Building an AI-Powered Customer Sentiment Analysis Tool for SMBs

Source: Dev.to

The Problem

Every business wants to understand their customers better. But here’s the reality:

• Enterprise tools cost $20,000+/year (Medallia, Qualtrics)
• Manual analysis is slow and inconsistent
• SMBs get left behind

Customer Success Managers spend hours each week manually reading through support tickets trying to spot trends. Marketing Managers can’t quantify customer sentiment for leadership reports. Product Managers struggle to prioritize features based on actual feedback.

The Solution: SentimentPulse

I built SentimentPulse – an AI‑powered customer sentiment analysis tool designed specifically for SMBs.

Key Features

• Multi-Channel Aggregation – Connect reviews, support tickets, and social media in one place.
• Real-Time Sentiment Analysis – AI‑powered NLP detects sentiment and emotions like frustration, satisfaction, urgency.
• Trend Detection – Automatically identify emerging issues and recurring complaints.
• Actionable Alerts – Get notified instantly when negative sentiment spikes.
• 5‑Minute Setup – No coding required, connect via OAuth.

Pricing

Starting at just $49/month – 10× more affordable than enterprise solutions.

Tech Stack

• Next.js 14 with App Router
• TypeScript + Tailwind CSS
• Neon PostgreSQL + Drizzle ORM
• OpenAI for sentiment analysis
• Stripe for payments

Check It Out

Try it free:

I’d love your feedback!