Dynamic Audio Content Segmentation for Retail Streaming
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Solution Overview
Problem
Conventional audio advertising in retail locations is limited by daypart scheduling, which restricts flexibility and the number of advertisements that can be played, often resulting in cut-off content and a poor customer experience.
Innovation Solution
A system that allows retailers to customize audio content streaming at retail locations based on streaming parameters, segmenting the audio content into music, advertisement, messaging, and interrupt segments, and dynamically determining the content to stream based on specific parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If daypart scheduling is used to stream advertisements at specified times, then the scheduling structure is simple and predictable, but the flexibility and quantity of advertisements that can be played is limited
Solution Approach 1:
The patent transitions from static daypart scheduling to dynamic parameter-based scheduling. The system continuously monitors streaming parameters (ad completion status, content duration, timing) and adjusts the audio content selection in real-time to satisfy advertisement requirements, enabling flexible adaptation without complex pre-programmed schedules
Solution Approach 2:
The system changes from time-based scheduling parameters to advertisement-based parameters (quantity remaining, completion status, timing requirements). This parameter transformation allows the system to flexibly control advertisement delivery based on actual streaming state rather than fixed time slots, increasing adaptability while maintaining manageable system complexity
2Reliability
If daypart scheduling is used to ensure advertisements stream at specified times, then the scheduling reliability is maintained, but the audio content is often cut-off prematurely before completion
Solution Approach 1:
The system implements feedback loops that continuously monitor advertisement streaming status and audio content playback state. Based on this feedback, the system dynamically adjusts content selection to ensure advertisements complete reliably while maintaining full audio content playback, satisfying both reliability and experience requirements
Solution Approach 2:
The system performs preliminary checks of audio content duration and advertisement requirements before selecting content to stream. By pre-evaluating whether content will complete before the next scheduled advertisement, the system prevents premature cut-offs while ensuring advertisement timing reliability is maintained
3Productivity
If daypart scheduling is used to allocate fixed time slots for advertisements, then the scheduling structure is simple to implement, but the quantity of advertisements that can be played each day is limited
Solution Approach 1:
The system dynamically determines advertisement quantity and timing based on real-time streaming parameters rather than fixed daypart allocations. This allows the system to maximize advertisement delivery by adapting to available time slots and content durations, increasing productivity without requiring complex manual scheduling
Solution Approach 2:
The system automatically adjusts advertisement streaming based on monitored parameters without requiring external scheduling intervention. The streaming system self-regulates to maximize advertisement quantity by selecting appropriate content and timing based on current state, increasing productivity while keeping system complexity manageable through automated decision-making
4Adaptability or versatility
If daypart scheduling is used to reserve set time periods for advertisements, then the scheduling predictability is maintained, but the ability to stream messages and public service announcements is hindered
Solution Approach 1:
The parameter-based scheduling system serves multiple content types (advertisements, messages, public service announcements) through a unified framework. By monitoring general streaming parameters rather than maintaining separate schedules for each content type, the system achieves high adaptability to stream diverse content while efficiently utilizing available time without loss
Data Source
AI summary
Embodiments of the present disclosure relate to segmenting the overall audio content streaming baseline into music content item segments and advertisement segment based on advertisement streaming parameters. Each music content item is dynamically determined to be streamed based on music content item parameters associated with the music content item segment. The music content item parameters are dynamically adjusted as each music content item is streamed during each music content item segment based on a duration of time remaining in the music content item segment. Each advertisement to stream is determined based on advertisement parameters. The advertisement parameters are dynamically adjusted as each advertisement is streamed during each advertisement segment based on a remaining quantity of advertisements remaining to be streamed. Each music content item is streamed as dynamically determined during each music content item segment and each advertisement is dynamically streamed during each advertisement segment.