Minedia and Deloitte Tohmatsu Conduct PoC for AI-Driven Consumer Research Efficiency

Minedia Inc. (Headquarters: Minato-ku, Tokyo; CEO: Daiya Suzuki) has collaborated with Deloitte Tohmatsu LLC (Headquarters: Chiyoda-ku, Tokyo; Representative Executive Officer: Shingo Kayama) to conduct a Proof of Concept (PoC) to automate key processes in consumer research (quantitative research) at Monitor Deloitte. As a result, a reduction in man-hours was confirmed throughout the process from survey design to report creation. Additionally, it was verified that the AI could directly output analysis reports and presentation materials in a predefined format, reaching a quality level suitable for practical application. In the consulting industry, consumer research is a critical task for strategy development. However, the process from survey design to analysis and report creation typically relies heavily on the expertise and labor of professional researchers and consultants. In response, Monitor Deloitte, which handles strategic consulting at Deloitte Tohmatsu, identified the efficiency of consumer research as a key transformation theme to provide higher value-added services while reducing consultant workload. Consequently, the collaboration between Monitor Deloitte, which has strengths in building analytical methodologies, and Minedia, which has expertise in consumer research and AI implementation, was initiated to fundamentally transform traditional consumer research tasks. In this PoC, an approach was adopted where survey questionnaires and PPT slides were defined as 'templates' and incorporated into the AI to automate each step from design to analysis and reporting. The feature is that the AI does not just generate text but executes professional analytical methods such as market size estimation and purchase funnel analysis, automatically outputting materials in a predefined format. The verification was conducted using actual consumer research themes, covering design, analysis, and reporting. Comparing the actual time spent by staff with the time taken using the AI prepared for this PoC, a reduction in man-hours was confirmed in a process that previously took about a month. Notably, the PPT slides output by the AI were confirmed to be of a quality level suitable for practical application. This PoC is characterized by covering the entire process from design to PPT creation, not just individual steps. Based on this verification, discussions for practical application are underway.