Patent ID: 11941674
Assignee: nan
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A system for managing a local area shopping network, the system comprising:
a hardware processor; and
a memory coupled to the hardware processor, wherein the memory comprises a set of program instructions in the form of a plurality of subsystems, configured to be executed by the hardware processor, wherein the plurality of subsystems comprises:
an order request subsystem is configured to receive a request of a product order from registered one or more customers, wherein the request comprises customer information, product information and a preferred mode of order receival;
a parameter determination subsystem configured to:
determine a delivery area and a delivery schedule for each of registered one or more sellers based on the received request, wherein the delivery area is a delivery perimeter for each of registered one or more sellers;
determine product pickup area for each of the registered one or more customers based on the received request, wherein the product pickup area is a customer pickup perimeter;
determine a current location information of the registered one or more customers associated with the received request based on real-time location tracking model;
extract product information from the received request;
apply the product related information onto a trained artificial intelligence-based parameter determination model;
determine the delivery area listed by the registered one or more sellers matching the extracted product related information based on output of the trained artificial intelligence-based parameter determination model;
extract the delivery area information and the selling mode information from the received request;
apply the delivery area information and the selling mode information of each of the registered one or more sellers to an artificial intelligence-based scheduling model;
determine the delivery schedule based on output of the trained artificial intelligence-based scheduling model, wherein the delivery schedule comprises delivery once in a day, delivery once in a week and delivery twice in a week;
extract the purchasing mode information from the received customer information;
apply the purchasing mode information of each of the registered one or more customers to an artificial intelligence-based parameter determination model; and
determine geofence product pickup area based on output of a trained artificial intelligence-based parameter determination model;

a product transaction subsystem executed on the processor and configured to:
detect a list of the registered one or more sellers based on the determined delivery area for each of the registered one or more sellers and the determined current location information of the registered one or more customers;
identify at least one seller from the detected list of the registered one or more sellers based on the received request of the product order;
establish a direct communication link between the identified seller and each of the registered one or more customers;
forward the received request of the product order to the identified seller for delivery;
receive acceptance message for the forwarded request of the product order from the identified seller; and
complete the delivery of the product order to the registered one or more customers associated with the received request upon accepting the received request; and

a transaction management subsystem configured to transfer payment of the delivered product order directly to the identified seller from the registered one or more customers through one or more payment preferences.