Skip to main content

​
Overview

Sistema de Ventas provides comprehensive analytics and reporting capabilities across all business functions. The system collects data from sales, purchases, inventory, and customer interactions to provide actionable business insights.

​
Key Analytics Features

Sales Analytics

Track sales performance, trends, and top-selling products

Inventory Reports

Monitor stock levels, turnover rates, and reorder points

Customer Insights

Analyze customer behavior, segmentation, and lifetime value

Financial Reports

Revenue tracking, profit margins, and financial performance

Supplier Performance

Evaluate supplier reliability, pricing, and delivery metrics

Dashboard Visualizations

Real-time visual analytics with Chart.js integration

​
Sales Analytics

The Sales Service provides built-in analytics endpoints for business intelligence:

​
Top Selling Products

Identify your best-performing products: 
GET /venta/productos-mas-vendidos
Returns the top 10 most sold products with:
  • Product ID and name
  • Total quantity sold
  • Total revenue generated
  • Average sale price
  • Sales trend direction
Use Cases:
  • Inventory planning
  • Marketing focus
  • Promotion strategies
  • Product bundling decisions
Track sales performance over time: 
GET /venta/ventas-por-mes
Provides monthly aggregated data:
  • Total sales per month
  • Number of transactions
  • Average transaction value
  • Month-over-month growth
Use Cases:
  • Seasonal pattern identification
  • Sales forecasting
  • Goal setting
  • Performance evaluation

​
Total Revenue

Get cumulative sales totals: 
GET /venta/total-ventas
Returns:
  • Grand total of all sales
  • Useful for dashboard displays
  • Financial reporting
  • Performance metrics

​
Date Range Analytics

​
Custom Period Analysis

Analyze sales for specific time periods: 
GET /venta/buscar-por-fechas?inicio=2024-01-01T00:00:00&fin=2024-03-31T23:59:59
Applications:
  • Quarterly reports
  • Campaign performance measurement
  • Comparative period analysis
  • Custom reporting periods

​
Year-over-Year Comparison

Compare performance across years:
  • Same month previous year
  • Quarter-over-quarter
  • Year-to-date comparisons
  • Growth rate calculations

​
Inventory Analytics

​
Stock Level Monitoring

Track inventory health:
  • Low Stock Items - Products below reorder point
  • Overstock Items - Excess inventory
  • Out of Stock - Zero quantity products
  • Stock Value - Total inventory value

​
Inventory Turnover

Measure inventory efficiency: 
Inventory Turnover = Cost of Goods Sold / Average Inventory Value
Benefits:
  • Identify slow-moving items
  • Optimize stock levels
  • Improve cash flow
  • Reduce holding costs

​
Product Performance

Analyze product movement:
  • Units sold per period
  • Revenue per product
  • Profit margin by product
  • Stock-to-sales ratio

​
Customer Analytics

​
Customer Segmentation

Group customers by behavior:
  • High-Value Customers - Top spenders
  • Frequent Buyers - Regular purchasers
  • New Customers - Recent registrations
  • Inactive Customers - No recent purchases

​
Customer Lifetime Value

Calculate customer worth: 
CLV = (Average Purchase Value × Purchase Frequency) × Customer Lifespan
Applications:
  • Marketing budget allocation
  • Customer retention focus
  • Loyalty program design
  • Service level decisions

​
Purchase Patterns

Understand buying behavior:
  • Average transaction value
  • Purchase frequency
  • Product preferences
  • Seasonal purchasing patterns

​
Financial Reporting

​
Revenue Reports

Comprehensive revenue tracking:
  • Daily revenue totals
  • Revenue by payment method
  • Revenue by product category
  • Revenue by customer segment

​
Profit Margin Analysis

Calculate profitability: 
Gross Profit Margin = ((Sale Price - Cost) / Sale Price) × 100
Insights:
  • Identify high-margin products
  • Optimize pricing strategies
  • Focus on profitable categories
  • Improve cost management

​
Tax Reporting

IGV (VAT) reporting for compliance:
  • Total IGV collected
  • IGV paid on purchases
  • Net IGV payable
  • Tax period summaries

​
Supplier Performance

​
Delivery Metrics

Track supplier reliability:
  • On-time delivery rate
  • Average lead time
  • Order accuracy
  • Quality issues

