Sales Report Dashboard

Gaining Insights into Your Shop’s Performance

The 'Sales Report' section of your dashboard is a powerful analytics tool that provides you with real-time data on your shop’s sales performance. Here’s how you can utilize this feature to monitor your business health and make informed decisions.

Understanding the Sales Dashboard

The dashboard displays key performance indicators (KPIs) and graphs that give you a snapshot of your shop's sales activity.

• Number of Sales: The total number of completed sales transactions within a specific period.

• Total Revenue: The sum of income generated from sales before expenses are deducted.

• Total Profit: Your net earnings, calculated as Total Revenue minus Total Cost.

• Total Cost: The total expenditure associated with the sold products.

Utilizing Sales Graphs

You have access to detailed graphs showing trends over different time frames:

• Today Revenue, Cost, and Profit: This graph displays the day's financial metrics, updating in real-time to reflect today’s business activity.

• Current Week Revenue, Cost, and Profit: View a seven-day trend of your shop’s financials, helping you understand weekly performance.

Navigating Different Reports

• All Report: A comprehensive view of all sales-related data.

• Weekly Report: Breaks down sales data on a week-by-week basis.

• Monthly Report: Aggregates sales data over each month.

• Yearly Report: Summarizes sales for the year, providing a high-level overview of your shop’s performance.

(Future sections indicated in the dashboard, such as 'Range Report' and 'Export Report', will allow you to customize the range of data you see and export data for offline analysis or reporting.)

Report Settings

Adjust settings related to the generation and display of sales reports to match your preferences or reporting requirements.

Maximizing the Use of Sales Reports

• Regularly check your sales dashboard to stay abreast of financial trends.

• Use insights from the reports to identify sales patterns, peak shopping times, and product preferences.

• Implement data-driven strategies to enhance marketing efforts, inventory management, and customer experience based on report analysis.