Minedia Launches "Sales Reform Solution" to Statistically Decipher "Winning Patterns" from Meeting Audio Analysis

Minedia's AI Data Lab has developed the "AI Conversation Analysis Module," which integrates meeting audio with outcome data to identify success factors. Its first application, the "Sales Reform Solution," helps organizations implement data-driven sales strategies by analyzing top performers' non-verbal cues and speech patterns.
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  • 📰 Published: April 28, 2026 at 19:00
  • 🔍 Collected: April 28, 2026 at 10:31
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Minedia Inc. (Headquarters: Minato-ku, Tokyo; CEO: Hiroya Suzuki; hereinafter "Minedia") through its AI Data Lab, has developed and launched the "AI Conversation Analysis Module" (hereinafter "AI Module"). This engine analyzes conversation data from sales meetings, customer service, and conferences using AI, and derives action factors and improvement steps by integrating it with other data.

As the first application of this module, the company has developed the "Sales Reform Solution" to statistically clarify behavioral factors that lead to success in sales organizations.

### Overview of the AI Conversation Analysis Module
The AI Module is an AI engine that derives suggestions and actions directly linked to organizational outcomes through three processes:
1. **High-Precision Analysis of Conversation Data**: Analyzes non-verbal elements such as transcription, speaker separation, intonation, pauses, and speaking tempo in conversation audio.
2. **Integrated Analysis with Other Data**: Statistically matches conversation analysis results with customer attributes, purchasing behavior, and outcome data (contracts, losses, order amounts, etc.) to clarify the causal structure between actions and outcomes.
3. **Derivation of Suggestions and Actions**: Structures analysis results into a form that both management and the field can utilize, outputting specific actions that can be reflected in organizational systems.

While conventional voice analysis tools focus on "visualizing the current situation" through recording, transcription, and dashboards, this module is designed as a different category of product that targets decision-making and organizational transformation beyond visualization.

### Features of the AI Conversation Analysis Module
1. **High-Precision Non-Verbal Analysis**: Based on years of research in online qualitative research, the technology for speaker separation and intonation analysis is fundamentally different from general-purpose speech recognition tools.
2. **Consistency from Issue Extraction to Strategy Presentation**: Leveraging expertise in analyzing unique online behavioral and EC purchase data, Minedia provides consistent strategy suggestions on "what to do to change outcomes."
3. **Output Designed for Organizational Implementation**: Analysis results are designed to be continuously reflected in systems such as manuals, training, KPIs, and evaluation systems, rather than ending with a single report.

### First Application: Sales Reform Solution
This solution addresses challenges where sales manuals and KPIs often depend on intuition or individual judgment. It answers structural questions such as:
- What is the structural difference between successful and unsuccessful sales?
- In which phase of the meeting is the outcome determined?
- What phrases are effective or counterproductive in each phase?
- How to horizontally expand the expertise of top sales performers across the organization?

By providing an "Evidence Report" that statistically identifies winning behaviors and a "Personal Feedback Report" for 1-on-1 sessions, the solution enables organizations to make decisions based on statistical evidence rather than experience.