Cuspulse: Customer Intelligence & Retention Engine
Built a real-time customer intelligence platform that captures anonymous voice feedback at the point of interaction, analyzes sentiment with AI, and delivers instant alerts, giving SMEs the data they need to retain customers before they leave.
Cuspulse
6 months
Lead Full Stack Engineer
SMEs Are Losing Customers Silently
96% of unhappy customers never complain, they simply don't return. For small and medium businesses, this silent churn is devastating: acquiring a new customer costs 5–7× more than retaining an existing one, yet most SMEs have no mechanism to capture real-time customer sentiment before it's too late.
Traditional review platforms only surface feedback days or weeks after a bad experience. By then, the customer has already churned and potentially shared their dissatisfaction publicly. Cuspulse was built to close this gap, capturing honest feedback at the exact moment of interaction and converting it into actionable intelligence within seconds.
- No real-time visibility into customer satisfaction, businesses discovered problems only after public reviews
- Existing feedback tools required app downloads or long surveys, resulting in near-zero completion rates
- One unresolved complaint could spiral into public brand damage before the team was even aware
- Multi-outlet businesses had no unified view across locations, each outlet was a blind spot
- Without data, every retention strategy was a gut-feel guess rather than evidence-based action
Architecture: Real-Time Intelligence at Every Touchpoint
The core product constraint was simplicity on the customer side and power on the business side. A customer needed to be able to submit voice feedback in under 10 seconds, no app, no login, no friction. That meant the entire feedback collection flow had to work via a single QR code or shareable link, rendering a lightweight, anonymous web experience.
On the backend, every feedback submission triggered a real-time AI pipeline: voice-to-text transcription, sentiment classification (positive/neutral/negative), issue detection, and action recommendation, all before an alert was dispatched. NestJS event emitters decoupled the ingestion from the processing pipeline, so feedback submission remained fast regardless of AI processing time.
For multi-outlet businesses, a tenant-scoped data model allowed a single dashboard to aggregate intelligence across dozens of locations with per-outlet drill-down. Prisma handled the relational data cleanly, outlets, channels, responses, and sentiment trends, while WebSockets kept the dashboard live without polling.
Key technical decisions
Anonymity removes the fear of judgment, producing brutally honest insights customers would never share publicly. Voice input reduced completion time to under 10 seconds, dramatically outperforming text-based surveys on response rates.
Raw feedback was transcribed and classified in real time using NLP models. The system detected recurring issues, mapped sentiment trends, and generated recommended actions, turning qualitative voice into structured, queryable intelligence.
Business owners don't sit in dashboards. Push alerts via WhatsApp ensured critical issues reached the right person within seconds of submission, enabling real-time service recovery before a complaint went public.
Happy customers were automatically prompted to share their experience on Google, Instagram, or TikTok, turning positive sentiment into public brand amplification while negative feedback was captured privately for internal resolution.
Outcome
Cuspulse launched as a complete customer intelligence platform, taking SMEs from zero real-time visibility to full-spectrum feedback intelligence. Businesses could identify at-risk customers, resolve issues privately, and redirect their happiest advocates to amplify their brand, all from a single dashboard.
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