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Dashboard: Analytics

Exploring the Dashboard and Data Analytics Module in SKUPREME In the bustling world of e-commerce, data reigns supreme. Understanding sales trends, monitoring profits, and analyzing costs are all critical components of running a successful online bu

Key Features:

  1. Customizable Filters: The Dashboard allows users to filter data based on various parameters such as time frame, SKUs, or regions. Whether you're interested in daily, weekly, or monthly trends, or you want to focus on specific product categories or geographical areas, the flexible filtering options cater to your needs.

  2. Store Selection: Users can select the specific store from which they want to gather data. This feature is particularly useful for businesses operating across multiple platforms or marketplaces, allowing them to analyze performance on a store-by-store basis.

  3. Sales Data: At the heart of the Dashboard lies sales data, providing users with a clear overview of revenue generated over a selected period. From total sales figures to breakdowns by product categories or channels, this information is invaluable for understanding overall performance.

  4. Cost Analysis: In addition to revenue, the Dashboard also offers insights into various costs associated with sales operations. Whether it's fulfillment costs, advertising expenses, or other overheads, users can gain a comprehensive understanding of their cost structure.

  5. Profits and Losses: Towards the bottom of the Dashboard, users can delve into the details of individual SKUs and their respective profits and losses. This granular level of analysis allows businesses to identify top-performing products, assess profitability, and make informed decisions about inventory management and pricing strategies.

  6. Data Export: For further analysis or reporting purposes, users have the option to export the data from the Dashboard. This feature enables seamless integration with other tools or platforms, facilitating deeper dives into the numbers or sharing insights with stakeholders.

  7. Input Date Range: With the Input Date Range function, users can specify the exact time frame for which they want to retrieve data. Whether it's historical data for trend analysis or real-time information for immediate decision-making, this feature ensures flexibility and precision in data retrieval.

Conclusion:

In essence, the Dashboard and Data Analytics module in SKUPREME serves as a powerful toolset for e-commerce businesses seeking to unlock the full potential of their sales data. From customizable filters to detailed cost analysis and SKU-level profitability insights, this module empowers users to make data-driven decisions, optimize performance, and drive growth in their online ventures.

 

 

 

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