: ["709", "220000"]

Abstract:
A device may receive a request for a service management plan that is to be used to implement a fully-integrated enterprise resource planning (ERP) system for an organization. The device may receive organizational data associated with the organization. The device may determine, based on the organizational data, observations that serve as hypotheses for deficiencies associated with a current state of a system of the organization. The device may identify, based on the observations, priorities that define a target state for the fully-integrated ERP system that is to be generated. The device may select, based on a machine-learning-driven analysis of the observations and the priorities, a recommendation for a configuration of the fully-integrated ERP system. The device may generate, based on the recommendation, the service management plan for the organization. The device may perform a set of actions to cause the configuration to be implemented.

Claim (Index 5):
The method of  claim 1 , wherein selecting the recommendation comprises:\n providing, as input to a data model that has been trained using one or more machine learning techniques, observation data that identifies the set of observations and priorities data that identifies the set of priorities, to cause the data model to output a set of scores that indicate likelihoods of recommendations for particular configurations causing a state of the fully-integrated ERP system to be the target state, and selecting the recommendation for the configuration, of the recommendations for the particular configurations, based on the recommendation for the configuration being associated with a score that indicates a highest likelihood of causing the state of the fully-integrated ERP system to be the target state.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.59677
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14492562', '12823389', '15380865', '15247069', '12314683']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2400098901265016
- 35 USC 102 Novelty (BERT): 0.487384287404409
- Combined Prediction Score: 0.2647473298542924
- Mean Citation Score: 154.556274
- Max Citation Score: 160.78648
- Similarity Product: 107.23225693334103

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

Dataset: test