Patent AU-2021107100-A4 (AU)
Title: An automated advertising method for taking personalized and staying location based informational offers related to immediate business using machine learning model
Inventor: SEN RUCHIRA
IPC: G06N20/00
Filed: 2021-08-25
Granted: 2021-12-02
Abstract: An automated advertising method for taking personalizedand staying 
location based informational offers related to immediate business using 
machine learning model 
ABSTRACT 
The present invention relates to an advertisement system for providing personalized and visiting 
location based promotional offers related to nearby location using machine learning model. The 
objective of present invention is to solve the anomalies presented in the prior art techniques and 
using advanced technique for providing advertisements to the consumers of the nearby business 
based on the current or visiting location and consumers/customers browsing history using 
machine learning model. Customers often going for market for buying something from the market 
need to wander here and there in the market for searching for relevant shops in the market and 
getting the searched article at a reasonable price. Further, consumers often search for the 
products or article in their phone before buying in the market. Hence, the proposed invention 
recommends the products based on the browsing history of the consumer along with providing 
the promotional offers from the nearby shops of the current location of the consumer using 
machine learning model. The proposed invention captures the location of the consumers from 
the GPS sensor of the mobile terminal. The proposed invention first registers the business and 
maintains a database of the registered business on the server along with location of the registered 
business. The registered business periodically updates or adds the promotional offers related to 
the product of their businesses. The proposed invention comprises a central server which is based 
on machine learning model. The said machine learning model is trained using initial database of 
the related category and test cases. The central server dynamically or periodically monitors the 
browsing history of the consumers which are analyzed by the machine learning model at the 
central server in consultation with the registered businesses. Further, the central servers 
dynamically monitor the location of the consumers based on the location available through the 
GPS sensor of the mobile terminal of the consumer. Every aspect of the registered businesses, 
location and browsing history of the consumer is analyzed by the machine learning model of the 
said system. The whole process of said advertisement system is automatic and dynamic in nature.  
Further, the central server based on the browsing history of the consumer, current location of the 
consumer captured through the mobile terminal, promotional offers of the registered business in 
the vicinity of current location of the consumer provides or recommends or provides the 
advertisement to the consumer using the analysis of the machine leaning model. The said 
machine learning model is adaptive and self-learning in nature and the recommendations or 
advertisement to the consumers are more relevant and precise with time. Thus, using the 
advanced technology of machine learning model, the consumers or customers will get the 
information related to the products along with best promotional offers available on the required 
product in the current location of the consumer. The proposed advertisement system is fully 
automatic, dynamic in nature and helps the consumers in providing the required products with 
best available cost quickly and efficiently.  
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Database (102) 
Customer 1 
Customer 2 
server (103) 
Communication 
network (101) 
Customer n 
Machine 
learning 
model 
Figure 1: Block diagram of an automated advertising method for taking personalizedand staying 
location based informational offers related to immediate business using machine learning model 
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