PATENT CLAIM ANALYSIS

Application Number: 16269189
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-08
Patent Classification: ["705", "022000"]

Abstract:
A cloud-based radio frequency identification system and method for maintaining and providing users with part information for a plurality of parts are provided. The system includes a cloud platform server including a part database storing the part information. The cloud platform server communicates with at least one mobile device and send e-mail and text alerts associated with the part information and also provides the part information through an online website. The system includes a manufacturing network coupled to the cloud platform server. A plurality of manufacturing workstations are disposed at locations at which a plurality of operation steps are carried out and allow for at least one of automatic entry and manual entry of the part information. At least one radio frequency handheld scanner communicates with the cloud platform server through the manufacturing network and scans a radio frequency identification tag of each of the parts.

Claim (Index 13):
The method as set forth in  claim 6 , further including the step of passing the dunnage through a validation portal to the check the dunnage following the dunnage moving to the staging area and updating the part database of the cloud platform server.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 99.0
- Lexical Diversity: 2.17143
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['10909186', '15707319', '14504132', '13894609', '16037391']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.092178075945406
- 35 USC 102 Novelty (BERT): 0.4938853636448729
- Combined Prediction Score: 0.1323488047153527
- Mean Citation Score: 123.16226100000002
- Max Citation Score: 126.4179
- Similarity Product: 71.76684261521102

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