Ad Scheduling Engine Overbooking Optimization
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Solution Overview
Problem
Current scheduling systems for advertising lack flexibility and functionality in handling overbooking scenarios and optimizing advertisement placement across various media platforms.
Innovation Solution
A scheduling engine that allows users to define criteria for advertising events, compares available slots with order specifications, and optimizes placement using user-defined criteria, including priority, value, and relativity to other events, with the ability to bump less important events and periodically reevaluate unscheduled events for placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a scheduling system uses programmatic solutions to handle overbooking scenarios, then the system can manage advertising events more reliably, but the system lacks flexibility and functionality in optimizing advertisement placement
Solution Approach 1:
The scheduling system dynamically adjusts scheduling criteria and event placement based on changing conditions and user-defined parameters. The system can modify event times, dates, and assignments in real-time based on availability, priority levels, and optimization goals, transforming a static scheduling approach into a dynamic one that adapts to overbooking scenarios while maintaining flexibility.
Solution Approach 2:
The system allows users to define and modify multiple scheduling parameters including priority levels, optimization criteria, time windows, and event attributes. By enabling parameter changes and adjustments, the system can optimize advertisement placement while handling overbooking, resolving the contradiction between reliability and adaptability.
2Productivity
If the scheduling system optimizes placement based on multiple user-defined criteria, then the advertisement placement efficiency is improved, but the system complexity increases
Solution Approach 1:
The scheduling system segments optimization criteria into distinct, manageable components such as priority levels, time constraints, event types, and placement preferences. By dividing the complex optimization problem into separate criteria that can be independently defined and adjusted, the system improves placement efficiency while keeping the overall system complexity manageable through modular design.
3Ease of operation
If the system allows users to directly refine schedules and lock events, then the ease of operation is improved, but the automation level decreases
Solution Approach 1:
The system allows users to pre-define scheduling criteria, priority levels, and event constraints before the scheduling process begins. Users can also lock specific events in advance to prevent automatic modification. This preliminary configuration enables the automated system to operate within user-defined boundaries, maintaining both ease of operation and appropriate automation levels.
Data Source
AI summary
There is disclosed a computerized system and method for scheduling advertising events which utilizes a set of configurable instructions regarding booking an order which iterates through a series of broadening, configurable criteria and also implements a configurable scoring system for the purpose of comparing multiple Events to determine if one Event is more valuable than the other.