AI-DRIVEN SYSTEM FOR ADVERTISING THROUGH VIRTUAL ENTITIES

Abstract

ABSTRACT AI-Driven System for Advertising Through Virtual Entities The present disclosure introduces AI-driven system for advertising through virtual entities 100 is designed to enhance digital advertising through personalized and immersive campaigns. The system comprises of data collection module 102, AI analytics engine 104 for processing insights, virtual entity creation and management module 106 for customizing avatars and chatbots, and content generation module 108 for generating personalized ads. Other components are Integration interfaces 110, dynamic user profiling system 112, Behavioral modeling engine 114 ,performance monitoring and optimization module 116, automated resource management tool 118, sentiment analysis tools 120, Context-aware optimization module 122 -channel deployment system 124, Predictive analytics engine 126, user journey mapping tool 128, customization toolkit 130, adaptive algorithms 132, language adaptation module 134, ROI prediction model 136, VR/AR module 138, feedback loop 140, compliance framework 142, gamification module 144, and simulation tool 146 enhance campaign performance and engagement. Reference Fig 1

Specification

Description:AI-Driven System for Advertising through Virtual Entities
TECHNICAL FIELD
[0001] The present innovation relates to an AI-driven system for creating, managing, and optimizing advertising campaigns through virtual entities in digital environments.

BACKGROUND

[0002] The advertising industry has experienced significant transformations, shifting from traditional media such as print and television to digital platforms driven by data and technology. While digital advertising offers opportunities for targeted outreach, advertisers still face challenges in capturing user attention amidst growing competition. Existing options for digital advertising include social media campaigns, programmatic ads, influencer marketing, and personalized email marketing. Although these approaches provide some level of targeting, they are often limited by ad fatigue, lack of engagement, and skepticism among consumers, resulting in reduced effectiveness over time. Traditional ads may appear intrusive or irrelevant, and even influencer campaigns can seem inauthentic when overused.

[0003] To address these challenges, many advertisers have adopted artificial intelligence (AI) tools for predictive analytics and automation. However, these tools often focus on optimizing existing processes rather than reimagining new ways to engage audiences. Additionally, static advertisements lack interactivity, while the manual management of campaigns across platforms is time-consuming and prone to inefficiencies. This leaves a gap for a system that offers dynamic, immersive, and personalized advertising experiences that can evolve with user behavior and preferences.

[0004] The AI-driven system for advertising through virtual entities differentiates itself by integrating AI capabilities with virtual avatars, chatbots, and digital influencers to create engaging and interactive campaigns. This invention addresses the drawbacks of traditional digital ads by employing machine learning algorithms that analyze real-time user behavior, enabling virtual entities to interact meaningfully with users across platforms. Unlike existing options, this system offers features such as dynamic user profiling, automated content generation, cross-platform integration, and behavior-based interactions through virtual entities. The novelty lies in the seamless combination of AI-driven analytics with immersive advertising through virtual entities, which not only enhances personalization but also fosters authentic brand connections. By automating campaign management and improving engagement, the system helps businesses optimize advertising efforts while minimizing costs


OBJECTS OF THE INVENTION

[0005] The primary object of the invention is to create personalized and engaging advertising campaigns by leveraging AI-driven virtual entities.

[0006] Another object of the invention is to enhance consumer engagement through interactive and immersive experiences across multiple digital platforms.

[0007] Another object of the invention is to optimize advertising performance by utilizing real-time user profiling and predictive analytics.

[0008] Another object of the invention is to reduce advertising costs through automated campaign management and targeted resource allocation.

[0009] Another object of the invention is to overcome ad fatigue and skepticism by fostering authentic connections with consumers via digital influencers and avatars.

[00010] Another object of the invention is to streamline campaign deployment through seamless integration with social media networks, websites, and e-commerce platforms.

[00011] Another object of the invention is to support ethical marketing practices by ensuring compliance with data privacy regulations and user consent management.

[00012] Another object of the invention is to provide advertisers with sentiment analysis tools that enable dynamic adjustments based on user reactions.

[00013] Another object of the invention is to offer multi-language and culturally adaptive content generation for global reach and inclusivity.

[00014] Another object of the invention is to introduce gamification and augmented reality elements in advertising, enhancing user interaction and brand loyalty.


