Patent AU-2021106436-A4 (AU)
Title: An automatic advertising system for providing personalized and visiting location based promotional offers related to nearby business using machine learning model
Inventor: TAMRAKAR SITENDRA
IPC: G06Q30/02
Filed: 2021-08-22
Granted: 2021-11-25
Abstract: An automatic advertising system for providing personalized and visiting 
location based promotional offers related to nearby 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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registering the business along with the location and products 
catalogue sold by that business (201) 
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updating the promotional offers related to registered business in 
database at central server periodically (202) 
capturing the browsing history of the mobile device of the user 
terminal at predetermined intervals (203) 
capturing the current location of the user terminal using GPS system of 
the mobile device of the user terminal continuously (204) 
analyzing, by the machine learning model, at the central server, the 
captured data related to location and user browsing history of mobile 
terminal along with promotional offers to related products of nearby 
location of user terminal (205) 
determining the location based personalized promotional offers by the 
machine learning model based on analysis of said data (206) 
posting location based personalized promotional offers to the user 
terminal in the form of advertisement related to nearby businesses (207) 
Figure 2 - Flow-diagram of the method automatic advertising system for providing location based 
personalized promotional offers of nearby business using machine learning model 
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