PATENT CLAIM ANALYSIS

Application Number: 16052283
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-11
Patent Classification: ["705", "014230"]

Abstract:
Systems, methods, and apparatus are disclosed for providing instant rebates before a transaction is completed. This involves ingest of customer and rebate data from two or more utilities, where the data is parsed and normalized into a standard format across all of the utilities. The customer data is then stored in an accounts database, while the rebate data is further processed along with utility rebate rules to determine a set of rebate eligibilities for a variety of scenarios. The resulting rebate profiles can be stored in a rebates database and linked to corresponding customer account data in the accounts database. Third-party frontends can then request rebate eligibility based on a customer identifier and retail channel, and various services can work in tandem to query the rebated database and return a set of eligibilities with so little latency that the eligibility check appears instant from a customer's standpoint.

Claim (Index 6):
The method of  claim 1 , further comprising providing a rebate redemption transaction service configured to tabulate all rebate redemptions, report the same to the one or more utility companies, and update, in rebate profiles in the rebate database, a number and type of rebates redeemed.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 96.0
- Lexical Diversity: 1.77528
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15791011', '11303258', '12595553', '13741146', '11504122']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0873829636801712
- 35 USC 102 Novelty (BERT): 0.6847818716249487
- Combined Prediction Score: 0.147122854474649
- Mean Citation Score: 316.75209
- Max Citation Score: 731.7291
- Similarity Product: 663.9738290721237

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

Dataset: test