SUMMARY OF THE INVENTION

[00015] In accordance with the different aspects of the present invention, AI-driven system for advertising through virtual entities is presented. It leverages advanced AI algorithms to create personalized and interactive advertising campaigns using avatars, chatbots, and digital influencers. It analyzes real-time user behavior for optimized targeting and dynamic content delivery across multiple digital platforms. The system reduces ad fatigue, enhances engagement, and fosters authentic brand connections while ensuring compliance with data privacy regulations. It offers features like automated campaign management, predictive analytics, and multi-language adaptation for global reach.

[00016] Additional aspects, advantages, features and objects of the present disclosure would be made apparent from the drawings and the detailed description of the illustrative embodiments constructed in conjunction with the appended claims that follow.

[00017] It will be appreciated that features of the present disclosure are susceptible to being combined in various combinations without departing from the scope of the present disclosure as defined by the appended claims.

BRIEF DESCRIPTION OF DRAWINGS
[00018] The summary above, as well as the following detailed description of illustrative embodiments, is better understood when read in conjunction with the appended drawings. For the purpose of illustrating the present disclosure, exemplary constructions of the disclosure are shown in the drawings. However, the present disclosure is not limited to specific methods and instrumentalities disclosed herein. Moreover, those in the art will understand that the drawings are not to scale. Wherever possible, like elements have been indicated by identical numbers.

[00019] Embodiments of the present disclosure will now be described, by way of example only, with reference to the following diagrams wherein:

[00020] FIG. 1 is component wise drawing for AI-driven system for advertising through virtual entities.

[00021] FIG 2 is working methodology of AI-driven system for advertising through virtual entities.

DETAILED DESCRIPTION

[00022] The following detailed description illustrates embodiments of the present disclosure and ways in which they can be implemented. Although some modes of carrying out the present disclosure have been disclosed, those skilled in the art would recognise that other embodiments for carrying out or practising the present disclosure are also possible.

[00023] The description set forth below in connection with the appended drawings is intended as a description of certain embodiments of AI-driven system for advertising through virtual entities and is not intended to represent the only forms that may be developed or utilised. The description sets forth the various structures and/or functions in connection with the illustrated embodiments; however, it is to be understood that the disclosed embodiments are merely exemplary of the disclosure that may be embodied in various and alternative forms. The figures are not necessarily to scale; some features may be exaggerated or minimised to show details of particular components. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a representative basis for teaching one skilled in the art to variously employ the present invention.

[00024] While the disclosure is susceptible to various modifications and alternative forms, specific embodiment thereof has been shown by way of example in the drawings and will be described in detail below. It should be understood, however, that it is not intended to limit the disclosure to the particular forms disclosed, but on the contrary, the disclosure is to cover all modifications, equivalents, and alternatives falling within the scope of the disclosure.

[00025] The terms "comprises", "comprising", "include(s)", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a setup, or system that comprises a list of components or steps does not include only those components or steps but may include other components or steps not expressly listed or inherent to such setup or system. In other words, one or more elements in a system or apparatus preceded by "comprises... a" does not, without more constraints, preclude the existence of other elements or additional elements in the system or apparatus.

[00026] In the following detailed description of the embodiments of the disclosure, reference is made to the accompanying drawings and which are shown by way of illustration-specific embodiments in which the disclosure may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the disclosure, and it is to be understood that other embodiments may be utilized and that changes may be made without departing from the scope of the present disclosure. The following description is, therefore, not to be taken in a limiting sense.

[00027] The present disclosure will be described herein below with reference to the accompanying drawings. In the following description, well-known functions or constructions are not described in detail since they would obscure the description with unnecessary detail.

