Optimizing VOC Analysis with Sprinklr and AI Integration
Learn how to use Sprinklr and AI-driven workflows to analyze customer feedback, track product quality issues, and optimize Voice of Customer (VOC) insights.
Sprinklr Tool & AI Analysis Workflow
Optimizing VOC Insights for S25 Flagship & Quality Assurance
Dashboard Architecture
Social Media Dashboard
Monitoring broad public sentiment, brand mentions, and viral feedback across major social platforms.
Live Chat Dashboard
Focused analysis of direct customer interactions via WhatsApp and Sprinklr chat support channels.
Search Strategy & Methodology
Event-Based Search
Triggered after product unpacking events. Focused on flagship models (e.g., S25 series) to capture immediate market reaction.
Issue-Specific Search
Deep dive into specific VOC trends or technical issues (e.g., 'Arabic numbers' display issues) based on emerging patterns.
Analytical Workflow Process
Query Execution
Filter Negative Feedback
AI Processing (Filtering)
Quality Issue Identification
AI Tool Evolution & Roadmap
Current Solution
Custom tool developed by Operation Support P / MENA Office (Wasim). Successfully bridging the gap for immediate analysis.
Future Solution (Timeline: 2-3 Months)
Official Enterprise AI Tool to be provided by the Central AI & Automation Team. Meetings conducted to align requirements.
Operational Frequency
The analysis workflow is designed for flexible execution intervals based on volume and urgency.
Daily Monitoring
Weekly Reporting
Monthly Deep Dive
Case Study: S25 Series Analysis
Models Analyzed: S25, S25+, and S25 Ultra
Observation Period: Past 2 Months
Special Focus: Arabic Numbers Issue (Comparison Period: Full Year 2025)
Negative Feedback Volume
Distribution of negative mentions across the S25 series during the 2-month observation window.
Key Pain Points Identification
Analysis of negative feedback reveals that Camera and Battery performance are the primary drivers of customer dissatisfaction.
Conclusion & Next Steps
Continue daily monitoring of S25 series feedback using current interim tools.
Report specific Camera and Battery technical details to Quality Assurance teams.
Finalize integration with the Automation Team's AI tool within the next 3 months.
- sprinklr
- ai-analysis
- voice-of-customer
- customer-feedback
- sentiment-analysis
- data-workflow
- quality-assurance