Minedia's AI Data Lab. (HQ: Minato-ku, Tokyo; CEO: Daiya Suzuki) has launched its 'Customer Service Reform Solution,' the second application of its 'AI Conversation Analysis Module.' This solution analyzes conversation data from interactions to derive key success factors and improvement actions, helping to elevate the overall service quality of retail stores and outlets.

Following the first application, the 'Sales Reform Solution' launched in April 2026, this solution is tailored for B2C in-person service environments.

Challenges addressed by this solution: - Identifying structural differences between top-performing and average staff/stores. - Pinpointing exactly where performance gaps emerge within the service process. - Determining effective responses based on customer types. - Quantitatively diagnosing the efficacy of current service manuals. - Scaling best practices from top performers across the organization.

Key features: 1. Dual-Axis Analysis (Individual/Store): Provides distinct prescriptions for individual skills and store operations. 2. Quantitative Manual Diagnosis: Visualizes which manual clauses are effective and which have become mere formalities. 3. Expert Operations: Provides consistent support from recording design to privacy compliance, leveraging extensive expertise in qualitative research.

Deliverables: - Full-Scale Analysis Report: Statistical evidence and projected impact of improvement actions. - Individual Feedback Report: Visualizes gaps compared to top performers, ideal for 1-on-1 coaching sessions. - IF-THEN Dictionary: A structured, practical guide organizing successful response patterns based on customer interactions.

FACT BOX

  • Source: PR TIMES
  • Category: New Product