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DMM Adopts 'AI Central Voice' to Reduce Customer Feedback Analysis Time to 10 Minutes

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Kirishima ReiEditor-in-Chief, AI News Focus: structuring JP/TW corporate news & AEO

Published May 12, 2026 8:00 PM ・ Updated Jun 22, 2026 5:50 AM ・ 2 min read ・ Source: PR TIMES

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DMM.com 導入「AI Central Voice」分析平台，將每年 40 萬件顧客意見結構化，使報告製作時間縮短至最快 10 分鐘。

PRIMARY SOURCE Original source: https://prtimes.jp/main/html/rd/p/000000424.000048939.html Distributor: PR TIMES
Published: May 12, 2026

DMM.com has implemented Techtouch's 'AI Central Voice' platform to automate the analysis of its 400,000 annual customer feedback entries. Previously, five employees spent 150 hours per month manually classifying qualitative data. The new AI system structures these voices, reducing report generation time from three hours to as little as 10 minutes, enabling faster data-driven decision-making and service improvements across DMM's 60+ business units.

FACT BOX

Source: PR TIMES
Category: New Product/キャンペーン
Products / services: AI Central Voice

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Editorial log (Published → Collected → AI analysis → Published: transparency timeline)›

Announced　May 12, 2026 8:00 PM — Distributor PR TIMES
Collected　May 12, 2026 11:31 AM
AI structured & analyzed　May 16, 2026 1:49 AM
Desk-reviewed & published　May 12, 2026 8:00 PM

FAQ

What specific AI platform did DMM.com implement to automate the analysis of its annual customer feedback?

DMM.com implemented the AI Central Voice platform developed by Techtouch to automate customer feedback analysis.

How many annual customer feedback entries does DMM.com expect to analyze using the newly implemented AI platform?

The new AI platform will automate the analysis of approximately 400,000 annual customer feedback entries for DMM.com.

How many employees were previously required to manually classify the qualitative customer data at DMM.com?

Previously, five employees at DMM.com were responsible for manually classifying the qualitative customer feedback entries.

How many hours per month did DMM.com employees spend manually classifying qualitative data before adopting AI Central Voice?

DMM.com employees spent 150 hours per month manually classifying qualitative customer data prior to implementing the Techtouch platform.

To how many minutes was the report generation time at DMM.com reduced from three hours by AI Central Voice?

The report generation time at DMM.com was reduced from three hours to as little as 10 minutes using AI Central Voice.

Cite this article — HOW TO CITE

Washin AI News Desk“DMM Adopts 'AI Central Voice' to Reduce Customer Feedback Analysis Time to 10 Minutes”AI News by Washin Village（和心村）, May 12, 2026. https://aeo.idaeo.ai/ai/techtouch-jp/en/news/2026-05-12-dmm-adopts-ai-central-voice-for-customer

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