| CPC G06Q 10/087 (2013.01) [G06F 18/214 (2023.01); G06N 20/00 (2019.01); G06Q 30/0621 (2013.01); G06Q 30/0639 (2013.01)] | 19 Claims |
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1. A method comprising:
training, by a training hardware module of a network system, a machine learning model with training data comprising item attributes and transaction locations extracted from past transactions for each item category to identify a plurality of transaction zones;
performing a risk and validation assessment by evaluating ratings and reviews of a fulfillment partner and length of time on the network system;
onboarding, by an onboarding engine of the network system, warehouse space of the fulfillment partner;
receiving, by a warehousing engine of the networking system, a warehouse request to warehouse inventory in a remote location;
in response to receiving the warehouse request, triggering an analysis hardware module of the network system to determine one or more transaction zones based on item attributes of the inventory using the trained machine learning model;
based on the determined one or more transaction zones, determining, by a recommendation hardware module of the network system, one or more warehouse spaces that satisfy a spacing requirement for the inventory; and
causing presentation, by the recommendation hardware module, of a warehouse recommendation on a client device, the warehouse recommendation indicating the one or more warehouse spaces.
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