PRODUCT RECOMMENDATIONS WITHIN TRANSACTION CONVERSATIONS
Disclosed are examples of systems, apparatus, methods and computer program products for providing individualized product recommendations within a retailer network. A database of federated customer profiles is accessed, with the federating customer profiles including purchase and transaction history for the customer across multiple retailers. The profile is analyzed based on the transaction history, product data for previous transactions, and one or more customer insights, and one or more individualized product recommendations are generated based on the analysis of the federated customer profile. An individualized transaction message is then generated, the message including the one or more individualized product recommendations.
1 . A method for providing individualized product recommendations within a retailer network, the method comprising:
accessing a database of federated customer profiles, each federated customer profile associated with one or more customer identities;
analyzing a federated customer profile from the database of federated customer profiles based at least on a transaction history, product data for one or more previous transactions, and one or more customer insights;
generating one or more individualized product recommendations based on the analysis of the federated customer profile; and
generating an individualized transaction message for the customer including at least one of the individualized product recommendations.
2 . The method of claim 1 , further comprising:
generating a confidence score for each of the one or more individualized product recommendations, the confidence score relating to a probability that the customer will purchase the product.
3 . The method of claim 2 , further comprising:
selecting the included individualized product recommendations based on the confidence scores of the one or more individualized product recommendations.
4 . The method of claim 2 , further comprising:
sending the individualized transaction message to the customer if the confidence scores for the included individualized product recommendations exceed a predetermined threshold.
5 . The method of claim 1 , wherein generating the individualized product recommendations is further based on customer messaging preferences.
6 . The method of claim 1 , wherein generating the individualized product recommendations is further based on machine learning and/or predictive analysis processes.
7 . The method of claim 1 , wherein analyzing the federated customer profile comprises processing data from a plurality of customer identities.
8 . The method of claim 1 , wherein the individualized product recommendations include one or more sales offers customized for the customer.
9 . The method of claim 1 , wherein generating the individualized product recommendations further comprises analyzing one or more locations associated with the customer.
10 . A system for providing individualized product recommendations within a retailer network, the system configurable to cause:
accessing a database of federated customer profiles, each federated customer profile associated with one or more customer identities;
analyzing a federated customer profile from the database of federated customer profiles based at least on a transaction history, product data for one or more previous transactions, and one or more customer insights;
generating one or more individualized product recommendations based on the analysis of the federated customer profile; and
generating an individualized transaction message for the customer including at least one of the individualized product recommendations.
11 . The system of claim 10 , further configurable to cause:
generating a confidence score for each of the one or more individualized product recommendations, the confidence score relating to probability that the customer will purchase the product.
12 . The system of claim 11 , further configurable to cause:
selecting the included individualized product recommendations based on the confidence scores of the one or more individualized product recommendations.
13 . The system of claim 11 , further configurable to cause:
sending the individualized transaction message to the customer if the confidence scores for the included individualized product recommendations exceed a predetermined threshold.
14 . The system of claim 10 , wherein generating the individualized product recommendations is further based on customer messaging preferences.
15 . The system of claim 10 , wherein generating the individualized product recommendations is further based on machine learning and/or predictive analysis processes.
16 . A computer program product comprising computer-readable program code capable of being executed by one or more processors when retrieved from a non-transitory computer-readable medium, the program code comprising instructions configurable to cause:
accessing a database of federated customer profiles, each federated customer profile associated with one or more customer identities;
analyzing a federated customer profile from the database of federated customer profiles based at least on a transaction history, product data for one or more previous transactions, and one or more customer insights;
generating one or more individualized product recommendations based on the analysis of the federated customer profile; and
generating an individualized transaction message for the customer including at least one of the individualized product recommendations.
17 . The computer program product of claim 16 , the program code comprising instructions configurable to cause:
generating a confidence score for each of the one or more individualized product recommendations, the confidence score relating to probability that the customer will purchase the product.
18 . The computer program product of claim 17 , the program code comprising instructions configurable to cause:
selecting the included individualized product recommendations based on the confidence scores of the one or more individualized product recommendations.
19 . The computer program product of claim 17 , the program code comprising instructions configurable to cause:
sending the individualized transaction message to the customer if the confidence scores for the included individualized product recommendations exceed a predetermined threshold.
20 . The computer program product of claim 16 , wherein generating the individualized product recommendations is further based on machine learning and/or predictive analysis processes.