x10minds-ai

v1.0.0

Published

a month ago

Comprehensive AI module for e-commerce with recommendations, analytics, chatbot, and smart search

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mahipalhello

ai ecommerce recommendations chatbot analytics machine-learning search x10minds

X10Minds AI 🚀

Comprehensive AI module for e-commerce with recommendations, analytics, chatbot, and smart search capabilities.

✨ Features

🎯 Smart Recommendations - Personalized, similar, trending, and complementary product suggestions
📊 Sales Forecasting - Predict future revenue with ML-powered analytics
👥 Customer Insights - Behavioral analysis and segmentation
🤖 AI Chatbot - Natural language understanding with 24/7 support
🔍 Smart Search - Semantic search with typo correction and auto-complete

📦 Installation

npm install x10minds-ai

🚀 Quick Start

import { X10AI } from 'x10minds-ai';

// Initialize AI module
const ai = new X10AI({
  apiKey: process.env.ANY_AI_KEY,
  shopId: 'your-shop-id',
  features: ['recommendations', 'analytics', 'chatbot', 'search']
});

// Connect to your shop
await ai.connect(shop);

console.log('AI features enabled:', ai.getEnabledFeatures());

🎯 Recommendations

Get Personalized Recommendations

const recommendations = await ai.getRecommendations({
  userId: 'user_123',
  type: 'personalized',
  limit: 10,
  context: {
    currentProduct: 'prod_456',
    category: 'electronics'
  }
});

recommendations.forEach(rec => {
  console.log(`${rec.product.name} - Score: ${rec.score}`);
  console.log(`Reason: ${rec.reason}`);
});

Recommendation Types

1. Personalized - Based on user history

const personalized = await ai.getRecommendations({
  userId: 'user_123',
  type: 'personalized',
  limit: 10
});

2. Similar Items - Products related to current item

const similar = await ai.getRecommendations({
  type: 'similar',
  limit: 5,
  context: {
    currentProduct: 'prod_456'
  }
});

3. Trending - Popular products

const trending = await ai.getRecommendations({
  type: 'trending',
  limit: 10,
  context: {
    category: 'electronics'
  }
});

4. Complementary - Frequently bought together

const complementary = await ai.getRecommendations({
  type: 'complementary',
  limit: 5,
  context: {
    currentProduct: 'prod_456'
  }
});

Track User Interactions

// Track product views
ai.trackUserInteraction('user_123', 'prod_456', 'view');

// Track purchases
ai.trackUserInteraction('user_123', 'prod_456', 'purchase');

// Track cart additions
ai.trackUserInteraction('user_123', 'prod_456', 'cart');

📊 Analytics

Sales Forecasting

const forecast = await ai.predictSales({
  period: '30days',
  products: ['prod_001', 'prod_002'],
  includeSeasonality: true
});

console.log('Expected revenue:', forecast.revenue);
console.log('Expected units:', forecast.units);
console.log('Confidence:', forecast.confidence);

// Daily breakdown
forecast.breakdown.forEach(day => {
  console.log(`${day.date}: $${day.revenue} (${day.units} units)`);
});

Customer Insights

const insights = await ai.analyzeCustomers({
  segment: 'high-value',
  metrics: ['lifetime_value', 'churn_risk', 'next_purchase']
});

console.log('Total customers:', insights.totalCustomers);
console.log('Average value:', insights.averageValue);

insights.segments.forEach(segment => {
  console.log(`\n${segment.name}:`);
  console.log(`  Size: ${segment.size} customers`);
  console.log(`  Value: $${segment.value}`);
  console.log(`  Churn Risk: ${segment.churnRisk}`);
  console.log('  Actions:', segment.actions);
});

Real-time Analytics

const realtime = ai.getRealtimeAnalytics();

console.log('Revenue (24h):', realtime.revenue24h);
console.log('Units sold (24h):', realtime.units24h);
console.log('Average order value:', realtime.averageOrderValue);
console.log('Active customers:', realtime.activeCustomers);

🤖 AI Chatbot

Setup Chatbot

ai.setupChatbot({
  name: 'ShopBot',
  personality: 'friendly',
  languages: ['en', 'es', 'fr'],
  capabilities: [
    'product_search',
    'order_tracking',
    'faq',
    'recommendations'
  ],
  fallback: {
    enabled: true,
    handoffToHuman: true
  }
});

Handle Chat Messages

const context = {
  userId: 'user_123',
  conversationId: 'conv_456',
  history: []
};

const response = await ai.generateResponse(
  'I\'m looking for wireless headphones under $100',
  context
);

console.log('Bot:', response.text);
console.log('Confidence:', response.confidence);

if (response.products) {
  console.log('Suggested products:', response.products);
}

if (response.suggestions) {
  console.log('Quick replies:', response.suggestions);
}

if (response.requiresHuman) {
  console.log('⚠️ Requires human agent');
}

Chatbot Capabilities

Product Search - Find products by description
Order Tracking - Check order status
FAQ - Answer common questions
Recommendations - Suggest products
Natural Language - Understands context and intent

🔍 Smart Search

Setup Search

ai.setupSearch({
  fields: ['name', 'description', 'tags', 'category'],
  weights: {
    name: 2.0,
    description: 1.0,
    tags: 1.5,
    category: 1.0
  },
  features: {
    typoTolerance: true,
    synonyms: true,
    semanticSearch: true
  }
});

Perform Search

const results = await ai.search({
  query: 'wireles headfones', // Note the typos!
  filters: {
    category: 'electronics',
    priceRange: [50, 200],
    inStock: true
  },
  limit: 20
});

console.log(`Found ${results.total} products in ${results.processingTime}ms`);

results.hits.forEach(hit => {
  console.log(`${hit.product.name} - Score: ${hit.score}`);
  
  // Highlighted matches
  if (hit.highlights) {
    console.log('Matches:', hit.highlights);
  }
});

Auto-complete Suggestions

const suggestions = ai.getSearchSuggestions('head', 5);
console.log('Suggestions:', suggestions);
// Output: ['headphones', 'headset', 'headers', ...]

