PATENT CLAIM ANALYSIS

Application Number: 15865891
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["705", "014150"]

Abstract:
An improved control system for a fuel dispenser solves the problems of the prior art by enabling processing of prepaid fuel discount cards that discount only the wholesale price component of the per unit retail fuel price. The control system recalculates the per unit retail price based upon the applied discount. Upon purchase of the prepaid fuel discount card, a snapshot of the wholesale price components is taken of all fuel dispensers in a region and locked in for the purchaser at the time of purchase of the prepaid discount fuel card. A central server performs “back office” processing and recalculates the retail per unit price of fuel at the time of delivery of the fuel based upon a discount applied to the per unit wholesale price component for the fuel dispenser location where the fuel is being delivered. With the novel system disclosed herein, the wholesaler can control the amount of the discounts applied to the retail unit price of fuel. The system enables the wholesaler to create an elastic demand for the fuel and regain customer loyalty for fuel credit cards. Initially the purchaser deposits an initial amount of money in the account. The average weighted wholesale price per gallon is determined after each deposit is made. The average weighted wholesale price is used to pay for delivery of gasoline.

Claim (Index 7):
The wholesale fuel discount system as recited in  claim 1 , wherein said prepaid wholesale discount card is only usable to purchase a specific brand of fuel.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 86.0
- Lexical Diversity: 2.39796
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11158674', '14498171', '13957181', '11552894', '11157578']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1559634189911205
- 35 USC 102 Novelty (BERT): 0.5120967095174086
- Combined Prediction Score: 0.1915767480437493
- Mean Citation Score: 280.706456
- Max Citation Score: 307.13013
- Similarity Product: 230.29353875307265

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

Dataset: test