PATENT CLAIM ANALYSIS

Application Number: 16393239
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["705", "026410"]

Abstract:
Methods and systems related to an automated process for dynamically interacting with customers in a customer-facing system, such as a drive-thru, is described herein. In one example method, a vehicle is identified as present in an ordering area of a first entity. The vehicle can be associated with a customer about to place an order or otherwise interact with the first entity. An automatic determination can be made whether to initiate an interaction with the customer in a first mode or a second mode, where the first mode represents an automated interaction mode and the second mode represents a manual interaction with at least one human agent of the first entity. The determination can be based on at least one of a current context of the customer or the first entity. Based on the determination, the initial interaction can be automatically routed to the determined first or second mode.

Claim (Index 19):
The computer-readable medium of  claim 16 , wherein dynamically determining the updated context associated with the at least one of the customer or the first entity comprises determining, after routing the initial interaction with the customer to the first mode:\n identifying a non-standard interaction with the customer via the automatic interaction mode; and in response to identifying the non-standard interaction with the customer via the automatic interaction mode, re-routing the interaction with the identified customer to the second mode for further interactions.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.16216
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13866793', '14887276', '14450190', '14051901', '14450195']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0975646552254902
- 35 USC 102 Novelty (BERT): 0.4755843733771951
- Combined Prediction Score: 0.1353666270406607
- Mean Citation Score: 158.171142
- Max Citation Score: 164.58978000000005
- Similarity Product: 125.10717494933012

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

Dataset: test