PATENT CLAIM ANALYSIS

Application Number: 15969640
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["705", "015000"]

Abstract:
The present invention includes methods and apparatus for the automated provision of goods through the use of scanning systems. More specifically, the present invention provides a method for automatically conveying which goods are being ordered, where the goods will be picked up, an associated method of payment, kitchen fulfillment, item tracking, and automatic delivery by a dispenser apparatus. In preferred embodiments, the present invention is applied to the automated ordering and pick-up of food items at a fast food restaurant.

Claim (Index 5):
The method of  claim 1  for dispensing food items prepared for consumption by a customer additionally comprising the steps of:\n o) receiving a list of a plurality of users which may participate in forming a food product order; \n p) communicating with the plurality of users, wherein the communication offers an ordering session to two or more of the plurality of users; \n q) receiving orders from two or more of the plurality of users; and \n r) combining the orders received from the two or more of the plurality of users with an order on the customer smart device to generate the order comprising food items and food preparation that is transmitted to the selected preferred restaurant.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 1.52542
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15901393', '15799331', '11540945', '11603321', '14831858']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1161033223334283
- 35 USC 102 Novelty (BERT): 0.5518206846383851
- Combined Prediction Score: 0.159675058563924
- Mean Citation Score: 292.627026
- Max Citation Score: 419.41342
- Similarity Product: 304.6044430544865

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