Business Inventory Performance Dashboard
This Power BI project provides a multi-angle analysis of inventory and sales performance from 1992 to 2020. It enables stakeholders to monitor inventory trends, optimize sales-to-inventory ratios, and forecast future stock needs using advanced visuals and time-series models.
Inventory & Sales Overview + Inventory Trend & Forecasting
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Tracks long-term trends in average inventory (1.35M) and sales (993.59K), with historical and seasonal patterns clearly visualized.
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Includes KPI cards for inventory-sales ratio (1.37) and turnout rate (73.71%), giving a clear snapshot of operational efficiency.
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Uses moving averages and a 6-month forecast model to project inventory levels, helping guide supply planning decisions.
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Seasonal heatmaps and quarterly breakdowns help uncover patterns that affect inventory flow.
Sales-to-Inventory Ratio Analysis + Year-over-Year & Seasonal Insights
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Visualizes how the inventory-sales ratio evolved over time by year and quarter.
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Includes a side-by-side view of inventory change vs. sales change, helping identify imbalances or performance gaps.
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YOY comparison charts show changes in inventory behavior over time.
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Heatmaps by month and year provide seasonal adjustment analysis for more accurate planning and reporting.
Tools & Techniques
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Power BI: DAX, KPI Cards, Forecasting visuals, slicers, and drill-through analysis
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Time Series Analytics: Trend lines, moving averages, and percent change
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Inventory Metrics: Turnout rate, inventory-sales ratio, seasonal impact analysis