PATENT CLAIM ANALYSIS

Application Number: 16057256
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["705", "040000"]

Abstract:
Various embodiments herein each include at least one of systems, devices, methods, and software for automated session closing upon location-sensed departure. Some such embodiments may be implemented at retail outlets (e.g., restaurants, salons, stores, etc.) to automatically charge a customer account for ordered items upon an automated detection of a customer retail outlet departure. One embodiment, in the form of a method performed on a server-based system, includes receiving, via a network from a mobile device associated with a customer account, first data indicating the mobile device has departed a retail outlet. The method then generates, from stored retail session data, a final bill including an amount payable and then charges an amount payable from the final bill to a payment account associated with the customer account.

Claim (Index 10):
A method comprising:\n receiving a first beacon identifier on a mobile device from a first beacon device associated with a serving location; and transmitting, via a network from the mobile device to a backend system, the first beacon identifier and customer account identifying data to associate a dining session at the serving location with the customer account.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 96.0
- Lexical Diversity: 1.77108
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14833626', '14529733', '14644882', '13220360', '15250697']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1002826831976848
- 35 USC 102 Novelty (BERT): 0.4990766825964365
- Combined Prediction Score: 0.1401620831375599
- Mean Citation Score: 196.028306
- Max Citation Score: 278.37625
- Similarity Product: 224.5698185639829

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

Dataset: test