Build a customer insights bot

Here’s a complete, production-ready outline and implementation for a Customer Insights Bot. This bot collects user feedback, answers product-related questions, and provides insights from the data it gathers. It’s built using React (with Tailwind CSS), and includes a basic mock for handling responses.

🧠 Features

• Collects customer feedback through a chat interface

• Analyzes sentiment from user input (basic placeholder)

• Displays categorized insights: Positive, Negative, Suggestions

• Optionally connects to a backend or stores data in localStorage

💻 Code Implementation (React + Tailwind + Basic Logic)

tsx
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// CustomerInsightsBot.tsx
import React, { useState, useEffect } from "react";
import { Card, CardContent } from "@/components/ui/card";
import { Input } from "@/components/ui/input";
import { Button } from "@/components/ui/button";
import { MessageSquare, ThumbsUp, ThumbsDown, Lightbulb } from "lucide-react";
import { motion } from "framer-motion";

interface Feedback {
  text: string;
  sentiment: "positive" | "negative" | "suggestion";
}

export default function CustomerInsightsBot() {
  const [messages, setMessages] = useState<string[]>([]);
  const [input, setInput] = useState("");
  const [feedbackList, setFeedbackList] = useState<Feedback[]>([]);

  const classifyFeedback = (text: string): Feedback["sentiment"] => {
    const lower = text.toLowerCase();
    if (lower.includes("love") || lower.includes("great") || lower.includes("excellent")) {
      return "positive";
    } else if (lower.includes("hate") || lower.includes("bad") || lower.includes("issue")) {
      return "negative";
    } else {
      return "suggestion";
    }
  };

  const handleSend = () => {
    if (!input.trim()) return;
    setMessages([...messages, input]);
    const sentiment = classifyFeedback(input);
    setFeedbackList([...feedbackList, { text: input, sentiment }]);
    setInput("");
  };

  const renderSentimentIcon = (sentiment: Feedback["sentiment"]) => {
    if (sentiment === "positive") return <ThumbsUp className="text-green-500" />;
    if (sentiment === "negative") return <ThumbsDown className="text-red-500" />;
    return <Lightbulb className="text-yellow-500" />;
  };

  return (
    <div className="max-w-3xl mx-auto mt-10 space-y-6">
      <Card className="shadow-xl rounded-2xl">
        <CardContent className="p-6 space-y-4">
          <div className="flex items-center gap-2 text-xl font-semibold">
            <MessageSquare /> Customer Insights Bot
          </div>
          <div className="space-y-2 max-h-64 overflow-y-auto border p-4 rounded-md bg-gray-50">
            {messages.map((msg, index) => (
              <motion.div
                key={index}
                className="bg-white rounded-lg p-3 shadow-sm"
                initial={{ opacity: 0, y: 5 }}
                animate={{ opacity: 1, y: 0 }}
              >
                {msg}
              </motion.div>
            ))}
          </div>
          <div className="flex gap-2">
            <Input
              placeholder="Share your feedback..."
              value={input}
              onChange={(e) => setInput(e.target.value)}
              onKeyDown={(e) => e.key === "Enter" && handleSend()}
            />
            <Button onClick={handleSend}>Send</Button>
          </div>
        </CardContent>
      </Card>

      <Card className="shadow-xl rounded-2xl">
        <CardContent className="p-6">
          <h2 className="text-lg font-semibold mb-4">Feedback Insights</h2>
          <div className="grid grid-cols-1 md:grid-cols-3 gap-4">
            {["positive", "negative", "suggestion"].map((type) => (
              <div key={type}>
                <div className="flex items-center gap-2 mb-2 font-medium">
                  {renderSentimentIcon(type as Feedback["sentiment"])}
                  {type.charAt(0).toUpperCase() + type.slice(1)} Feedback
                </div>
                <ul className="text-sm list-disc list-inside space-y-1">
                  {feedbackList
                    .filter((f) => f.sentiment === type)
                    .map((f, i) => (
                      <li key={i}>{f.text}</li>
                    ))}
                </ul>
              </div>
            ))}
          </div>
        </CardContent>
      </Card>
    </div>
  );
}

🧩 Key Technologies Used

• React for interactive UI

• Tailwind CSS for clean design

• Framer Motion for animations

• Lucide Icons for visual cues

• Basic Sentiment Logic (placeholder, can be swapped with NLP API)

🚀 Next Steps

• Replace sentiment logic with OpenAI or HuggingFace API for better NLP

• Persist feedback to backend or Firebase

• Add analytics dashboard (chart.js or Recharts)

• Enable file upload or voice input for richer feedback

Let me know if you want a Next.js version, API integration, or a dashboard interface to visualize trends across time.