[00028] Referring to Fig. 1, AI-driven system for advertising through virtual entities 100 is disclosed, in accordance with one embodiment of the present invention. It comprises of data collection module 102, AI analytics engine 104, virtual entity creation and management module 106, content generation module 108, integration interfaces 110, dynamic user profiling system 112, behavioral modeling engine 114, performance monitoring and optimization module 116, automated resource management tool 118, sentiment analysis tools 120, context-aware advertising optimization module 122, multi-channel deployment system 124, predictive analytics engine for campaign performance 126, cross-platform user journey mapping tool 128, virtual entity customization toolkit 130, adaptive learning algorithm system for trend analysis 132, multi-language and cultural adaptation module 134, data-driven ROI prediction model 136, VR/AR integration module 138, feedback loop mechanism 140, compliance framework 142, gamification module 144, campaign scenario simulation tool 146.
[00029] Referring to Fig. 1, the present disclosure provides details of AI-driven system for advertising through virtual entities 100 is designed to enhance digital advertising by leveraging advanced AI and virtual entities like avatars, chatbots, and digital influencers. It offers features such as real-time data analysis, predictive analytics, personalized content generation, and seamless multi-channel deployment. Key functionalities include dynamic user profiling system 112, context-aware advertising optimization module 122, and behavioral modeling engine 114 to ensure engaging user interactions. The system integrates content generation module 108 with virtual entity creation and management module 106 for effective campaign customization. Automated resource management tool 118 optimizes budget allocation, while sentiment analysis tools 120 refine messaging based on user reactions. Additional components like VR/AR integration module 138 and gamification module 144 provide immersive and interactive advertising experiences. This modular and adaptive system ensures compliance with privacy standards through compliance framework 142, making it a scalable and efficient solution for modern digital marketing.

[00030] Referring to Fig. 1, AI-driven system for advertising through virtual entities 100, is provided with data collection module 102, which gathers user data from social media platforms, websites, and other digital touch points to build a comprehensive data pool. This module works in conjunction with dynamic user profiling system 112 to continuously update user profiles based on passive and active inputs, ensuring precise targeting for campaigns.

[00031] The system further incorporates AI analytics engine 104, which processes the collected data using machine learning algorithms to identify patterns, predict behavior, and optimize advertising strategies. This engine provides insights to virtual entity creation and management module 106 for customizing avatars and chatbots, ensuring that their interactions align with user behavior and preferences.

[00032] Content generation module 108 plays a crucial role by using NLP and generative algorithms to create personalized ads tailored to individual user profiles. It draws information from AI analytics engine 104 and collaborates with sentiment analysis tools 120 to ensure advertisements resonate positively with users, enhancing engagement and interaction.

[00033] Integration interfaces 110 enable seamless deployment of advertising campaigns across multiple digital platforms, ensuring consistent messaging. These interfaces interwork with multi-channel deployment system 124, which ensures ads are displayed across the appropriate channels and touch points based on context-aware advertising optimization module 122.

[00034] Automated resource management tool 118 optimizes budget allocation in real-time, using performance data provided by performance monitoring and optimization module 116. This ensures that resources are directed to the most effective campaigns, with predictive analytics engine for campaign performance 126 providing forecasts to guide strategy adjustments and maximize ROI.

[00035] The virtual entity customization toolkit 130 allows advertisers to design and modify avatars and chatbots to align with brand identity, ensuring consistency across campaigns. This toolkit works closely with behavioral modeling engine 114, which simulates realistic interactions and adapts the behavior of virtual entities based on user responses.

[00036] Adaptive learning algorithm system for trend analysis 132 ensures that the system stays relevant by analyzing market dynamics and evolving consumer behavior. It feeds insights to cross-platform user journey mapping tool 128, which tracks user interactions across devices and touch points, optimizing the conversion funnel.
[00037] Multi-language and cultural adaptation module 134 customizes advertisements to fit various cultural contexts, ensuring inclusivity and global reach. It supports VR/AR integration module 138, which delivers immersive advertising experiences by allowing users to engage with virtual entities in 3D environments, enhancing interaction and brand impact.

[00038] Compliance framework 142 ensures that all data collection and usage adhere to privacy regulations, fostering consumer trust. It works in tandem with feedback loop mechanism 140, which continuously refines algorithms and strategies based on real-time user interactions and campaign performance.

[00039] Finally, gamification module 144 introduces interactive elements, such as challenges and rewards, to encourage deeper user engagement, while campaign scenario simulation tool 146 allows advertisers to visualize different campaign strategies and test them before full-scale deployment. This modular architecture ensures the system's adaptability, scalability, and efficiency in delivering impactful digital advertising campaigns.


