PATENT CLAIM ANALYSIS

Application Number: 16274170
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["704", "270000"]

Abstract:
An improved speech-based/natural language point-of-sale customer order system which is useful for any business that interacts with customers through speech or sound. Despite the advances in speech recognition, currently available voice ordering interfaces have proven to be unintuitive and lack reliability. Voice recognition has so far proven to be inefficient in retail contexts, and therefore voice recognition has so far achieved a low level of usage penetration in the retail sector. The present invention facilitates the automated operation of the ordering function of a drive-through restaurant, fast food restaurant or other business establishment by replacing an employee or other means of capturing order data with an ordering system employing a highly accurate speech recognition component that is able to be trained to recognize a wide vocabulary of words, and associate tones and other metadata in a manner not previously achieved in speech-to-text systems.

Claim (Index 2):
The method according to  claim 1  wherein the transcription unit is a crowd source platform.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 99.0
- Lexical Diversity: 1.57292
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14546097', '14719125', '15867639', '10346656', '15920003']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2733488751681697
- 35 USC 102 Novelty (BERT): 0.512396475396397
- Combined Prediction Score: 0.2972536351909924
- Mean Citation Score: 177.137276
- Max Citation Score: 184.46007
- Similarity Product: 92.6972977755958

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