Broadcast Inventory Assignment Using Flexible Ad Order Matching
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Solution Overview
Problem
Conventional media advertising systems rely on static data sets and fixed associations between media advertising orders and broadcast inventory, leading to inflexible campaign plans, operational inefficiencies, and difficulties in attributing advertising exposure across different platforms.
Innovation Solution
A system that utilizes flexibility attributes to dynamically re-associate media advertising orders with broadcast inventory, allowing for real-time adjustments based on changing data and environmental conditions, and employs dynamic data sets to optimize inventory placement and attribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional binary association mapping is used to assign orders to inventory, then the system is simple to operate, but the system lacks flexibility and cannot dynamically adjust assignments
Solution Approach 1:
The patent implements dynamic assignment by allowing the system to continuously evaluate and reassign advertising orders to different inventory units based on real-time conditions. The mapping is no longer static but changes dynamically as new orders arrive or conditions change, enabling flexible adaptation without requiring complete system redesign.
Solution Approach 2:
The system changes the state parameter of inventory assignments from fixed to variable. By introducing a pool of candidate inventory units and allowing multiple orders to be associated with the same inventory unit across different time periods, the system transforms the rigid binary mapping into a flexible parameter-based assignment model.
2Productivity
If first-come first-served mapping is used, then the assignment process is fast and simple, but later-submitted orders cannot access previously booked inventory
Solution Approach 1:
The system dynamically manages inventory availability by maintaining a pool of candidate inventory units that can be reassigned. When new orders are submitted, the system evaluates the entire pool rather than being constrained by first-come first-served rules, allowing efficient fulfillment while maximizing inventory utilization across all orders.
Solution Approach 2:
Inventory units serve multiple functions and can be assigned to different orders at different times. The same inventory unit can be a candidate for multiple orders, and the system universally evaluates all candidates regardless of when orders were submitted, enabling both fast processing and high utilization.
3Adaptability or versatility
If static data sets are used for media planning, then the planning process is straightforward, but the system cannot adapt to changing market conditions
Solution Approach 1:
The system performs self-service by automatically evaluating candidate inventory units and making assignment decisions without requiring manual approval. The automated system continuously monitors market conditions and adjusts assignments in real-time, eliminating the time loss associated with manual interventions while adapting to changing conditions.
Solution Approach 2:
The system implements feedback loops where assignment outcomes are continuously evaluated and used to improve future assignments. By monitoring the performance and market response of placed ads, the system adjusts its candidate pool and assignment strategy, enabling adaptation to market changes without manual intervention.
4Adaptability or versatility
If manual intervention is required to bypass the automated system, then flexibility in reassignment is achieved, but operational efficiency decreases
Solution Approach 1:
The automated system provides self-service by handling all reassignment operations without requiring manual bypasses. The system independently evaluates candidate inventory units and executes reassignments based on real-time conditions, maintaining both flexibility and operational efficiency by eliminating the need for manual intervention entirely.
Data Source
AI summary
An automated planning system obtains media advertising order specifications associated with media placement orders, wherein the media advertising order specifications include flexibility attributes associated with media items referenced in the media placement orders. The planning system generates an orders table including order information associated with individual orders, an inventory table including inventory information associated with individual inventory items, and an association table including association scores indicating levels of association between the individual inventory items and the individual orders, wherein the association scores are based on the flexibility attributes. The media placement orders are booked into a plan lineup based, at least in part, on the association scores.