PATENT CLAIM ANALYSIS

Application Number: 16167245
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["235", "383000"]

Abstract:
In some embodiments, systems and methods are provided to confirm customer scanning of products. Some embodiments provide retail store automated product confirmation systems, comprising: a plurality of RFID tag readers; a scan compiling circuit communicatively coupled with a plurality of portable product scanning systems and configured to associate the scanned identifying information with the customer and create a purchase list; and a scan confirmation circuit configured to: receive product identifying information detected by two RFID tag readers and associated with the customer without the customer having to travel through a choke point, generate an RFID detected product listing, determine a current level of accuracy between the RFID detected product listing and the purchase list, and direct an action be taken based on the determined level of accuracy.

Claim (Index 12):
The method of  claim 11 , further comprising:\n confirming each product of the RFID detected product listing is detected by the two different RFID tag readers at two different locations of the sales floor and corresponding to the customer's location at the time of the detection by the two RFID tag readers.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 97.0
- Lexical Diversity: 1.89041
- Patent Class: 235.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15882421', '15164025', '15983520', '15061507', '13783119']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5608203498751084
- 35 USC 102 Novelty (BERT): 0.472281813068668
- Combined Prediction Score: 0.5519664961944644
- Mean Citation Score: 155.21549599999997
- Max Citation Score: 170.93416000000005
- Similarity Product: 114.137373130579

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