Promotion Planning Optimization Framework for Broadcast Inventory Allocation

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Solution Overview

Problem

Broadcasting and cable networks face challenges in balancing the mix of total inventory units across different inventory utilization types, such as upfront, scatter, promos, and filler spots, due to varying demands and business objectives.

Innovation Solution

A method and system for promotion planning that utilizes an optimization framework to dynamically allocate inventory units across various inventory utilization types, based on defined parameters such as revenue maximization and penalty minimization, to meet multiple objectives efficiently.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional manual methods are used to allocate inventory units across different inventory utilization types, then flexibility in decision-making is maintained, but the allocation efficiency and optimization of revenue generation deteriorate

Engineering Contradiction:

Improveallocation efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

An optimization framework acts as an intermediary between inventory availability and allocation decisions. The framework includes an objective function that calculates revenue based on inventory mix and a constraint satisfaction module that ensures allocation meets business requirements, thereby automating complex allocation decisions without requiring direct human intervention in each decision

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces manual mechanical decision-making processes with an automated computational optimization system. The system uses mathematical optimization algorithms to automatically determine optimal inventory allocation across different utilization types (upfront, scatter, promos, filler), substituting human manual allocation with algorithmic decision-making that processes multiple objectives simultaneously

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If the mix of inventory units is rigidly fixed across different inventory utilization types, then operational simplicity is maintained, but adaptability to varying demands and business objectives deteriorates

Engineering Contradiction:

Improveadaptability to demandsVSAvoidallocation system complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The inventory allocation system is designed to be dynamic rather than static. The optimization framework continuously adjusts inventory mix allocations based on current demands and business objectives. The system can re-optimize allocations in response to changing conditions, allowing the mix of inventory units across different utilization types to adapt dynamically to varying requirements

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes key parameters of inventory allocation based on optimization results. The objective function and constraints can be modified to reflect different business scenarios, allowing the system to adapt to varying demands by adjusting allocation parameters such as the proportion of inventory assigned to upfront, scatter, promo, and filler utilization types

Inventive Principle:

Principle #35Parameter changes

3Reliability

If inventory units are allocated without an optimization framework, then implementation simplicity is maintained, but revenue maximization and penalty minimization deteriorate

Engineering Contradiction:

Improverevenue generation reliabilityVSAvoidinventory management efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The optimization framework incorporates feedback mechanisms where the objective function evaluates the quality of allocation decisions based on revenue generation and penalty minimization. The system uses this feedback to iteratively improve allocations, ensuring that decisions are continuously refined to maximize revenue while minimizing penalties from failing to meet targets

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary optimization calculations before final allocation decisions are made. The objective function pre-calculates the expected revenue and penalties for different allocation scenarios, allowing the system to select the optimal allocation before implementation, thereby ensuring reliable revenue generation while maintaining efficient inventory management

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12211060B2Promotion planning for managing allocation of inventory mix utilizing an optimization framework

Publication Date: 2025.01.28 TURNER BROADCASTING SYSTEM INC

AI summary

A system is provided that generates values associated with a promotion impact measure for each promotional campaign based on historical data and an expected audience. A number of inventory units is determined for each promotional campaign that corresponds to a promotion inventory utilization type, based on a difference in estimated demand value for the inventory units for a specified duration for a scatter inventory utilization type and current value of actual demand units for the specified duration and a gross sum of the values for defined number of weeks of each promotional campaign and a plurality of constraints. Inventory units are allocated among each inventory utilization type based on number of inventory units for each promotional campaign to meet defined parameters for the defined amount of inventory units for specified durations until the end of the specified upcoming time-frame. Content is distributed via a channel based on allocated inventory units.