Optimization Framework for TV Ad Under Delivery Allocation
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Solution Overview
Problem
The existing manual process for allocating under delivery units in broadcasting and cable networks is laborious, time-consuming, and involves significant rework due to its complex nature, requiring several days or weeks to complete and often results in inefficiencies in managing audience deficiency units.
Innovation Solution
A system utilizing an optimization framework that includes a multistage optimization engine to allocate under delivery units across hundreds of deals, allowing planners to run scenarios and choose allocations that best meet their needs while honoring deal constraints, thereby simplifying the under delivery allocation process and optimizing inventory use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual allocation process is used, then allocation can be performed with simple tools, but the process takes several days or weeks and involves significant rework
Solution Approach 1:
The patent replaces the manual mechanical allocation process with an automated computer-based optimization system. The system uses algorithms to automatically allocate under delivery units across multiple deals, replacing the manual planner process that previously required several days or weeks of laborious work. This substitution of mechanical manual operations with automated computational systems directly resolves the contradiction by dramatically increasing allocation speed while eliminating rework.
2Manufacturing precision
If manual allocation is performed one deal at a time, then each deal can be individually optimized, but the overall process becomes highly laborious and time-consuming
Solution Approach 1:
The patent merges the allocation of multiple deals into a single integrated optimization process. Instead of allocating deals one at a time as done manually, the system simultaneously optimizes allocation across hundreds of deals using a unified mathematical model. This combining approach maintains deal-level precision through constraints and objectives for each individual deal while dramatically increasing overall throughput by processing all deals concurrently rather than sequentially.
Solution Approach 2:
The optimization system serves multiple functions simultaneously: it allocates under delivery units, optimizes inventory distribution, ensures compliance with deal constraints, and maximizes business goals all within a single unified framework. This multi-functionality allows the system to maintain the precision of individual deal optimization while achieving the throughput of bulk processing, resolving the contradiction between precision and productivity.
3Ease of manufacture
If traditional allocation methods are used, then the process is straightforward to implement, but it results in inefficiencies in managing audience deficiency units
Solution Approach 1:
The patent replaces inefficient manual inventory management processes with an automated optimization system that uses mathematical algorithms to allocate under delivery units. This substitution maintains ease of implementation through user-friendly interfaces while dramatically improving inventory management efficiency by automatically optimizing allocation decisions across multiple deals and constraints, eliminating the inefficiencies inherent in manual methods.
Data Source
AI summary
A television advertising management system that handles a plurality of deals for a plurality of advertiser, determines which of the plurality of deals have a guaranteed audience, and are under delivering, generates a plurality of scenarios that includes a plurality of parameters corresponding to the plurality of deals, searches for a deal that meet a certain criteria based on an index of the one deal that is below a threshold value, partitions a liability inventory reserve into individual deal reserves with a corresponding reserve under delivery units based on the searched one deal and the optimal allocation solution of the reserve under delivery units across the plurality of deals, creates under delivery deal reserves based on the optimal allocation solution and generates a plurality of under delivery orders based on the created under delivery reserves.