> ## Documentation Index
> Fetch the complete documentation index at: https://docs.trendteller.com.br/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Insights

> Understanding AI-generated forecasts and recommendations

## Overview

Trendteller leverages OpenAI GPT-4 and Google Gemini AI to generate actionable insights, forecasts, and recommendations from your e-commerce data.

## Types of AI Insights

<CardGroup cols={2}>
  <Card title="Forecasts" icon="chart-line">
    Predictive analytics for future performance
  </Card>

  <Card title="Trend Detection" icon="magnifying-glass-chart">
    Emerging patterns and market shifts
  </Card>

  <Card title="Anomaly Detection" icon="triangle-exclamation">
    Unusual patterns requiring attention
  </Card>

  <Card title="Recommendations" icon="lightbulb">
    Action-oriented business suggestions
  </Card>
</CardGroup>

## Sales Forecasting

### How It Works

<Steps>
  <Step title="Data Collection">
    AI analyzes 90+ days of historical sales data including:

    * Daily revenue and order counts
    * Seasonal patterns
    * Day-of-week effects
    * Marketing campaign impacts
  </Step>

  <Step title="Model Training">
    Multiple forecasting models are trained:

    * Time series analysis (ARIMA, Prophet)
    * Machine learning (Random Forest, XGBoost)
    * Deep learning (LSTM neural networks)
  </Step>

  <Step title="Ensemble Prediction">
    Models are combined for more accurate predictions:

    * Weighted average based on historical accuracy
    * Confidence intervals calculated
    * Best-case and worst-case scenarios
  </Step>

  <Step title="AI Narration">
    GPT-4 generates natural language explanation:

    * Key drivers of the forecast
    * Risk factors and opportunities
    * Recommended actions
  </Step>
</Steps>

### Reading Forecasts

Forecast displays include:

```
7-Day Revenue Forecast:
📈 $125,000 (±$15,000)

Confidence: 85%
Expected range: $110K - $140K

Key Factors:
✓ Strong weekend performance expected
✓ New product launch impact
⚠ Holiday period beginning (higher uncertainty)

Recommendation:
Consider increasing inventory for top 10 products
by 20% to meet anticipated demand.
```

<Tip>
  Forecasts are regenerated daily with the latest data for maximum accuracy.
</Tip>

## Trend Detection

### Product Trends

AI identifies rising and declining products:

<Tabs>
  <Tab title="Emerging Trends">
    **Products gaining momentum:**

    * Week-over-week growth acceleration
    * Increasing search frequency
    * Rising conversion rates
    * Social media mention upticks

    **AI Insight Example:**
    "Product X shows 45% WoW growth, outpacing category average by 3x. Search volume increased 120%. Recommend increasing inventory and marketing spend."
  </Tab>

  <Tab title="Declining Trends">
    **Products losing traction:**

    * Sustained sales decline
    * Inventory accumulation
    * Increasing return rates
    * Competitor alternatives

    **AI Insight Example:**
    "Product Y sales down 30% over 3 weeks. Competitor Z launched similar product at 15% lower price. Consider promotional pricing or product refresh."
  </Tab>
</Tabs>

### Customer Behavior Trends

AI detects shifts in customer behavior:

* **Purchase Frequency Changes**: Customers buying more/less often
* **Basket Size Shifts**: Average items per order changing
* **Category Preferences**: Shifting product category interests
* **Price Sensitivity**: Changes in discount response rates

## Anomaly Detection

### Unusual Patterns

AI automatically flags unusual patterns:

<AccordionGroup>
  <Accordion title="Sales Anomalies" icon="chart-line">
    **Detected anomalies:**

    * Unexpected revenue spikes or drops (>2 standard deviations)
    * Order volume irregularities
    * Sudden AOV changes
    * Geographic concentration shifts

    **Alert Example:**
    "🚨 Revenue drop detected: Today's revenue $8K vs $15K expected (-47%). Potential causes: Payment gateway issues, website downtime, or inventory stock-outs."
  </Accordion>

  <Accordion title="Inventory Anomalies" icon="boxes-stacked">
    **Stock issues:**

    * Faster-than-expected depletion
    * Unusual stock accumulation
    * Inter-brand inventory imbalances
    * Supplier delay impacts

    **Alert Example:**
    "⚠️ Product ABC stock depleting 3x faster than forecast. Current: 45 units. Days until stock-out: 3. Recommend emergency reorder."
  </Accordion>

  <Accordion title="Customer Anomalies" icon="users">
    **Behavioral changes:**

    * Sudden churn increase
    * Unusual return rate spikes
    * Geographic demand shifts
    * Channel preference changes

    **Alert Example:**
    "📊 Return rate increased from 8% to 18% for Product XYZ. Common reason: 'Size too small'. Recommend updating size guide."
  </Accordion>
</AccordionGroup>

## AI Recommendations

### Types of Recommendations

<CardGroup cols={2}>
  <Card title="Inventory" icon="warehouse">
    * Restocking priorities
    * Quantity recommendations
    * Transfer between brands
    * Slow-moving item actions
  </Card>

  <Card title="Pricing" icon="dollar-sign">
    * Competitive price adjustments
    * Promotional opportunities
    * Dynamic pricing suggestions
    * Margin optimization
  </Card>

  <Card title="Marketing" icon="bullhorn">
    * Target customer segments
    * Product bundling ideas
    * Campaign timing
    * Channel allocation
  </Card>

  <Card title="Product" icon="box">
    * New product opportunities
    * Product line extensions
    * SKU rationalization
    * Category expansion
  </Card>
</CardGroup>

### Prioritized Action List

AI generates a prioritized list of recommended actions:

```
Today's Top Recommendations:

1. [HIGH] Restock Product A (3 days until stock-out)
   Impact: $12K potential lost revenue
   Action: Order 200 units

2. [MEDIUM] Price adjustment for Product B
   Impact: +15% margin improvement
   Action: Increase price by $5 (still competitive)

3. [LOW] Marketing campaign for Category C
   Impact: +8% category revenue
   Action: Run 3-day promotional campaign
```

## Customizing AI Insights

### Insight Preferences

Configure what insights you want to see:

* **Frequency**: Daily, weekly, or real-time
* **Channels**: Dashboard, email, Slack, API
* **Thresholds**: Anomaly sensitivity levels
* **Focus Areas**: Prioritize certain metrics or categories

### AI Training Feedback

Improve AI accuracy by providing feedback:

* ✅ Mark helpful insights
* ❌ Flag incorrect predictions
* 📝 Add context for better understanding
* 🎯 Rate recommendation effectiveness

<Info>
  Your feedback helps train the AI models specifically for your business patterns, improving accuracy over time.
</Info>

## Next Steps

<CardGroup cols={2}>
  <Card title="Dashboard Guide" icon="chart-line" href="/guides/dashboard">
    View AI insights in the dashboard
  </Card>

  <Card title="AI Workflows" icon="robot" href="/components/ai-workflows">
    Learn how AI insights are generated
  </Card>

  <Card title="API Reference" icon="code" href="/api-reference/endpoints/forecasts">
    Access forecasts programmatically
  </Card>

  <Card title="Data Exports" icon="download" href="/guides/data-exports">
    Export AI insights and forecasts
  </Card>
</CardGroup>