Problem Statement for Average Customer Sales Yearly Extension

Objective

E-commerce businesses need to evaluate yearly customer trends to optimize strategies for increasing sales and improving customer retention. However, OpenCart lacks a built-in, detailed reporting feature that combines average and total customer sales metrics in a single view.

Challenges Identified

1. Lack of Detailed Insights:
   • No direct way to track and analyze customer behavior, such as average spending, total spending, or order frequency.
2. Difficulty in Trend Analysis:
   • Without visualizations, it is hard to compare year-over-year growth or declines in customer metrics.
3. Performance Bottlenecks in Reporting:
   • Large datasets can slow down reporting processes, impacting business operations.
4. Manual Efforts:
   • Generating consolidated reports often requires manual data extraction and analysis, consuming valuable time.

Solution

The Average Customer Sales Yearly extension addresses these challenges by providing:

1. Comprehensive Yearly Reports:
   • Includes metrics like average orders per customer, total orders, average spending, total spending, and unique customer counts for each year.
2. Visual Insights:
   • Dual-Y-axis charts enable clear comparisons between average and total metrics.
3. Optimized Performance with Caching:
   • Reduces server load by caching report data and allowing on-demand updates.
4. User-Friendly Interface:
   • Easily accessible data and actionable insights for OpenCart store owners.

This extension not only simplifies the process of analyzing customer sales metrics but also provides actionable data to improve marketing, inventory management, and customer relationship strategies.