Personalized product service

A computer-implemented method, comprising:

• parsing a purchase history of a consumer to verify a sufficient depth to provide a recommendation;
• evaluating the purchase history of the consumer based on a hierarchy of a universal product code provided by a retailer;
• filtering out a product when a score of a product identified by the universal product code is less than a threshold, to form a product list;
• scoring the product in the product list based at least on one of a purchase probability of the product by the consumer, a value of the product, and a stock availability of the product identified by the universal product code at the retailer;
• padding the product list with a default universal product code when the purchase history is exhausted before completing a pre-selected quota;
• providing the product list including the universal product codes sorted according to a score to a remote server for assembling a digital payload for a consumer;
• assembling the digital payload including media files associated with each of the products in the product list;
• providing the digital payload to the consumer;
• receiving a tracking pixel indicative that the consumer has interacted with the digital payload;
• and
• notifying, in response to the tracking pixel, a retailer that the consumer has interacted with the digital payload in response to a tracking pixel triggered by a client device with the consumer upon downloading the digital payload.