| CPC G06Q 30/0631 (2013.01) [G06F 16/2455 (2019.01); G06N 20/00 (2019.01); G06Q 30/0629 (2013.01); G06Q 30/0639 (2013.01)] | 17 Claims |
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1. A system for geographically-specific predictive distribution recommendations, the system comprising:
at least one non-transitory storage device; and
at least one processing device coupled to the at least one non-transitory storage device, wherein the at least one processing device is configured to:
receive a resource transfer dataset from a managing entity system, wherein the resource transfer dataset comprises data associated with a first resource transfer facilitated by the managing entity system, a geographic location of the first resource transfer, and one or more product identifiers associated with the first resource transfer;
assign the resource transfer dataset to a category of dataset types, wherein an assigned category is selected from one or more of a plurality of predetermined categories;
query a database for one or more datasets matching the assigned category and append the resource transfer dataset to the one or more datasets matching the assigned category, creating a combined dataset;
process the combined dataset via a machine learning engine to identify an emerging trend in the assigned category for a particular geographic location, wherein processing the combined dataset via the machine learning engine further comprises:
linking a purchase of a product on a first date to an additional purchase of a second, related product on second date, wherein the first product and the second products further comprise consumer goods;
identifying that the purchase and the additional purchase were each conducted in the same geographic region; and
based on the product and the related product being correlated to a particular season, generating a prediction that a third purchase will occur in the same geographic region;
receive a merchant dataset from the managing entity system comprising merchant identifiers, merchant products, current merchant product distributors, and geographic locations of the merchant's current customer market for one or more merchants;
process the merchant dataset via the machine learning engine to identify a subset of merchants of the one or more merchants as previously selling the product and the related product relevant to the emerging trend;
further identify the subset of merchants based on the subset of merchants having existing distributor relationships in the particular geographic region, wherein the existing distributor relationships comprise specific distributors in the particular geographic area that the subset of merchants utilize to ship products; and
transmit a notification to the managing entity system, wherein the notification comprises information associated with the emerging trend and the subset of merchants.
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