OmniPulse | 65% Faster Escalation on a Real-Time CX Platform
Client / Industry
Multi-location enterprise / customer experience management
🛑 The Business Challenge
The client is an established multi-location enterprise with hundreds of customer touchpoints. Legacy feedback loops suffered from survey fatigue, delayed data aggregation, and gave frontline staff no way to act before dissatisfaction became public churn.
- 48-Hour Feedback Lag: traditional email surveys let critical dissatisfaction go unnoticed until negative reviews surfaced publicly
- Low Response Density: lengthy questionnaires suffered from sub-2% response rates, creating non-representative data
- Siloed Store Data: physical locations, contact centers, and digital portals lacked unified scoring for CSAT, NPS, and CES
- No Service Recovery: frontline teams had no automated mechanism to engage detractors before they left the store premises
Solution: A 3-Tier Real-Time CX Architecture
We engineered a proprietary, real-time Customer Experience Management ecosystem from concept to cloud deployment, built around omnichannel ingestion, NLP sentiment intelligence, and closed-loop triage.
- Omnichannel Micro-Surveys: Lightweight, mobile-first survey completions in under 10 seconds via dynamic QR codes, SMS webhooks, and e-commerce web modals
- Real-Time NLP Engine: Processes raw qualitative feedback to categorize operational themes and compute standardized CSAT/NPS/CES scores
- Closed-Loop Triage: Dispatches automated SMS and push alerts directly to on-duty managers within 60 seconds of a negative submission
- Executive Benchmark Scorecards: Region-by-region NPS/CSAT comparisons and operational ranking leaderboards for HQ
💻 Modern Technical Architecture
Frontend: React & TypeScript for the survey designer and manager action hub
Backend Core: Node.js & Express for omnichannel ingestion and orchestration
NLP Engine: Python (FastAPI) for real-time sentiment tagging and topic categorization
Data & Cache: PostgreSQL with Redis for sub-200ms real-time pipeline performance
Cloud Stack: AWS ECS & Docker for containerized, horizontally scalable deployment
Technology
📋 Project Technical Summary
| SEO Category | Technology Implemented |
|---|---|
| Industry | Multi-Location Enterprise / CXM & Analytics |
| Core Stack | React/TypeScript, Node.js/Express, Python (FastAPI) |
| Data & Cache | PostgreSQL, Redis |
| Infrastructure | AWS ECS, Docker |
| Engagement | 4+ years, ongoing engineering team |
| Key Outcome | 65% faster escalation turnaround, +34% retention |
Result
Escalation turnaround cut by 65% (from ~48 hours to under 15 minutes), with a 34% lift in customer retention
Business Impact
Reduced dissatisfaction resolution from a 48-hour lag to under 15 minutes, letting frontline teams recover at-risk customers before they left the premises
🚀 Project Results & Impact
⚡
65% Faster Escalation: Response turnaround cut from ~48 hours to under 15 minutes
📈
4.2x Feedback Volume: Frictionless sub-10-second surveys drove a 320% ingestion growth in representative sample sizes
🤝
34% Retention Lift: Automated frontline service recovery protected customer lifetime value
Discuss a Similar Project
Have a similar project in mind? Let's discuss your specific requirements.