PATENT CLAIM ANALYSIS

Application Number: 16505786
Application Type: Utility
Filing Date: 2019-07
Publication Date: 2019-10
Patent Classification: ["705", "007360"]

Abstract:
A method and system for operating an enterprise in accordance with an optimized enterprise level business model. A model optimization engine is iteratively processed based on an updated benchmark value and model, until updating the benchmark value involves changing the benchmark value by less than a predetermined benchmark value error threshold to generate the optimized enterprise-level business model. The enterprise is operated in accordance with the optimized enterprise level business model, including: generating and dynamically displaying real-time performance measures of usage of a computer resource during execution of a business process, determining from the performance measures that the computer resource is a bottleneck, and the computer resource's usage is optimized using the performance measures to reduce data throughput delay and increase throughput of bottleneck operations during execution of the business process. Optimizing the computer resource's usage includes making a computer system work more efficiently and/or use fewer resources.

Claim (Index 17):
The computer system of  claim 13 , said method further comprising:\n defining an interrelated business strategy based on user input related to at least one of a goal of enterprise, a market within which the enterprise competes, and activities involved in the markets, and factors that affect the enterprise's ability to compete in the market.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 100.0
- Lexical Diversity: 1.96296
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16114337', '12019004', '12466995', '14148708', '12701245']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1139480034919223
- 35 USC 102 Novelty (BERT): 0.5850598782814178
- Combined Prediction Score: 0.1610591909708718
- Mean Citation Score: 332.095644
- Max Citation Score: 533.5627400000002
- Similarity Product: 414.6949706634034

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

Dataset: test