System and method for analyzing coupon redemption data

Claim 1

A system for analyzing coupon redemption data, the system comprising: a parallel adaptive self-arborizing network, the parallel adaptive network including a database component having a database containing consumer and client data; an extract module in communication with the database component, wherein the extract module retrieves the consumer and client data from the database in response to a first set of program objectives; a zone editor for creating at least one redeemable coupon, wherein the zone editor creates a data template including at least one machine readable code containing both consumer and client data extracted from the database by the extract module; a data recovery system, the data recovery system including at least one point of sale terminal and a store and forward system, wherein the at least one point of sale terminal scans the at least one machine readable code of the at least one redeemable coupon to retrieve consumer and client data, wherein the store and forward system is in communication with the at least one point of sale terminal to retain the consumer and client data from the at least one redeemable coupon; a data accumulator in communication with the database component of the parallel adaptive network, wherein the data accumulator receives consumer and client data transmitted by the data recovery system to upload into the database; and a redemption data analysis component of the database of the parallel adaptive network, wherein the redemption data analysis component of the database conducts an analysis of the consumer and client data retrieved from the store and forward system to determine current consumer purchasing trends and predict future consumer purchasing activity, wherein the redemption data analysis component of the database is capable of continuous learning based on the consumer and client data retrieved from the at least one data recovery system, wherein: the at least one machine readable code generated by the zone editor is a two-dimensional bar code containing information as to an offer made via the coupon as well as the extracted consumer and client data to be scanned into the data recovery system for transmission into the database component of the parallel adaptive network, the consumer data extracted from the database to create the two-dimensional bar code comprises at least one of a consumer name, a consumer mailing address and a consumer purchasing trend; and the information as to the offer, the client and the consumer contained in the two-dimensional bar code makes the coupon unique.

Claim 2

A system for analyzing coupon redemption data, the system comprising: a parallel adaptive self-arborizing network, the parallel adaptive network including a database component having a database containing consumer and client data; an extract module in communication with the database component, wherein the extract module retrieves the consumer and client data from the database in response to a first set of program objectives; a zone editor for creating at least one redeemable coupon, wherein the zone editor creates a data template including at least one machine readable code containing both consumer and client data extracted from the database by the extract module; a data recovery system, the data recovery system including at least one point of sale terminal and a store and forward system, wherein the at least one point of sale terminal scans the at least one machine readable code of the at least one redeemable coupon to retrieve consumer and client data, wherein the store and forward system is in communication with the at least one point of sale terminal to retain the consumer and client data from the at least one redeemable coupon; a data accumulator in communication with the database component of the parallel adaptive network, wherein the data accumulator receives consumer and client data transmitted by the data recovery system to upload into the database; and a redemption data analysis component of the database of the parallel adaptive network, wherein the redemption data analysis component of the database conducts an analysis of the consumer and client data retrieved from the store and forward system to determine current consumer purchasing trends and predict future consumer purchasing activity, wherein the redemption data analysis component of the database is capable of continuous learning based on the consumer and client data retrieved from the at least one data recovery system, wherein: the at least one machine readable code generated by the zone editor is a two-dimensional bar code containing information as to an offer made via the coupon as well as the extracted consumer and client data to be scanned into the data recovery system for transmission into the database component of the parallel adaptive network, the consumer data extracted from the database to create the two-dimensional bar code comprises at least one of a consumer name, a consumer mailing address and a consumer purchasing trend; and the information as to the offer, the client and the consumer contained in the two-dimensional bar code makes the coupon unique.

Claim 14

A method of distributing a coupon for redemption and analysis of redemption data, comprising the steps of: selecting one of a plurality of consumers for receipt of a redeemable coupon and providing an identification of the selected consumer; extracting at least one additional item of analyzable information about a trait of the selected consumer from a database of information regarding the plurality of consumers; extracting data defining a selected coupon offer from a database of coupon offers; compiling a coupon message comprising the identification of the selected consumer, the at least one additional item of analyzable information, and the data defining the selected coupon offer; encoding the coupon message into a two-dimensional bar code; compiling the two-dimensional bar code with other data to form a unique redeemable coupon; and distributing the unique redeemable coupon to the selected consumer.

Claim 15

A method of distributing a coupon for redemption and analysis of redemption data, comprising the steps of: selecting one of a plurality of consumers for receipt of a redeemable coupon and providing an identification of the selected consumer; extracting at least one additional item of analyzable information about a trait of the selected consumer from a database of information regarding the plurality of consumers; extracting data defining a selected coupon offer from a database of coupon offers; compiling a coupon message comprising the identification of the selected consumer, the at least one additional item of analyzable information, and the data defining the selected coupon offer; encoding the coupon message into a two-dimensional bar code; compiling the two-dimensional bar code with other data to form a unique redeemable coupon; and distributing the unique redeemable coupon to the selected consumer.

Claim 21

A method of distributing a coupon for redemption, comprising the steps of: selecting one of a plurality of consumers for receipt of a redeemable coupon and providing an identification of the selected consumer; extracting data defining a selected coupon offer from a database of coupon offers; compiling a coupon message comprising the identification of the selected consumer and the data defining the selected coupon offer; encoding the coupon message into a two-dimensional bar code comprising a substantially centralized finder structure and a plurality of blocks of data carrying the coupon message; compiling the two-dimensional bar code with other data to form the redeemable coupon; and distributing the redeemable coupon to the selected consumer.

Claim 22

A method of distributing a coupon for redemption, comprising the steps of: selecting one of a plurality of consumers for receipt of a redeemable coupon and providing an identification of the selected consumer; extracting data defining a selected coupon offer from a database of coupon offers; compiling a coupon message comprising the identification of the selected consumer and the data defining the selected coupon offer; encoding the coupon message into a two-dimensional bar code comprising a substantially centralized finder structure and a plurality of blocks of data carrying the coupon message; compiling the two-dimensional bar code with other data to form the redeemable coupon; and distributing the redeemable coupon to the selected consumer.