Energy product instant rebate engine
First Claim
1. A method for reducing latency in product rebate eligibility,the method comprising:
- parsing and normalizing customer and rebate data from two or more utility companies, via an ingest subsystem, to form normalized customer data and normalized rebate data in a format that is consistent across all of the two or more utility companies, wherein the normalized rebate data includes rebate rules specific to ones of the two or more utility companies;
storing persistent utility rebate rules in a rebates database, wherein the persistent utility rebate rules constitute rebate eligibility parameters that apply to at least two of the two or more utility companies;
storing runtime rebate rules in the rebates database, wherein the runtime rebate rules represent rebate eligibility parameters for a provider of energy-saving products and are customer-specific;
applying, via a rules engine, the persistent utility rebate rules to the normalized rebate data to generate rebate profiles, and storing the rebate profiles in the rebate database, wherein the rebate profiles include a plurality of rebate eligibilities for a plurality of redemption scenarios, and wherein each rebate profile is not customer-specific; and
thenquerying, via the rules engine, the rebates database for ones of the rebate profiles corresponding to a customer identification received from an API of a frontend client service;
applying, via the rules engine, the runtime rebate rules to the rebate profiles to identify one or more customer-specific rebates;
returning, via the rules engine, the customer-specific rebate to the API, so that the one of the frontend client services that provided the customer identification can apply the customer-specific rebate to a customer'"'"'s purchase.
5 Assignments
0 Petitions
Accused Products
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.
7 Citations
17 Claims
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1. A method for reducing latency in product rebate eligibility,
the method comprising: -
parsing and normalizing customer and rebate data from two or more utility companies, via an ingest subsystem, to form normalized customer data and normalized rebate data in a format that is consistent across all of the two or more utility companies, wherein the normalized rebate data includes rebate rules specific to ones of the two or more utility companies; storing persistent utility rebate rules in a rebates database, wherein the persistent utility rebate rules constitute rebate eligibility parameters that apply to at least two of the two or more utility companies; storing runtime rebate rules in the rebates database, wherein the runtime rebate rules represent rebate eligibility parameters for a provider of energy-saving products and are customer-specific; applying, via a rules engine, the persistent utility rebate rules to the normalized rebate data to generate rebate profiles, and storing the rebate profiles in the rebate database, wherein the rebate profiles include a plurality of rebate eligibilities for a plurality of redemption scenarios, and wherein each rebate profile is not customer-specific; and
thenquerying, via the rules engine, the rebates database for ones of the rebate profiles corresponding to a customer identification received from an API of a frontend client service; applying, via the rules engine, the runtime rebate rules to the rebate profiles to identify one or more customer-specific rebates; returning, via the rules engine, the customer-specific rebate to the API, so that the one of the frontend client services that provided the customer identification can apply the customer-specific rebate to a customer'"'"'s purchase. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A non-transitory, tangible processor readable storage medium, encoded with processor executable code to perform a method for determining product rebate eligibility before a transaction is completed, the method comprising:
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parsing and normalizing and rebate data from two or more utility companies, via an ingest subsystem, to form normalized customer data and normalized rebate data, in a format that is consistent across all of the two or more utility companies, wherein the normalized rebate data includes rebate rules specific to ones of the two or more utility companies; storing persistent utility rebate rules in a rebates database, wherein the persistent utility rebate rules constitute rebate eligibility parameters; storing runtime rebate rules in the rebate database, wherein the runtime rebate rules represent rebate eligibility parameters for a provider of energy-saving products and are customer-specific; applying, via a rules engine, the persistent utility rebate rules to the normalized rebate data to generate rebate profiles, and storing the rebate profiles in the rebate database, wherein the rebate profiles include a plurality of rebate eligibilities for a plurality of redemption scenarios, and wherein each rebate profile is not customer-specific and each rebate profile being unique to one of the utility companies and applicable to all customers of the one of the utility companies; providing an API in communication with the broker module and the accounts service, and configured to interface with one or more frontend client services hosted on one or more frontend devices, the one or more frontend client services configured for interfacing with customers of the two or more utility companies; receiving a customer identification at the broker module from one of the frontend client services; calling, via the broker module, the rules engine, with the customer identification as an input; querying, via the rules engine, the rebates database for ones of the rebate profiles corresponding to a customer identification received from an API of a frontend client service; applying, via the rules engine, the runtime rebate rules to the rebate profiles to identify one or more customer-specific rebates; returning, via the rules engine, the customer-specific rebate to the API, so that the one of the frontend client services that provided the customer identification can apply the customer-specific rebate to a customer'"'"'s purchase. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16, 17)
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Specification