PATENT CLAIM ANALYSIS

Application Number: 16283332
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["211", "059200"]

Abstract:
An apparatus and system for dispensing large amounts of cylindrical food containers or cans. The apparatus includes at least two support frames joined together through a series of connector pieces. Additional support frames may be added to the apparatus to create a modular system of dispensers that are customizable according to user discretion. The apparatus and system may be disposed directly on the traverses of a shelving unit so that large number of can dispensers may be accommodated within a relatively small volume or storage space. Each can dispenser may accommodate multiple cans which are orientated so that as each can is removed from the dispenser, a subsequent can will roll forward and take its place.

Claim (Index 2):
The system of  claim 1  wherein each of the plurality of can dispensers comprises:\n a plurality of support frames; and\n a plurality of connectors, each of the plurality of connectors configured to be coupled to at least two of the plurality of support frames, \n wherein each of the plurality of support frames comprises at least two lower shelf supports, wherein each lower shelf support is configured to engage one of the plurality of horizontal traverses of the shelf unit.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 1.5443
- Patent Class: 211.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16282925', '15359376', '15067943', '13655585', '14766070']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8124863539993663
- 35 USC 102 Novelty (BERT): 0.5049059487324616
- Combined Prediction Score: 0.7817283134726758
- Mean Citation Score: 224.438976
- Max Citation Score: 311.71573
- Similarity Product: 258.6081319159568

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