A project to transform customer feedback into valuable business assets
While reviews and surveys exist, many companies are not fully utilizing them.
Mindware Research Institute will introduce VOC (Voice of Customer) analysis AI in a way that leads to informed business decisions.
Project Overview
Phase 1. Current Situation Assessment
- Identify target products and brands
- Identify current challenges
- Review usage data
- Set performance targets
Examples:
- We want to reduce the churn rate.
- We want to learn about areas for improvement from reviews.
- We want to know how we differ from our competitors.
Phase 2. Data Collection and Processing
Target data:
- EC Reviews
- Free-response questionnaires
- Inquiry history
- SNS posts
- Store comments
Implementation details:
- Data integration
- Duplicate removal
- Personal information protection
- Text formatting
Phase 3. Building an AI Analysis Model
Implementation details:
- Emotional analysis
- Identifying points of dissatisfaction
- Theme classification
- Competitor comparison
- Identifying latent needs
- Dashboard construction
Distillation models can be implemented as needed, enabling high-speed and low-cost operation.
Phase 4. Report and PoC Delivery
Delivery example:
- Major Complaint Ranking
- Product Improvement Themes
- Competitor Comparison Report
- Next-Generation Product Proposal
- Summary Document for Management
Phase 5. Production Deployment
- Internal viewing system
- Regular automated analysis
- Automatic monthly report generation
- API integration
- BI integration
Example Schedule
Small-scale PoC
4-6 weeks
Production deployment
2-4 months
Pricing Image
PoC analysis
$2,000- $5,500
Production deployment
$6,700 ~
Continuous analysis and operation
Monthly subscription available
Benefits of implementation
- Early detection of customer churn factors
- Improving the reproducibility of best-selling products
- Improving the accuracy of product development
- Breaking free from reliance on on-site intuition
- Automating management meeting materials
Please contact us first to discuss whether your company’s data can be used for analysis.