SYSTEMS AND METHODS FOR ASSESSING PURCHASE OPPORTUNITIES

1 . A system to assess purchase opportunities corresponding to the sale of retail products, comprising:

a database comprising a plurality of partiality vectors (“PV”) each associated with one of: a commercial object and a consumer;

a communication transceiver; and

a control circuit communicatively coupled to the transceiver and the database and configured to:

access a purchase opportunity comprising information regarding a consumer identifier exclusively associated with a consumer and a first commercial object identifier exclusively associated with a first commercial object, wherein the consumer identifier and the first commercial object identifier are associated with a first PV and a second PV, respectively;

ascertain a first alignment value and a second alignment value, wherein the first alignment value corresponds to an alignment relationship between the first PV and the second PV, the second alignment value corresponds to an alignment relationship between the first PV and a third PV, the third PV is associated with a second commercial object, and the second commercial object shares a threshold amount of characteristics with the first commercial object;

identify an opportunity to increase a probability of the consumer participating in the purchase opportunity when the second alignment value is greater than the first determined alignment value by at least a threshold value;

replace the first commercial object in the purchase opportunity with the second commercial object when the opportunity is identified; and

cause the communication transceiver to transmit the purchase opportunity to an electronic user device associated with the consumer to be rendered through a consumer user interface implemented on the electronic user device.

2 . The system of claim 1 , wherein

in ascertaining the first alignment value the control circuit is further configured to ascertain a first scalar value that corresponds to a dot product of the first PV and the second PV; and

in ascertaining the second alignment value the control circuit is further configured to ascertain a second scalar value that corresponds to a dot product of the first PV and the third PV.

3 . The system of claim 2 , wherein

in ascertaining the first alignment value the control circuit is further configured to ascertain an average of two or more first scalar values; and

in ascertaining the second alignment value the control circuit is further configured to ascertain an average of two or more second scalar values.

4 . The system of claim 2 , wherein

in ascertaining the first alignment value the control circuit is further configured to ascertain a sum of two or more first scalar values; and

in ascertaining the second alignment value the control circuit is further configured to ascertain a sum of two or more second scalar values.

5 . The system of claim 1 , wherein the control circuit is configured to ascertain the second alignment value when the ascertained first alignment value comprises a value below a threshold amount.

6 . The system of claim 1 , wherein the plurality PVs each comprise at least one of: a value-basis, an affinity-basis, an aspiration-basis, and preference-basis.

7 . The system of claim 1 , wherein the first commercial object and the second commercial object each comprise a characteristic associated with at least one of: freshness, sourcing, a material type, production type, and ecological impact.

8 . The system of claim 1 , wherein

the purchase opportunity is associated with a non-retail event;

the consumer comprises a first plurality of persons associated with the non-retail event; and

the first PV comprises a value at least partially generated using data associated with a second plurality of persons that are representative of the first plurality of persons.

9 . The system of claim 1 , wherein the control circuit is further configured to recalculate the first PV when consumer-related data is received in the database, and wherein the consumer-related data comprises one or more of: a value, a preference, an aspiration, and an affinity.

10 . A method of assessing purchase opportunities corresponding to the sale of retail products, comprising:

accessing, by a control circuit, a purchase opportunity comprising information regarding a consumer identifier exclusively associated with a consumer and a first commercial object identifier exclusively associated with a first commercial object, each associated with a first partiality vector (“PV”) and a second PV, respectively;

ascertain, by the control circuit, a first alignment value and a second alignment value, the first alignment value corresponds to an alignment relationship between the first PV and the second PV, the second alignment value corresponds to an alignment relationship between the first PV and a third PV, the third PV is associated with a second commercial object, and the second commercial object shares a threshold amount of characteristics with the first commercial object;

identifying, by the control circuit, an opportunity to increase a probability of the consumer participating in the purchase opportunity when the second alignment value is greater than the first determined alignment value by at least a threshold value; and

replacing, by the control circuit, the first commercial object in the purchase opportunity with the second commercial object when the opportunity is identified; and

transmitting, by a transceiver communicatively coupled to the control circuit, the purchase opportunity to an electronic user device associated with the consumer to be rendered through a consumer user interface implemented on the electronic user device.

11 . The method of claim 10 , wherein

the step of ascertaining the first alignment value comprises ascertaining a first scalar value that corresponds to a dot product of the first PV and the second PV; and

the step of ascertaining the second alignment value comprises ascertaining a second scalar value that corresponds to a dot product of the first PV and the third PV.

12 . The method of claim 11 , wherein

the step of ascertaining the first alignment value comprises ascertaining an average of two or more first scalar values; and

the step of ascertaining the second alignment value comprises ascertaining an average of two or more second scalar values.

13 . The method of claim 11 , wherein:

the step of ascertaining the first alignment value comprises ascertaining a sum of two or more first scalar values; and

the step of ascertaining the second alignment value comprises ascertaining a sum of two or more second scalar values.

14 . The method of claim 10 , wherein the second alignment value is ascertained when the first alignment value is below a threshold amount.

15 . The method of claim 10 , wherein the first PV, second PV, and third PV each comprise at least one of: a value-basis, an affinity-basis, an aspiration-basis, and preference-basis.

16 . The method of claim 10 , wherein the first commercial object and the second commercial object each comprises a characteristic associated with at least one of: freshness, sourcing, a material type, production type, and ecological impact.

17 . The method of claim 10 , wherein

the purchase opportunity is associated with a non-retail event;

the consumer comprises a first plurality of persons associated with the non-retail event; and

the first PV comprises a value at least partially generated using data associated with a second plurality of persons that are representative of the first plurality of persons.

18 . The method of claim 10 , further comprising recalculating the first PV when consumer-related data is received, and wherein the consumer-related data comprises one or more of: a value, a preference, an aspiration, and an affinity.