TOTAL SPEND ITEM LEVEL AFFINITY IDENTIFICATION SYSTEM

摘要

Embodiments of the invention are directed to a system, method, or computer program product for a distributive network system with specialized data feeds associated with the distributive network for identifying total spend item level affinity for a customer and utilizing the data to provide target advertisement, providing stocking and supplying options for a merchant, and alternatively, for tracking merchant brand association impact. In this way, embodiments of the present invention identify and utilize total spend data for a customer, which includes the products and services a customer purchases within a time period. The invention identifies the customer transactions and subsequently can identify item level data and merchant level data for the transactions within the time period. From this data the system analyzes the total spend to identify loyalty based on merchant, product, or product category. This loyalty information is compiled across multiple customers and compiled for merchant feedback.

主权项

1. A system for item level affinity tracking, the system comprising:
a memory device with non-transitory computer-readable program code stored thereon; a communication device; a communicable linkage to a distributive network of specific network data feeds; a processing device operatively coupled to the memory device and the communication device, wherein the processing device is configured to execute the computer-readable program code to:
identify customer transactions occurring within a time range that utilizes a financial institution product;trigger, through the network data feeds a collection of customer transaction data based on the identification of customer transactions, occurring with the time range;retrieve, utilizing the distributive network and the specific network data feeds, item level data for products of the transaction, wherein item level data includes specific information identifying a product including a model number, name, and manufacturer of the product of the transaction;compile the item level data across a financial institution;identify an affinity of the customer for merchants based on the customer transactions and item level data within the time range;identify an affinity of the customer for product brands based on the customer transactions and item level data within the time range;generalize the identified affinity of the customer for merchants and brands for one or more customers; andprovide through the network data feeds feedback data to merchants for one or more of merchant product stocking feedback, brand or category association influence feedback, and/or target advertisement feedback.