PATENT CLAIM ANALYSIS

Application Number: 15941775
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["705", "014270"]

Abstract:
A merchandise sales data processing apparatus according to an embodiment includes an input device, a storage unit, and a processor. The input device receives first customer information, second customer information indicating the user's participation in a reward program in a store at which the user is currently purchasing merchandise, and merchandise sales data. The storage unit stores the received first customer information, the second customer information, company code information indicating the store, and reward information of the user in the reward program. A first transmission section transmits the received first customer specification information and the company code information to an outside apparatus. A privilege generation section generates the reward information when the second customer specification information is received. An electronic receipt data generation section generates and transmits the electronic receipt information including the merchandise sales data and the reward information.

Claim (Index 20):
The method according to  claim 17 , wherein\n the user is one of a plurality of users, and the reward program is one of a plurality of independent reward programs, each offered in different stores.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.65517
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14734128', '14793204', '15405460', '14249241', '14249253']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.122694939546139
- 35 USC 102 Novelty (BERT): 0.515059786478193
- Combined Prediction Score: 0.1619314242393444
- Mean Citation Score: 205.992954
- Max Citation Score: 222.18025
- Similarity Product: 113.49855862607065

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