Dashboard solutions for the retail industry are essential for decision makers to analyse the metrics related to revenue and inventory. Consequently, data analysis allows them to take firm decisions in-spite of demand and supply fluctuations. Such, fluctuations may be due to weather, geographic locations, social media hypes and more.
Store managers use KPIs like average basket size, average unit in retail, sales per sq. ft. and average basket value. In addition, they also track net sales, and profit margin details by product category and by store. Similarly, inventory managers track KPIs like inventory turnover ratio, gross margin ROI apart from purchase orders, and stock availability of each item. Above all, Bold BI’s retail dashboards allows you to access all such retail KPIs in one place.
Drilled-down store-wise revenue analysis lets decision makers decide on future investments and store improvisation plans. Net sales and gross profit by product category allows to decide which category provides higher profit despite less sales volume.
Meanwhile, retail managers ensure that necessary products are available in all stores. This is to avoid situations like out-of-stock for customers or overstock for managers. In short, monitoring top-selling items and ensuring their availability helps inventory managers give assurance for orders placed by store managers requesting those items.
In short, check out our sample retail dashboards to learn more about how we can help your retail store to grow and reach great heights.
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Retail Dashboard Examples
Bold BI for the Retail Industry – Common Metrics
With Bold BI’s user-friendly, fully customizable, interactive dashboards, you can track all the key performance indicators that retail industry experts depend on:
- Total sales, COGS and net sales for a selected period and selected store.
- Visitors and buyers count in different stores.
- Sales metrics like AUR, sales per sq. ft.
- Summarized data about stock availability.
- Purchase order tracking based on expected date.
- Average inventory value by product category.