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Sales Forecasting - Stock Control - Dashboard View

Download and customize a free Sales Forecasting Stock Control Dashboard View Excel template. Perfect for business, legal, and personal use. Editable and ready to boost your productivity.

Sales Forecasting Dashboard - Stock Control

Real-time inventory planning and demand prediction for optimized stock levels

Product ID Product Name Last Month Sales (Units) Forecasted Sales (Next Month) Current Stock Level Reorder Point Status
P001Gaming Mouse Pro X1234268156180Low Stock Alert!
P002Mechanical Keyboard K75319345212200Approaching Reorder Point
P003Laptop Stand UltraLite8795124100Sufficient Stock
P004AirPods Max Clone 2.0
© 2024 Sales Forecasting Dashboard | Stock Control Module | Updated: April 5, 2024

Comprehensive Excel Template for Sales Forecasting and Stock Control with Dashboard View

This fully functional Excel template is designed specifically for businesses that require an integrated solution combining Sales Forecasting, Stock Control, and a dynamic Dashboard View. The template enables users to track inventory levels, predict future sales based on historical data, and visualize performance metrics—all in one centralized, interactive workbook. Ideal for small to medium-sized enterprises managing multiple SKUs across various sales channels (e.g., retail stores, online platforms), this dashboard-driven system helps minimize overstocking and stockouts while maximizing revenue potential.

Sheet Names

  • Data Input – Where raw sales and inventory data are entered.
  • Sales Forecasting – Contains calculations, trend analysis, and predictive models.
  • Stock Control Summary – Displays real-time stock levels, reorder points, and lead times.
  • Dashboard View – The central hub with visual KPIs, charts, and interactive controls.
  • Data Dictionary – Explains all fields, formulas, and definitions for clarity.

Table Structures and Columns (Data Input Sheet)

The Data Input sheet is the backbone of the system. It uses structured tables to ensure data integrity and ease of analysis.

Column Name Data Type Description
Date Date (DD/MM/YYYY) Transaction date for each sales or stock movement event.
Product ID Text/Number Unique identifier for each product (e.g., P001).
Product Name Text Name of the product (e.g., "Wireless Earbuds Pro").
Sales Quantity Numeric (Integer) Number of units sold on that date.
Stock Inflow (Units) Numeric (Integer) Number of units received in inventory, e.g., from suppliers.
Stock Outflow (Units) Numeric (Integer) Units removed from stock due to sales or internal use.
Unit Price (£) Numeric (Currency) Selling price per unit.

Formulas Required

Key formulas are embedded to automate data processing across sheets:

  • Running Stock Balance (in Data Input):
    =IF(ROW()-ROW($A$1)=0, [Initial Stock], OFFSET([Running Stock Balance],-1,0) + [Stock Inflow] - [Stock Outflow])
  • Monthly Sales Sum (Sales Forecasting Sheet):
    =SUMIFS(DataInput[Sales Quantity], DataInput[Date], ">="&DATE(YEAR(TODAY()),MONTH(TODAY())-6,1), DataInput[Date], "<="&EOMONTH(TODAY(),0))
  • Forecasted Demand (3-Month Moving Average):
    =AVERAGE(OFFSET(SalesQuantityColumn, COUNT(SalesQuantityColumn)-3, 0, 3))
  • Reorder Point Calculation:
    =Average Daily Sales * Lead Time (in days) + Safety Stock
  • Stock-to-Sales Ratio:
    =Total Stock / Total Sales (30-day average)

Conditional Formatting

To enhance usability and alert users to critical conditions, conditional formatting rules are applied:

  • Stock Level Alerts: Highlight cells in red if stock quantity drops below reorder point.
  • Sales Growth/Decline: Green arrows for positive growth; red for decline compared to previous month.
  • Critical Stock Levels: Yellow background if stock is between 50% and 80% of reorder threshold.
  • Forecast Accuracy: Color scale based on forecast error percentage (e.g., green = under 10%, red = over 25%).

User Instructions

  1. Data Entry: Enter daily sales and inventory movement data into the Data Input sheet. Ensure dates are consistent and product IDs match exactly.
  2. Daily Reconciliation: At the end of each day, update stock balances using the auto-calculated Running Stock Balance column.
  3. Monthly Review: Navigate to the Sales Forecasting and Stock Control Summary sheets to assess trends and identify products at risk of stockout.
  4. Predictive Analysis: The template automatically updates forecasts based on historical performance. Adjust safety stock levels manually if seasonal patterns change.
  5. Dashboard Monitoring: Use the interactive dashboard to track KPIs, compare actual vs. forecasted sales, and drill down into product-specific data.

Example Rows (Data Input Sheet)

Date Product ID Product Name Sales Quantity Stock Inflow (Units) Stock Outflow (Units) Unit Price (£)
01/04/2025P017Luxury Coffee Mug153045
02/04/2025P99AGaming Mouse Pro X1808
03/04/2025P66BSolar Charger 5KWh3-15-18
04/04/2025P77CWireless Earbuds Pro21021*

*Note: Stock outflow = sales; inflow = zero (no restock).

Recommended Charts and Dashboard Elements

The Dashboard View integrates the following visual components to provide actionable insights:

  • Sales Trend Line Chart: Shows monthly sales over the last 12 months with a forecasted 3-month projection.
  • Stock Levels by Product (Bar Chart): Visualizes current inventory, reorder points, and safety stock for top 10 products.
  • Sales vs. Forecast (Combo Chart): Compares actual sales to predicted values using dual axes.
  • Pie Chart: Stock Distribution by Category: Reveals which product categories hold the most inventory.
  • KPI Gauges: Display metrics such as Forecast Accuracy, Stock Turnover Ratio, and Critical Stock Alert Count.

This Excel template is fully dynamic and self-updating. By combining robust Sales Forecasting, real-time Stock Control, and a sleek, interactive Dashboard View, it empowers decision-makers to optimize inventory efficiency, reduce carrying costs, and increase customer satisfaction through reliable product availability.

Note: This template is compatible with Microsoft Excel 2016 or later. Macros are optional; formulas are entirely formula-based for universal compatibility.

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