PATENT CLAIM ANALYSIS

Application Number: 16158697
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-04
Patent Classification: ["705", "332000"]

Abstract:
In some embodiments, the present disclosure provides a network of multi-functional sensors; where, based on a quality insurance, each multi-functional sensor is positioned in, on, or in a vicinity of: a transported cargo and/or a cargo container, containing the transported cargo; where each multi-functional sensor is configured to measure particular transport-related condition, particular cargo-related condition, or both, to form cargo transport sensor data and wirelessly transmit it to a server that is configured to dynamically predict, based on the cargo transport sensor data, a predicted quality loss of the transported cargo, determine a current loss value of the transported cargo and cause one or more remedial actions that include instantaneously instructing to pay a payout amount to an owner of the transported cargo to compensate for the current loss value and/or transmitting a remedial instruction with an adjustment to the operation of one or more of a cargo transport, the cargo container, and a cargo storage.

Claim (Index 18):
The method of  claim 16 , wherein the one or more operational parameters of the at least one cargo transport comprise a speed of the at least one cargo transport and wherein the at least one adjustment is a change in the speed of the at least one cargo transport.

Metadata:
- Claim Count in Document: 68.0
- Percentile: 97.0
- Lexical Diversity: 2.23077
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15173891', '15173953', '15907715', '15573125', '15175091']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1311628855930593
- 35 USC 102 Novelty (BERT): 0.4956031584053599
- Combined Prediction Score: 0.1676069128742894
- Mean Citation Score: 138.27004
- Max Citation Score: 141.84523000000004
- Similarity Product: 100.26811041683676

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

Dataset: test