[00040] Referring to Fig 2, there is illustrated method 200 for AI-driven system for advertising through virtual entities 100. The method comprises:

At step 202, method 200 includes data collection module 102 gathering user data from social media platforms, browsing behavior, and other digital sources;

At step 204, method 200 includes AI analytics engine 104 processing the collected data to identify behavioral patterns and trends;

At step 206, method 200 includes dynamic user profiling system 112 updating user profiles in real-time based on both passive data inputs and active feedback;

At step 208, method 200 includes virtual entity creation and management module 106 customizing avatars, chatbots or digital influencers based on user preferences;

At step 210, method 200 includes content generation module 108 generating personalized advertisement content using NLP and generative design algorithms;

At step 212, method 200 includes context-aware advertising optimization module 122 adjusting advertisement delivery based on factors like user location, time, and engagement level;

At step 214, method 200 includes multi-channel deployment system 124 distributing advertisements seamlessly across social media, websites, and e-commerce platforms;

At step 216, method 200 includes behavioral modeling engine 114 enabling virtual entities to interact dynamically with users and adapt their responses based on engagement;

At step 218, method 200 includes predictive analytics engine for campaign performance 126 forecasting user behavior and campaign outcomes to guide strategy optimization;

At step 220, method 200 includes automated resource management tool 118 allocating budgets and optimizing ad spending in real-time;

At step 222, method 200 includes sentiment analysis tools 120 evaluating user reactions and adjusting messaging accordingly;

At step 224, method 200 includes data-driven ROI prediction model 136 forecasting return on investment to inform future resource allocation;

At step 226, method 200 includes cross-platform user journey mapping tool 128 tracking user interactions across different platforms to optimize conversion strategies;

At step 228, method 200 includes multi-language and cultural adaptation module 134 tailoring advertisements to suit different linguistic and cultural contexts;

At step 230, method 200 includes VR/AR integration module 138 delivering immersive advertising experiences through virtual and augmented reality environments;

At step 232, method 200 includes gamification module 144 introducing interactive elements such as challenges and rewards to enhance user engagement;

At step 234, method 200 includes feedback loop mechanism 140 continuously refining algorithms and strategies based on real-time campaign performance;

At step 236, method 200 includes compliance framework 142 ensuring adherence to data privacy regulations and maintaining ethical marketing practices;

At step 238, method 200 includes campaign scenario simulation tool 146 enabling advertisers to visualize and test strategies before full-scale deployment.

[00041] In the description of the present invention, it is also to be noted that, unless otherwise explicitly specified or limited, the terms "fixed" "attached" "disposed," "mounted," and "connected" are to be construed broadly, and may for example be fixedly connected, detachably connected, or integrally connected, either mechanically or electrically. They may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood in specific cases to those skilled in the art.

[00042] Modifications to embodiments of the present disclosure described in the foregoing are possible without departing from the scope of the present disclosure as defined by the accompanying claims. Expressions such as "including", "comprising", "incorporating", "have", "is" used to describe and claim the present disclosure are intended to be construed in a non- exclusive manner, namely allowing for items, components or elements not explicitly described also to be present. Reference to the singular is also to be construed to relate to the plural where appropriate.

[00043] Although embodiments have been described with reference to a number of illustrative embodiments thereof, it should be understood that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the spirit and scope of the principles of this disclosure. More particularly, various variations and modifications are possible in the component parts and/or arrangements of the subject combination arrangement within the scope of the present disclosure, the drawings and the appended claims. In addition to variations and modifications in the component parts and/or arrangements, alternative uses will also be apparent to those skilled in the art.
, Claims:WE CLAIM:
1. An AI-driven system for advertising through virtual entities 100 comprising of
data collection module 102 to gather user data from social media, browsing behavior, and other digital sources;

AI analytics engine 104 to process collected data and identify behavioral patterns and trends;

virtual entity creation and management module 106 to design, customize, and manage avatars, chatbots, and digital influencers;

content generation module 108 to create personalized advertisements using NLP and generative algorithms;

integration interfaces 110 to facilitate seamless deployment of advertisements across platforms;

dynamic user profiling system 112 to update and refine user profiles based on real-time data;

behavioral modeling engine 114 to simulate and adapt virtual entity behavior based on user interactions;

performance monitoring and optimization module 116 to track campaign metrics and optimize performance;

automated resource management tool 118 to allocate budgets and manage resources in real-time;

sentiment analysis tools 120 to evaluate emotional responses to advertisements;

context-aware advertising optimization module 122 to adjust content delivery based on time, location, and engagement;

multi-channel deployment system 124 to distribute ads across multiple platforms while maintaining consistency;

predictive analytics engine for campaign performance 126 to forecast user behavior and optimize strategies;

cross-platform user journey mapping tool 128 to track user behavior across devices and optimize conversions;

virtual entity customization toolkit 130 to create and modify avatars and chatbots according to brand identity;

adaptive learning algorithm system for trend analysis 132 to analyze market trends and user behavior;

multi-language and cultural adaptation module 134 to customize ads for different languages and cultural contexts;

data-driven ROI prediction model 136 to forecast return on investment for campaigns;

VR/AR integration module 138 to create immersive advertising experiences through virtual and augmented reality;

feedback loop mechanism 140 to continuously refine algorithms based on real-time campaign data;

compliance framework 142 to ensure adherence to privacy regulations and ethical practices;

gamification module 144 to incorporate interactive elements like challenges and rewards; and

campaign scenario simulation tool 146 to visualize and test strategies before full-scale deployment.

