Digital Space Estate Management for Dynamic Content Scheduling
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Solution Overview
Problem
The existing digital signage systems lack an efficient and cost-effective method for content providers to target their audience intelligently, as they often require deep financial resources and do not allow for dynamic content placement based on audience interest or location-specific analytics.
Innovation Solution
A digital space estate management system that divides time into variable slots for digital display nodes, allowing users to acquire and schedule content through a web portal, using dynamic pricing and analytics to optimize content placement based on user preferences and location-based data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional digital signage systems are used, then content can be displayed on digital display nodes, but content providers require deep financial resources and cannot target audience intelligently
Solution Approach 1:
The patent introduces a digital space estate management system as an intermediary platform between content providers and digital display nodes. This system includes a web portal that enables content providers to purchase digital space estates (time slots on displays) without requiring deep financial resources. The system manages the complexity of audience targeting, location-based analytics, and content scheduling automatically, allowing small providers to intelligently target audiences while reducing the operational complexity burden on individual users.
2Adaptability or versatility
If digital space estates are divided into fixed time slots, then content scheduling becomes manageable, but the system cannot dynamically adapt to audience interest or location-specific analytics
Solution Approach 1:
The patent implements dynamic time slot allocation where digital space estates can be purchased at different price points (fixed price or variable price through auctions). The system dynamically adjusts content placement based on audience interest metrics, location-specific analytics, and real-time bidding. Time slots are not rigidly fixed but can be reallocated through auctions when higher-value content emerges, enabling dynamic adaptation while maintaining scheduling efficiency through automated management.
Solution Approach 2:
The system incorporates feedback loops where audience engagement metrics, location-based analytics, and content performance data are continuously collected and used to adjust future content placement decisions. The auction mechanism provides feedback on content value, allowing the system to optimize content delivery efficiency by allocating premium time slots to high-performing content while maintaining adaptability to changing audience interests.
3Ease of operation
If variable price auctions are implemented for digital space estates, then cost-effective targeting is enabled, but transaction complexity and processing time increase
Solution Approach 1:
The system performs preliminary actions by pre-establishing digital space estates with defined parameters (location, time slot, base price) before auction events. Content providers can browse and evaluate available estates in advance, and the system prepares auction mechanisms beforehand. This preliminary structuring reduces transaction processing time during actual purchases while maintaining cost-effective access through competitive bidding, as the framework is already in place rather than creating agreements from scratch.
Data Source
AI summary
A system and method for digital space estate management and content distribution is described. This system and method is comprised of an allotted number of time slots of fixed or variable duration, which are analyzed as digital space estates and devoted to content distribution. This system is configured to provide a web service portal which allows users to view available digital space estates, and either purchase them for a fixed price or variable price by proposing a higher acquisition offer amount than potential other users who have submitted offers on the same digital space estate. The system is further configured to utilize attributes of time slots and digital display nodes to recommend time slots to users. The system is configured to allow users to resell acquired digital space estates to other users. This system and method may further include a means of generating desirability index scores based on historical patterns of digital space estate purchases and feedback from location based analytics software systems employed on the various digital display nodes. This system and method may further be comprised of a smart node tracking system that uses data, in the form of feedback data such as video recordings and location based analytics software to make decisions on both the initial delivery of digital content and the readjustment of digital content for delivery to the advancing digital display node(s) along digitally projected future paths of the respective viewers in one of any number of geographic locations.