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AI Insights ​

Get AI-powered analytics and insights about your platform performance.

AI Insights

Route ​

/admin/ai-insights

Overview ​

AI Insights uses artificial intelligence to analyze your platform data and provide actionable recommendations, trend analysis, and predictive insights.

Dashboard ​

AI Dashboard

Service Status ​

  • AI Service Status - Online/Offline indicator
  • Last Analysis - When insights were last generated
  • Analysis Credits - Remaining AI analysis credits

Configuration Options ​

Time Period Selection ​

Choose the data range for analysis:

  • Daily - Last 24 hours
  • Weekly - Last 7 days
  • Monthly - Last 30 days
  • Quarterly - Last 90 days
  • Yearly - Last 365 days
  • Custom Range - Specify dates

Analysis Depth ​

Select analysis thoroughness:

  • Standard Analysis:

    • Faster processing
    • Key insights only
    • Basic recommendations
    • Lower credit cost

  • Deep Analysis:

    • Comprehensive review
    • Detailed recommendations
    • Predictive modeling
    • Trend forecasting
    • Higher credit cost

Insight Categories ​

Performance Insights ​

Performance Insights

Analyze platform performance:

  • Revenue Trends - Identify growth patterns
  • Conversion Rates - Optimization opportunities
  • User Engagement - Activity patterns
  • Competition Performance - Success metrics

User Behavior ​

User Behavior

Understand your users:

  • Purchase Patterns - When and what users buy
  • Engagement Times - Peak activity periods
  • User Segments - Behavioral clustering
  • Churn Risk - Users likely to disengage

Competition Analysis ​

Competition Analysis

Optimize your competitions:

  • Optimal Pricing - Suggested ticket prices
  • Duration Analysis - Best competition lengths
  • Prize Preferences - What prizes attract entries
  • Timing Recommendations - When to launch

Predictive Insights ​

Predictive Insights

Future forecasting:

  • Revenue Projections - Expected earnings
  • User Growth - Predicted user acquisition
  • Competition Success - Entry predictions
  • Seasonal Trends - Upcoming patterns

Report Generation ​

Creating a Report ​

  1. Navigate to /admin/ai-insights
  2. Configure time period
  3. Select analysis depth
  4. Click "Generate Insights"
  5. Wait for AI processing (30s - 2min)
  6. Review generated insights
  7. Export if needed

Report Contents ​

Each report includes:

  • Executive Summary - High-level overview
  • Key Findings - Most important insights
  • Detailed Analysis - In-depth review
  • Recommendations - Actionable suggestions
  • Data Visualizations - Charts and graphs
  • Trend Analysis - Pattern identification

Export Options ​

Export Options

Download reports in multiple formats:

  • PDF - Formatted report document
  • CSV - Raw data for analysis
  • JSON - Structured data export
  • PowerPoint - Presentation slides

Recommendations ​

Acting on Insights ​

The AI provides actionable recommendations:

Pricing Optimization ​

  • Suggested ticket price adjustments
  • Bundle recommendations
  • Discount strategies

Marketing Timing ​

  • Best times to send campaigns
  • Optimal launch windows
  • Seasonal opportunities

User Retention ​

  • At-risk user identification
  • Re-engagement strategies
  • Loyalty program suggestions

Competition Strategy ​

  • Prize selection guidance
  • Duration recommendations
  • Timing optimization

Integration ​

Automated Reports ​

Schedule regular AI analysis:

  1. Navigate to Settings
  2. Enable automated insights
  3. Choose frequency (daily, weekly, monthly)
  4. Select recipients for reports
  5. Configure delivery method (email, dashboard)

Alert Triggers ​

Set up alerts for:

  • Significant trend changes
  • Performance anomalies
  • Opportunity detection
  • Risk identification

Understanding AI Confidence ​

Each insight includes a confidence score:

  • High Confidence (80-100%) - Strong pattern, reliable recommendation
  • Medium Confidence (60-79%) - Emerging pattern, consider testing
  • Low Confidence (40-59%) - Weak signal, requires validation

Best Practices ​

Using AI Insights Effectively ​

  • Run analysis regularly to spot trends early
  • Compare different time periods
  • Test recommendations on small scale first
  • Combine AI insights with domain knowledge
  • Track outcomes of implemented recommendations
  • Use deep analysis for strategic decisions
  • Use standard analysis for quick checks

Data Quality ​

AI insights are only as good as your data:

  • Ensure accurate order tracking
  • Maintain clean user data
  • Track competition metrics consistently
  • Monitor data completeness

Limitations ​

What AI Can't Do ​

  • Guarantee specific outcomes
  • Account for external factors
  • Replace human judgment
  • Predict black swan events
  • Override business constraints

When to Use Human Judgment ​

  • Major strategic decisions
  • Ethical considerations
  • Customer-facing changes
  • Brand positioning
  • Legal compliance

Tips ​

  • Start with standard analysis to conserve credits
  • Use deep analysis for quarterly planning
  • Export reports for stakeholder meetings
  • Track which recommendations worked
  • Combine multiple time periods for trends
  • Set up automated reports for efficiency
  • Review confidence scores before acting
  • A/B test AI recommendations