PATENT CLAIM ANALYSIS

Application Number: 16382902
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-10
Patent Classification: ["705", "026810"]

Abstract:
Embodiments of a method and/or system can include detecting placement of one or more items in relation to a smart shopping apparatus; collecting sensor data describing one or more item identifiers of the one or more items, where the sensor data corresponds to one or more sensors of the smart shopping apparatus; identifying one or more item profiles describing the one or more items, based on the sensor data; determining one or more shopping parameters associated with the shopping period, based on the one or more item profiles; and facilitating a purchase transaction for the one or more items based on one or more of the shopping parameters.

Claim (Index 8):
The system of  claim 7 , wherein the mechanical component of the smart shopping apparatus comprises a set of wheels for facilitating maneuverability of the smart shopping apparatus, and wherein the transformation of the mechanical component comprises locking at least one wheel of the set of wheels based on failure to verify completion of a purchase transaction for the item and based on the location of the smart shopping apparatus exceeding a threshold distance from the exit bay location of the virtually defined exit bay area.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.46809
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14321573', '13912006', '16156826', '14024287', '14508874']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1127365780626371
- 35 USC 102 Novelty (BERT): 0.4735258572968207
- Combined Prediction Score: 0.1488155059860555
- Mean Citation Score: 143.875832
- Max Citation Score: 144.76697
- Similarity Product: 100.92625933850287

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