AI Media Customization for Faster Personalized Ad Creation
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Solution Overview
Problem
Existing systems struggle to maintain audience attention on digital platforms, particularly in advertisements, and lack cost-effective solutions for local shops and retailers to create personalized and efficient marketing campaigns.
Innovation Solution
A system utilizing AI engines to generate predictive models based on user input parameters, extracting attributes, and applying post-processing techniques for visual attention-based advertisement enhancements, including template cards with photos, graphics, and musical elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional advertising systems are used to create personalized ads for targeted audiences, then ad effectiveness can be improved, but production time and costs increase significantly
Solution Approach 1:
The system pre-generates multiple template cards with different visual styles, layouts, and content configurations before the actual advertising campaign. These templates are stored and can be quickly assembled and customized using AI-based automated processes, eliminating the need for time-consuming manual ad creation while maintaining personalization effectiveness
Solution Approach 2:
The system dynamically adjusts multiple parameters including visual attention scores, color schemes, text overlays, and template selections based on real-time audience data and predictive models. This automated parameter optimization enables rapid generation of personalized ads without manual intervention, resolving the contradiction between effectiveness and production time
2Adaptability or versatility
If manual customization of advertisement content is performed for local shops and retailers, then ad personalization can be improved, but production costs increase significantly
Solution Approach 1:
The system creates reusable template cards that can be copied and adapted for different local shops and retailers. These templates contain pre-designed visual elements, layouts, and structures that can be automatically customized with shop-specific data through AI processes, eliminating the need for expensive manual design work while maintaining high personalization levels
Solution Approach 2:
The system enables local shops and retailers to self-serve by automatically generating personalized advertisements using their own business data and the AI-based template card system. The automated processes handle template selection, content customization, and optimization without requiring external design services, significantly reducing production costs while maintaining adaptability
3Productivity
If AI-based predictive models and template card systems are implemented, then ad creation efficiency can be improved, but system complexity increases
Solution Approach 1:
The system segments the complex ad creation process into distinct, manageable components: template card generation, visual attention scoring, predictive modeling, and automated assembly. Each component operates independently and can be optimized separately, reducing overall system complexity while maintaining high productivity through coordinated operation of these modular elements
Data Source
AI summary
The present disclosure provides a robust and effective solution to an entity or an organization by enabling the entity to implement a system for increasing relevance and conversion rate of one or more contents. Further, the system delivers to a plurality of users based on user-specific information feed such as location, data usage pattern, recent searches, duration, activities, and the like. The plurality of contents may include mobile phones, tablets, television, Internet, and the like. The system provides for a personalized, customized, and easy to create one or more contents on a plurality of digital platforms devices used by plurality of users. The users include local shop vendors, dealers, and brands to get their product or shop advertised to the potential target audience and increase the reach and conversion rate of the advertisement.