Track product performance, sales trends, and revenue by product with comprehensive analytics for your product store.

Product Metrics Dashboard

Sales Performance Tracking:Key Performance Metrics:
  • Total Products - Complete product catalog count
  • Active Products - Currently available products
  • Archived Products - Inactive product listings
  • Total Sales Value - Revenue from product sales
Performance Indicators:
  • Top-selling products
  • Revenue per product
  • Sales velocity by product
  • Product conversion rates
Product store analytics dashboard - light modeProduct store analytics dashboard - dark mode

Product Store Analytics Dashboard

Sales Analytics:
  • Product sales trends
  • Seasonal performance patterns
  • Price elasticity analysis
  • Customer preference insights

Advanced Product Analytics

Comprehensive Sales Metrics:Revenue Analysis:
  • Total Sales Revenue - Complete product revenue
  • Average Order Value - Mean purchase amount
  • Sales Growth Rate - Period-over-period growth
  • Revenue per Product - Individual product contribution
Sales Patterns:
  • Daily sales trends
  • Weekly performance cycles
  • Monthly sales patterns
  • Seasonal demand variations
Product Ranking:
  • Best-selling products by volume
  • Highest revenue-generating products
  • Most profitable products
  • Fastest-moving inventory
Customer Insights:
  • Product preference analysis
  • Customer segment preferences
  • Repeat purchase patterns
  • Product affinity analysis
Stock Control and Optimization:Inventory Levels:
  • Current stock quantities
  • Available vs. reserved stock
  • Stock value calculations
  • Inventory aging analysis
Stock Movement:
  • Inventory turnover rates
  • Stock velocity tracking
  • Slow-moving inventory identification
  • Fast-moving product analysis
Reorder Management:
  • Reorder point calculations
  • Lead time considerations
  • Economic order quantity (EOQ)
  • Safety stock requirements
Stock Optimization:
  • Overstock identification
  • Understock risk assessment
  • Optimal inventory levels
  • Cost reduction opportunities
Product Performance Over Time:Lifecycle Stages:
  • Introduction - New product launch
  • Growth - Increasing sales momentum
  • Maturity - Stable sales performance
  • Decline - Decreasing demand
Performance Tracking:
  • Sales trajectory analysis
  • Product adoption rates
  • Market penetration metrics
  • Competitive positioning
Lifecycle Optimization:
  • Product promotion strategies
  • Pricing optimization
  • Inventory planning
  • End-of-life planning

Product Table Analytics

Product Listing

Product Catalog View:
  • Complete product information
  • Stock levels and status
  • Pricing and currency details
  • Sales performance indicators

Filtering Options

Advanced Filtering:
  • Filter by product status
  • Stock level filtering
  • Sort by performance metrics
  • Search by product name

Product Filtering and Analysis

1

Select Time Range

Choose your analysis period:
  • 7 Days - Recent product performance
  • 30 Days - Monthly product analysis
  • 90 Days - Quarterly performance review
  • 1 Year - Annual product trends
  • Custom Range - Specific date periods
2

Filter by Product Status

Focus on specific product categories:
  • All Products - Complete product catalog
  • Active Products - Currently available items
  • Archived Products - Inactive product listings
  • Low Stock - Products needing restocking
3

Sort by Performance

Organize products by key metrics:
  • Product Name - Alphabetical sorting
  • Price - Value-based sorting
  • Stock Level - Inventory quantity
  • Sales Performance - Revenue-based ranking
4

Export Product Data

Download product analytics:
  • CSV export for detailed analysis
  • Product performance reports
  • Inventory status reports
  • Sales analytics summaries

Stock Management Features

Real-Time Inventory Tracking:Stock Status Indicators:
  • High Stock - Green indicator (>100 units)
  • Medium Stock - Yellow indicator (20-100 units)
  • Low Stock - Orange indicator (1-20 units)
  • Out of Stock - Red indicator (0 units)
Stock Alerts:
  • Automated low stock notifications
  • Out-of-stock alerts
  • Reorder point triggers
  • Critical inventory warnings
Stock History:
  • Inventory movement tracking
  • Stock adjustment logs
  • Purchase order history
  • Sales impact on inventory
Stock Value Calculations:Valuation Methods:
  • Current stock value
  • Cost basis calculations
  • Market value assessments
  • Inventory write-down tracking
Financial Impact:
  • Inventory carrying costs
  • Stock value fluctuations
  • Inventory investment analysis
  • Cash flow impact assessment
Optimization Insights:
  • Overstock cost analysis
  • Understock opportunity costs
  • Optimal inventory investment
  • ROI on inventory decisions

Product Performance Insights

Top Performers

Best-Selling Products:
  • Highest revenue products
  • Most popular items
  • Fastest-moving inventory
  • Customer favorites

Underperformers

Low-Performance Products:
  • Slow-moving inventory
  • Low-revenue products
  • Poor conversion rates
  • Optimization candidates

Growth Opportunities

Expansion Potential:
  • High-demand products
  • Stock-out frequency
  • Market gap identification
  • Revenue growth opportunities

Data Export and Reporting

Comprehensive Product Analytics:Report Types:
  • Product performance summaries
  • Inventory status reports
  • Sales analytics reports
  • Stock movement analysis
Export Formats:
  • CSV for spreadsheet analysis
  • PDF for presentation
  • JSON for system integration
  • Charts and visualizations
AI-Powered Product Intelligence:Predictive Analytics:
  • Demand forecasting
  • Stock optimization recommendations
  • Price optimization suggestions
  • Product lifecycle predictions
Alert Systems:
  • Inventory threshold alerts
  • Performance anomaly detection
  • Trend change notifications
  • Optimization opportunity alerts
Use stock level indicators to maintain optimal inventory. Focus on high-performing products while identifying opportunities to improve or discontinue underperforming items.
Monitor low stock levels closely to avoid stockouts that could impact sales. Set up automated alerts for critical inventory thresholds.
Product metrics are updated in real-time as transactions occur and inventory changes. Historical data enables trend analysis and forecasting for better inventory planning and product strategy decisions.