⚙️ Configuration

Advanced Configuration

ai.configure({
  recommendations: {
    algorithm: 'hybrid', // 'collaborative' | 'content' | 'hybrid'
    minScore: 0.7,
    maxResults: 10,
    updateFrequency: '1hour'
  },
  analytics: {
    dataRetention: '90days',
    realTimeUpdates: true,
    customMetrics: ['conversion_rate', 'avg_order_value']
  },
  chatbot: {
    responseTime: 'instant', // 'instant' | 'fast' | 'normal'
    confidenceThreshold: 0.8,
    learningMode: 'active' // 'active' | 'passive'
  }
});

📈 Performance Metrics

Get AI Metrics

const metrics = await ai.getMetrics({
  period: '7days',
  features: ['recommendations', 'search', 'chatbot']
});

// Recommendation metrics
console.log('Recommendation CTR:', metrics.recommendations.ctr);
console.log('Conversion rate:', metrics.recommendations.conversionRate);
console.log('Total served:', metrics.recommendations.totalServed);

// Search metrics
console.log('Search success rate:', metrics.search.successRate);
console.log('Average results:', metrics.search.averageResults);
console.log('Top queries:', metrics.search.topQueries);

// Chatbot metrics
console.log('Satisfaction:', metrics.chatbot.satisfaction);
console.log('Avg response time:', metrics.chatbot.averageResponseTime);
console.log('Total conversations:', metrics.chatbot.totalConversations);

🔄 Dynamic Updates

Add Products Dynamically

ai.addProducts([
  {
    id: 'prod_new',
    name: 'New Product',
    description: 'Amazing new product',
    price: 99.99,
    category: 'electronics',
    tags: ['new', 'trending']
  }
]);

Update User Data

ai.updateUser({
  id: 'user_123',
  email: '[email protected]',
  history: {
    views: ['prod_001', 'prod_002'],
    purchases: ['prod_001'],
    searches: ['laptop', 'headphones'],
    cart: ['prod_003']
  },
  preferences: {
    categories: ['electronics', 'books'],
    priceRange: [50, 500]
  }
});

🎨 Best Practices

1. Data Quality

Ensure clean, accurate product data for better AI performance:

const product = {
  id: 'prod_123',
  name: 'Clear, descriptive name',
  description: 'Detailed description with keywords',
  category: 'electronics',
  tags: ['wireless', 'bluetooth', 'premium'],
  price: 99.99,
  stock: 50
};

2. Regular Updates

Keep AI models trained with latest data:

// Track all user interactions
ai.trackUserInteraction(userId, productId, 'view');
ai.trackUserInteraction(userId, productId, 'purchase');

3. Monitor Performance

Track AI metrics and optimize:

const metrics = await ai.getMetrics({ period: '7days' });
if (metrics.recommendations.ctr < 0.1) {
  // Adjust recommendation algorithm
  ai.configure({
    recommendations: { algorithm: 'hybrid' }
  });
}

4. A/B Testing

Test different configurations:

// Test different recommendation types
const testA = await ai.getRecommendations({ type: 'personalized' });
const testB = await ai.getRecommendations({ type: 'trending' });

📚 API Reference

X10AI Class

Constructor

new X10AI(config: X10AIConfig)

Methods

connect(shop: any): Promise<void> - Connect AI to shop
getEnabledFeatures(): AIFeature[] - Get enabled features
getRecommendations(request: RecommendationRequest): Promise<Recommendation[]>
trackUserInteraction(userId: string, productId: string, event: string): void
predictSales(request: SalesForecastRequest): Promise<SalesForecast>
analyzeCustomers(request: CustomerAnalysisRequest): Promise<CustomerInsights>
setupChatbot(config: ChatbotConfig): void
generateResponse(message: string, context: ChatContext): Promise<ChatResponse>
setupSearch(config: SearchConfig): void
search(request: SearchRequest): Promise<SearchResult>
configure(config: AIConfiguration): void
getMetrics(request: MetricsRequest): Promise<AIMetrics>

🔐 Environment Variables

ANY_AI_KEY=your_api_key_here
ANY_SHOP_ID=your_shop_id_here

🤝 Integration with X10Minds Shop

import { X10Shop } from 'x10minds-shop';
import { X10AI } from 'x10minds-ai';

// Initialize shop
const shop = new X10Shop({
  name: 'My Store',
  currency: 'USD'
});

// Initialize AI
const ai = new X10AI({
  apiKey: process.env.ANY_AI_KEY,
  shopId: process.env.ANY_SHOP_ID
});

// Connect AI to shop
await ai.connect(shop);

// Now AI has access to all shop data!

📄 License

MIT © X10Minds

🆘 Support

🌟 Examples

Check out the /examples directory for complete working examples:

quick-start.js - Basic setup and usage
recommendations-demo.js - All recommendation types
analytics-demo.js - Sales forecasting and insights
chatbot-demo.js - AI chatbot implementation
search-demo.js - Smart search features
full-integration.js - Complete e-commerce integration

Made with ❤️ by X10Minds