Automated Media Asset Allocation System for Digital Campaign Scheduling
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Solution Overview
Problem
Current media delivery systems face inefficiencies in scheduling and allocating advertisements, leading to makegoods and lost revenue due to separate decision-making processes for advertisement sales and traffic systems, resulting in manual and heuristic approaches that fail to optimize campaign requests and inventory utilization.
Innovation Solution
A system that automatically manages digital media asset delivery by using data stores for content and inventory, a campaign manager processor, and algorithms for optimizing allocation based on consumption data and metadata, allowing for automated decision-making on campaign requests and inventory allocation to ensure consistent and profitable scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If separate decision-making processes are used for advertisement sales and traffic systems, then operational simplicity is maintained, but allocation efficiency and revenue optimization deteriorate
Solution Approach 1:
The patent merges the advertisement sales system and traffic system into a unified automated allocation system. The campaign manager processor integrates both sales parameters (campaign requests, pricing) and traffic parameters (inventory availability, scheduling) to make coordinated decisions, eliminating the inefficiencies of separate decision-making processes while maintaining manageable complexity through automation.
Solution Approach 2:
The system implements self-service through automated algorithms that independently optimize campaign allocation without manual intervention. The campaign manager processor automatically analyzes consumption data, evaluates campaign requests against inventory constraints, and makes allocation decisions based on predefined optimization criteria, enabling the system to serve itself rather than requiring separate human-operated subsystems.
2Ease of operation
If manual construction of campaigns by account executives is used, then flexibility in decision-making is maintained, but time consumption and operational costs increase
Solution Approach 1:
The patent replaces the manual mechanical process of account executives constructing campaigns with an automated computational system. The campaign manager processor uses algorithms to automatically construct and optimize campaigns based on consumption data and inventory parameters, substituting human manual operations with automated mechanical processes that operate faster and without interruption.
Solution Approach 2:
The system performs preliminary action by pre-processing consumption data and pre-evaluating campaign requests against inventory constraints before final allocation decisions are made. The automated system proactively identifies optimal allocation opportunities and prepares allocation plans in advance, preventing the need for time-consuming makegoods processing later.
3Ease of manufacture
If heuristic scheduling is used in advertising traffic systems, then implementation simplicity is maintained, but revenue optimization and campaign fulfillment accuracy deteriorate
Solution Approach 1:
The patent changes the parameters used in scheduling from simple heuristic rules to complex multi-parameter optimization based on consumption data. The system analyzes historical consumption patterns, campaign performance metrics, and inventory constraints to dynamically adjust allocation parameters, achieving high precision in campaign fulfillment while maintaining implementation through automated computational processes.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring consumption data from delivered campaigns and using this information to refine future allocation decisions. The campaign manager processor incorporates real-time and historical consumption data into its optimization algorithms, creating a closed-loop system that improves allocation accuracy over time while maintaining automated implementation simplicity.
Data Source
AI summary
A system for automatically managing the delivery of media assets allocates the media assets to delivery slots of a media delivery servers so that consumers will receive the media assets when they consume digital media programming at times that correspond to the delivery slots. An example is the automated allocation of sponsored videos to television programs airing on a particular afternoon. The system includes data stores and a campaign manager system. The campaign manager system will automatically allocate digital media assets to delivery slots in a campaign to generate scheduling files that media servers will use to present the allocated media assets to consumers during the assigned delivery slots via media consumption devices.