Customizable Voice Messaging With AI Token Insertion
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Solution Overview
Problem
Existing marketing messages are often impersonal and poorly targeted, leading to low engagement and inefficiency, especially in formats like voice messages, which are difficult to customize effectively.
Innovation Solution
A customizable voice messaging platform using AI models to generate personalized voice messages with visual elements, integrating with customer data platforms to tailor content based on individual preferences and real-time data, and employing machine learning for dynamic token insertion and message optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If generic marketing messages are used, then message delivery is simple and cost-effective, but consumer engagement and relevance are low
Solution Approach 1:
The patent segments the message creation process into modular components: template selection, token insertion, audio generation, and visual element assembly. This allows personalized messages to be constructed from pre-defined segments, maintaining efficiency while enabling customization through selective combination of message parts rather than creating entirely unique messages for each recipient.
Solution Approach 2:
The system uses audio templates that can be copied and adapted for different recipients. Instead of generating entirely new audio content for each message, the platform copies base templates and inserts personalized tokens (names, offers, timing), significantly reducing the computational and temporal resources needed while maintaining high personalization levels.
2Adaptability or versatility
If highly personalized marketing messages are created, then consumer engagement and conversion rates improve, but time and cost requirements increase significantly
Solution Approach 1:
The system performs preliminary actions by pre-defining message templates, audio scripts, and visual elements before the actual message delivery. Token values (recipient names, personalized offers, timing information) are prepared in advance from customer data platforms, so that during message generation, only simple substitution operations are needed rather than creating entire personalized messages from scratch.
Solution Approach 2:
The patent changes key parameters of message templates dynamically based on recipient data. Instead of creating structurally different messages for each recipient, the system maintains consistent template structures and varies only specific parameters (token values such as name, offer amount, timing), enabling rapid personalization through parameter substitution rather than structural reconfiguration.
3Adaptability or versatility
If voice messages are personalized with dynamic content, then consumer engagement improves, but message complexity and processing requirements increase
Solution Approach 1:
The patent implements a universal message template system that serves multiple functions: it defines the structure for audio generation, guides visual element selection, and orchestrates token insertion. This single template framework handles diverse personalization requirements (different recipients, offers, timing) through a unified mechanism, reducing the need for separate processing systems for each message type.
Solution Approach 2:
The system introduces an intermediary layer (the template system with token placeholders) between the raw customer data and the final personalized message. This intermediary structure mediates the complexity by providing a standardized interface for data insertion, allowing the system to handle complex personalization requirements through simple template-filling operations rather than complex generation logic.
Data Source
AI summary
The present disclosure describes a customized voice messaging platform. The customized voice message placement can enhance engagement using personalized audio content. The platform can generate authentic-sounding voice messages using Al-driven processes, including text-to-speech (TTS) technology and audio concatenation, to create personalized audio content. The platform supports various delivery channels such as SMS, email, podcasts, and streaming services. The platform can incorporation visual elements like brand logos and animations into personalized messages. The platform can provide campaign creation functionality, enabling users to create campaigns deliver customized messages across multiple channels. The platform can provide message suggestions, automated testing, and other features. The platform can support rules for determining when to send messages and/or the content of messages.