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Sales Forecasting - Warehouse Inventory - Dashboard View

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

Sales Forecasting Dashboard

Warehouse Inventory Overview | Q3 2024 Forecast

Total Inventory Value

$897,650

Items in Stock

1,428

Forecasted Sales (Next 30 Days)

$245,175

Reorder Alerts

24

Product ID Product Name Category In Stock (Units) Demand Forecast (Units) Sales Velocity (Daily) Status
W1001Steel Framing KitFraming Materials52438712.9Optimal
W1002Plywood Sheets (4x8)Flooring & Walls36741513.8Low Stock
W1003Insulation Batts (R-19)Insulation205289Low Stock
W1004Drywall Panels (4x8)Flooring & Walls63157219.1Optimal
W1005Tape & Joint Compound SetMiscellaneous Supplies48342614.2Monitor Level
W1006Nail Gun (Pneumatic)Tools & Equipment89722.4Optimal
W1007Battery Charger (Universal)Tools & Equipment63893.0Low Stock
W1008Gypsum Board (Fire Rated)Flooring & Walls1562247.5Low Stock

Sales Forecasting & Warehouse Inventory Dashboard Template (Excel)

This comprehensive Excel template is specifically designed for businesses aiming to streamline their Sales Forecasting and Warehouse Inventory management through an intuitive, data-driven Dashboards View. By integrating historical sales trends, current inventory levels, reorder points, and predictive analytics in a single dynamic interface, this template empowers managers to anticipate demand fluctuations, prevent stockouts or overstocking scenarios, and optimize supply chain operations.

Sheet Names & Structure

  • Data Entry Sheet (Raw Data): Contains all source data including daily sales records, inventory transactions (receipts and issues), and product master details.
  • Sales Forecasting Dashboard: The central hub for visualizing projected sales, comparing forecasts vs. actuals, and monitoring forecast accuracy metrics.
  • Inventory Management Sheet: Tracks real-time stock levels across multiple warehouse locations, with automated reorder triggers.
  • Demand Trend Analysis: Displays historical sales trends using time-series analysis and calculates moving averages for improved forecasting precision.
  • KPIs & Alerts Dashboard: Presents key performance indicators like inventory turnover rate, stockout frequency, forecast error percentage, and safety stock compliance.
  • Product Master List: Central repository of product information including SKUs, categories, unit cost, supplier details, reorder points (ROP), and lead times.

Table Structures & Columns

Data Entry Sheet – Sales Transactions Table

<Amount sold on the transaction date.<
Column NameData TypeDescription
Date (YYYY-MM-DD)Date/TimeTransaction date for sales or inventory adjustments.
Product SKUText/StringUnique identifier for each product.
Sales Quantity (Units)Numeric (Integer)
Sales Value ($)Numeric (Currency)Total revenue from the sale.
Warehouse LocationText/StringPhysical location of inventory during transaction (e.g., "North Warehouse", "Central DC").
Transaction TypeDropdown (Sales, Receipt, Return, Adjustment)Type of operation recorded.

Inventory Management Sheet – Stock Status Table

Column NameData TypeDescription
Product SKUText/String (Linked to Master List)Cross-reference with product details.
Product NameText/StringName of the item.
Current Stock Level (Units)Numeric (Integer)Total available units in inventory across all locations.
Safety Stock Level (Units)Numeric (Integer)Minimum stock level to avoid stockouts.
Reorder Point (ROP) (Units)Numeric (Integer)Threshold triggering automatic reorder recommendation.
Lead Time (Days)NumericAverage days to receive new stock after order placement.
Next Expected Delivery DateDate/Time (Formula-Generated)Calculated based on last receipt and lead time.
Status IndicatorText (Auto-Generated)"In Stock", "Low Stock", "Out of Stock"

Product Master List – Configuration Table

<<
Column NameData TypeDescription
SKUText/String (Unique)Distinguishable product code.
Product CategoryDropdown (e.g., Electronics, Apparel, Hardware)Categorization for reporting.
Selling Price ($)Numeric (Currency)Average selling price per unit.
Cost per Unit ($)Numeric (Currency)Procurement cost of each item.
Safety Stock LevelNumeric (Integer)Minimum required stock level.
Reorder Point (ROP)Numeric (Integer)Trigger threshold for restocking.
Lead Time (Days)NumericAverage delivery time from supplier.
Supplier NameText/StringName of the vendor supplying this product.

Key Formulas Required

  • CURRENT STOCK LEVEL (Inventory Sheet): =SUMIFS(DataEntry!C:C, DataEntry!B:B, ProductMasterList!A2, DataEntry!E:E, "Receipt") - SUMIFS(DataEntry!C:C, DataEntry!B:B, ProductMasterList!A2, DataEntry!E:E, "Sales")
  • STATUS INDICATOR: =IF(CurrentStock <= SafetyStock,"Low Stock", IF(CurrentStock = 0,"Out of Stock","In Stock"))
  • NEXT EXPECTED DELIVERY DATE: =MAXIFS(DataEntry!A:A, DataEntry!B:B, SKU, DataEntry!E:E, "Receipt") + LeadTime
  • Sales Forecast (7-Day): =FORECAST.LINEAR(TODAY()+1: TODAY()+7, SalesHistoryData[Sales Quantity], SalesHistoryData[Date])
  • Forecast Accuracy (%) : =1 - (SUM(ABS(Actual - Forecast)) / SUM(Actual))

Conditional Formatting Rules

  • In Stock: Green background, bold text.
  • Low Stock: Yellow background with red border.
  • Out of Stock: Red background, flashing icon (for urgent attention).
  • Sales Forecast vs. Actuals Chart: Color-coded bars where forecasted values are green and actuals are blue; bars exceeding 10% variance highlighted in orange.

User Instructions

To use this template effectively:

  1. Populate the Product Master List with all SKUs and their respective safety stock, ROP, and lead times.
  2. Add daily sales and inventory transactions to the "Data Entry Sheet" using correct SKUs and transaction types.
  3. Refresh formulas: Use Excel’s “Calculate Now” (F9) after data entry to update all dependent calculations.
  4. Analyze the Dashboard: Review KPIs, color indicators, and trend charts to identify slow-movers, overstocked items, or upcoming stockouts.
  5. Generate purchase orders when "Low Stock" or "Out of Stock" items appear; use ROP values to determine order quantities.

Example Data Rows (Sales & Inventory)

DateProduct SKUSales QuantitySales Value ($)Warehouse Location
2024-04-15P1037A12$696.00North Warehouse
2024-04-15P982C5 $375.00 Central DC
2024-04-16P1037A8$464.00North Warehouse

Recommended Charts & Dashboard Elements (Sales Forecasting + Inventory)

  • Dual-Axis Line Chart: Shows historical sales (left axis) vs. forecasted demand (right axis) with color-coded confidence bands.
  • Inventory Level Heatmap: Grid showing stock levels per product category and warehouse location, using gradient colors for quick visual scanning.
  • Pie Chart: Stock Value Distribution by Category – Highlights capital tied up in inventory per product group.
  • Gantt Chart (Next Delivery Schedule): Displays expected delivery dates for open purchase orders, aiding planning and logistics coordination.

Note: This template is fully compatible with Microsoft Excel 2016 or later. All formulas use standard Excel functions for maximum compatibility. To enable automatic updates, ensure "Calculate on Save" is enabled in File > Options > Formulas.

⬇️ Download as Excel✏️ Edit online as Excel

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