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Historical Sales Analysis

Historical Sales Analysis involves evaluating past sales data to uncover patterns, trends, and insights that support strategic decisions in planning, forecasting, inventory control, marketing, and overall business growth. It forms the backbone of demand forecasting and business performance measurement.

Key Features​

  • Date-Range Filtering: Analyze data across custom periods (daily, monthly, quarterly, yearly).

  • Product/Category-Wise Sales: Track sales performance by product, SKU, brand, or category.

  • Customer & Territory-Based View: Breakdown by customer groups, geographies, or sales channels.

  • Order Type & Status Analysis: Evaluate by sales type (retail, wholesale), delivery status, returns, etc.

  • Revenue & Profitability Metrics: Include margins, gross profit, discounts, tax, and cost-of-goods-sold (COGS).

  • Trend Visualization: Graphical insights through bar charts, line graphs, and heatmaps.

  • Drill-Down Capabilities: Navigate from summary to transaction-level data.