​
Cost Analysis

Monitor supplier pricing:
  • Cost per supplier
  • Price trend analysis
  • Volume discounts achieved
  • Cost comparison across suppliers

​
Purchase Volume

Analyze procurement patterns:
  • Total purchases per supplier
  • Number of purchase orders
  • Average order value
  • Supplier dependency ratio

​
Dashboard Visualizations

The Angular frontend provides rich visualizations:

​
Chart.js Integration

The system uses Chart.js for interactive charts: 
import { Chart } from 'chart.js';

// Sales trend chart
const salesChart = new Chart(ctx, {
  type: 'line',
  data: {
    labels: months,
    datasets: [{
      label: 'Monthly Sales',
      data: salesData,
      borderColor: 'rgb(75, 192, 192)',
      tension: 0.1
    }]
  }
});

​
Available Chart Types

Line Charts

Sales trends over time

Bar Charts

Product comparisons

Pie Charts

Category distributions

Doughnut Charts

Payment method splits

Area Charts

Revenue accumulation

Scatter Plots

Price vs. volume analysis

​
Report Generation

​
PDF Reports

The system uses jsPDF for report generation: 
import jsPDF from 'jspdf';

// Generate invoice PDF
const generateInvoice = (sale: Venta) => {
  const doc = new jsPDF();
  
  doc.text('Sistema de Ventas', 20, 20);
  doc.text(`Invoice #${sale.serie}-${sale.numero}`, 20, 30);
  doc.text(`Date: ${sale.fechaVenta}`, 20, 40);
  // Add sale details...
  
  doc.save(`invoice-${sale.serie}-${sale.numero}.pdf`);
};

​
Available Reports

  • Sales Invoices - Customer-facing invoices
  • Purchase Orders - Supplier purchase documents
  • Inventory Reports - Stock level summaries
  • Financial Statements - Revenue and profit reports
  • Customer Statements - Account summaries

​
Key Performance Indicators (KPIs)

​
Sales KPIs

Total Revenue

Cumulative sales value for the period

Average Transaction Value

Mean sale amount per transaction

Sales Growth Rate

Period-over-period sales increase

Conversion Rate

Orders to completed sales ratio

​
Inventory KPIs

Inventory Turnover

How quickly inventory is sold and replaced

Stock-out Rate

Percentage of time products are unavailable

Carrying Cost

Cost of holding inventory

Days Sales of Inventory

Average days to sell inventory

​
Customer KPIs

Customer Acquisition Cost

Cost to acquire new customers

Customer Retention Rate

Percentage of customers retained

Average Customer Lifetime Value

Total value per customer relationship

Repeat Purchase Rate

Percentage of customers making multiple purchases

​
Real-Time Analytics

The microservices architecture enables real-time data:
  • Live Dashboard Updates - Automatic data refresh
  • Transaction Monitoring - Real-time sales tracking
  • Inventory Alerts - Instant low-stock notifications
  • Performance Metrics - Current KPI values

​
Data Export

Export data for external analysis:

​
Export Formats

  • CSV - Spreadsheet-compatible format
  • Excel - Native Excel format with formatting
  • PDF - Print-ready reports
  • JSON - Programmatic data access

​
Export Capabilities

  • Sales transaction history
  • Product catalog exports
  • Customer lists
  • Inventory snapshots
  • Financial summaries

​
Best Practices

Review key metrics daily, weekly, and monthly. Set up alerts for significant changes or threshold breaches.
Always compare metrics to previous periods (week, month, year) to identify trends and patterns.
Focus on metrics that drive business decisions. Don’t just track data—use it to inform strategy.
Ensure data accuracy through proper transaction recording and regular reconciliation.
Customize dashboards for different user roles (management, sales, inventory) to show relevant metrics.

​
Advanced Analytics

​
Predictive Analytics

Future enhancements may include:
  • Sales forecasting using historical trends
  • Inventory demand prediction
  • Customer churn prediction
  • Seasonal pattern identification

​
Business Intelligence

Integration opportunities:
  • External BI tools (Power BI, Tableau)
  • Data warehouse integration
  • Advanced statistical analysis
  • Machine learning applications

​
Next Steps

Sales Management

Understand sales data sources

Inventory Control

Learn about inventory metrics

Customer Management

Explore customer analytics

API Reference

Access analytics endpoints

Build docs developers (and LLMs) love

Get started for freeTalk to us