AI OOH Media Interface for Ad Medium Selection and Campaign Setup
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Solution Overview
Problem
The process of displaying marketing materials on out-of-home advertising mediums is inefficient and time-consuming for both advertisers and OOH advertising medium owners, often resulting in unsold time slots and inefficient use of computational resources due to the manual and labor-intensive nature of finding suitable OOH advertising mediums and determining optimal parameters.
Innovation Solution
An AI-enhanced interface featuring a virtual assistant that automates the process of planning and executing advertising campaigns by integrating with an online platform, allowing advertisers to search, reserve, and display ads on OOH advertising mediums, while panel owners manage availability and pricing, utilizing AI tools for content generation and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual processes are used for finding suitable OOH advertising mediums and determining optimal parameters, then advertisers and OOH advertising medium owners can control the process, but the process becomes inefficient and time-consuming
Solution Approach 1:
The system enables automated self-service through AI agents that independently perform tasks such as finding suitable OOH advertising mediums, determining optimal display parameters, and executing campaigns without requiring constant human intervention. The AI agents autonomously navigate the platform, analyze data, and make decisions based on predefined objectives.
Solution Approach 2:
Manual mechanical processes are replaced with AI-based automated systems. The AI agents substitute human operators in performing repetitive tasks like searching for advertising mediums, analyzing performance data, and optimizing campaign parameters, thereby dramatically improving efficiency and reducing time consumption.
2Productivity
If manual processes are used for advertising campaign management, then human judgment can be applied, but computational resources are inefficiently utilized and time slots remain unsold
Solution Approach 1:
AI agents autonomously manage advertising campaigns by automatically analyzing market conditions, selecting optimal time slots, and adjusting campaign parameters in real-time. This self-service capability eliminates the need for manual monitoring and maximizes the utilization of computational resources and advertising inventory.
Solution Approach 2:
The AI-based system enables continuous optimization of advertising campaigns without interruption. AI agents continuously analyze performance data, adjust parameters, and reallocate resources dynamically, ensuring that computational resources are efficiently utilized and advertising time slots are maximally filled throughout operational periods.
3Productivity
If AI automation is implemented for advertising campaign management, then efficiency and speed are improved, but system complexity increases
Solution Approach 1:
The system employs intermediary AI agents that act as mediators between users and the complex underlying AI infrastructure. These agents present simplified interfaces to users while handling the complexity of AI model coordination, data analysis, and campaign optimization in the background, thereby maintaining high automation efficiency without exposing users to system complexity.
Solution Approach 2:
The AI-based advertising management system is segmented into multiple specialized AI agents, each responsible for specific functions such as medium selection, parameter optimization, and performance analysis. This modular segmentation reduces overall system complexity by dividing complex tasks into manageable, independent components that can be developed and maintained separately.
Data Source
AI summary
The present disclosure provides a system for building an out of home (OOH) media content campaign to address inefficiencies in manually selecting OOH advertising mediums. The system includes a platform for identifying OOH media content mediums, a datastore with data associated with the OOH media content mediums, and a virtual assistant. The virtual assistant receives user input, modifies a query using prompt engineering based on the input and the data, transmits the query to an AI trained to identify parameters associated with the OOH media content mediums, and receives an AI response indicating parameters. The technology selects the parameters identified by the AI response and, based on the selected parameters, causes the platform to identify particular OOH media content mediums relevant to the OOH media content campaign.