2. The AI-driven system for advertising through virtual entities 100 as claimed in claim 1, wherein data collection module 102 is configured to aggregate user data from multiple sources, including social media platforms, websites, and digital touch points, ensuring comprehensive insights into user behavior and preferences.

3. The AI-driven system for advertising through virtual entities 100 as claimed in claim 1, wherein AI analytics engine 104 is configured to analyze collected data using machine learning algorithms, identifying behavioral patterns, predicting trends, and optimizing advertising strategies in real-time.

4. The AI-driven system for advertising through virtual entities 100 as claimed in claim 1, wherein virtual entity creation and management module 106 is configured to design, customize, and manage avatars, chatbots, and digital influencers, ensuring alignment with brand identity and user preferences for enhanced engagement.

5. The AI-driven system for advertising through virtual entities 100 as claimed in claim 1, wherein content generation module 108 is configured to generate personalized advertisement content using NLP and generative algorithms, ensuring relevance and engagement based on user profiles and real-time data.

6. The AI-driven system for advertising through virtual entities 100 as claimed in claim 1, wherein dynamic user profiling system 112 is configured to continuously update user profiles based on passive data collection and active feedback, enabling precise targeting for personalized advertising campaigns.

7. The AI-driven system for advertising through virtual entities 100 as claimed in claim 1, wherein multi-channel deployment system 124 is configured to distribute advertisements seamlessly across multiple platforms, including social media, websites, and e-commerce channels, ensuring consistent messaging and reach.

8. The AI-driven system for advertising through virtual entities 100 as claimed in claim 1, wherein automated resource management tool 118 is configured to allocate budgets and optimize campaign resources in real-time based on performance metrics, maximizing return on investment.

9. The AI-driven system for advertising through virtual entities 100 as claimed in claim 1, wherein VR/AR integration module 138 is configured to deliver immersive and interactive advertising experiences through virtual and augmented reality environments, enhancing user engagement and brand interaction.

10. The AI-driven system for advertising through virtual entities 100 as claimed in claim 1, wherein method comprises of
data collection module 102 gathering user data from social media platforms, browsing behavior, and other digital sources;
ai analytics engine 104 processing the collected data to identify behavioral patterns and trends;
dynamic user profiling system 112 updating user profiles in real-time based on both passive data inputs and active feedback;
virtual entity creation and management module 106 customizing avatars, chatbots, or digital influencers based on user preferences;
content generation module 108 generating personalized advertisement content using nlp and generative design algorithms;
context-aware advertising optimization module 122 adjusting advertisement delivery based on factors like user location, time, and engagement level;
multi-channel deployment system 124 distributing advertisements seamlessly across social media, websites, and e-commerce platforms;
behavioral modeling engine 114 enabling virtual entities to interact dynamically with users and adapt their responses based on engagement;
predictive analytics engine for campaign performance 126 forecasting user behavior and campaign outcomes to guide strategy optimization;
automated resource management tool 118 allocating budgets and optimizing ad spending in real-time;
sentiment analysis tools 120 evaluating user reactions and adjusting messaging accordingly;
data-driven roi prediction model 136 forecasting return on investment to inform future resource allocation;
cross-platform user journey mapping tool 128 tracking user interactions across different platforms to optimize conversion strategies;
multi-language and cultural adaptation module 134 tailoring advertisements to suit different linguistic and cultural contexts;
vr/ar integration module 138 delivering immersive advertising experiences through virtual and augmented reality environments;
gamification module 144 introducing interactive elements such as challenges and rewards to enhance user engagement;
feedback loop mechanism 140 continuously refining algorithms and strategies based on real-time campaign performance;
compliance framework 142 ensuring adherence to data privacy regulations and maintaining ethical marketing practices;
campaign scenario simulation tool 146 enabling advertisers to visualize and test strategies before full-scale deployment.

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