Summary

This Power BI merchandise sales dashboard analyzes ecommerce performance across products, customers, locations, and time periods. It helps users explore sales trends, product demand, buyer behavior, shipping activity, and customer feedback.

Created by Andreas Miftakhul Pratama using the Merchandise Sales dataset, the report was submitted to the January 2025 Onyx Data DataDNA ZoomCharts Mini Challenge. Its interactive visuals support high-level monitoring and detailed exploration of merchandise performance.

Key Insights of the Power BI Merchandise Sales & Customer Insights Dashboard

• Sales trends: Track merchandise performance across different dates and identify changes in purchasing activity.
• Product performance: Compare categories and individual products to identify stronger and weaker performers.
• Customer insights: Explore buyer characteristics, purchasing patterns, and potential repeat-purchase behavior.
• Geographic demand: Examine how merchandise activity varies by customer location and market.
• Shipping and feedback: Investigate shipping charges, product ratings, and reviews alongside sales performance.
• Metric relationships: Use scatter and category visuals to explore relationships between sales, ratings, pricing, and other merchandise measures.

How to Use This Power BI Merchandise Sales & Customer Insights Dashboard

Preview the report online and use the available filters and drill-down interactions to explore performance by period, product, customer group, and location. Select data points within the charts or map to focus the analysis on specific merchandise segments.

Download the PBIX template and open it in Power BI Desktop to review the data model, measures, and visual configuration. Replace the sample merchandise data with your own ecommerce dataset, map the corresponding fields, refresh the report, and adapt the pages to your sales analysis requirements.