PATENT CLAIM ANALYSIS

Application Number: 16107106
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["235", "385000"]

Abstract:
In some embodiments, apparatuses and methods are provided herein useful to locating containers with low inventory in a shopping facility. Some of these embodiments include systems for identifying and determining the location of containers in a low inventory condition in shopping facilities, the system comprising: a container configured to hold merchandise items in a shopping facility; a light sensor disposed in the container, the light sensor calibrated to detect an ambient light level and to respond when the detected ambient light level exceeds a predetermined ambient light threshold; and a control circuit operatively coupled to the light sensor and configured to transmit a signal indicating a low inventory condition when the light sensor determines the detected ambient light level exceeds the predetermined ambient light threshold.

Claim (Index 7):
The system of  claim 1 , further comprising a server in communication with the receiver, the server configured to receive information regarding the location of the merchandise bin or the type of merchandise items intended to be held in the merchandise bin, and the server also configured to create a task to address the low inventory condition.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 96.0
- Lexical Diversity: 2.04615
- Patent Class: 235.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15475353', '15709116', '15790305', '15446914', '15468335']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5630433270054676
- 35 USC 102 Novelty (BERT): 0.4929529175705456
- Combined Prediction Score: 0.5560342860619755
- Mean Citation Score: 187.7639
- Max Citation Score: 309.1169
- Similarity Product: 281.3778431610584

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

Dataset: test