Operations Dashboard - Stock Control - Data Version

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Item ID	Product Name	Category	Current Stock	Reorder Level	Status	Last Updated

Operations Dashboard - Stock Control (Data Version) Excel Template

This comprehensive Excel template is specifically designed for operations teams managing inventory and stock control processes. As a "Data Version" of the Operations Dashboard, it prioritizes real-time data accuracy, automated calculations, and dynamic reporting to support strategic decision-making. Built with scalability in mind, this template enables efficient tracking of inventory levels across multiple warehouses or locations while providing actionable insights through visual dashboards. The template integrates key performance indicators (KPIs), alert mechanisms for low stock conditions, reorder suggestions, and trend analysis—all critical components for modern stock control operations. By leveraging Excel’s native data handling features such as structured tables, conditional formatting, dynamic formulas (including INDEX/MATCH and COUNTIFS), and interactive charts, this template transforms raw inventory data into a powerful operational intelligence tool. Designed for both small to mid-sized enterprises and larger distribution networks, the "Data Version" emphasizes integrity by using Excel Tables with named ranges to ensure consistency across all worksheets. This version is optimized for frequent updates—whether daily or per-shift—making it ideal for environments requiring real-time stock visibility and rapid response capabilities.

Sheet Names and Their Functions

1. Inventory Master: Central database of all products, SKUs, locations, categories, and stock attributes.
2. Daily Stock Movement Log: Tracks daily additions (receipts), removals (sales/usage), and adjustments to inventory.
3. Stock Levels Summary: Aggregates current stock data by product, location, and category with KPIs.
4. Reorder Recommendations: Automatically calculates reorder points based on demand trends and lead times.
5. Dashboard (Operations Overview): Visual centerpiece showing KPIs, charts, alerts, and performance metrics.

Table Structures and Columns

1. Inventory Master Table

<<Numerical
(Integer, e.g., 5)

Column Name	Data Type/Format	Description
SKU_ID	Text (e.g., PROD-001)	Unique product identifier.
Product Name	Text	Description of the item.
Category	List (Dropdown: Raw Materials, Finished Goods, Packaging)	Categorization for reporting.
Unit of Measure (UoM)	Text (e.g., pcs, kg, liters)	Determines measurement unit.
Reorder Point	Numerical (Decimal)	Threshold triggering reorder alert.
Lead Time (Days)
Current Safety Stock	Numerical	Recommended buffer inventory level.
Last Updated Date	Date (Auto-fill with =TODAY())	Timestamp of last data update.

2. Daily Stock Movement Log Table

List: Warehouse A, Warehouse B, Retail Outlet 1

Column Name	Data Type/Format	Description
Date Recorded	Date (dd/mm/yyyy)	Transaction date.
SKU_ID	Text (Linked to Inventory Master)	Foreign key linking to master data.
Transaction Type	List: Receipt, Sale, Adjustment, Return	Type of stock movement.
Quantity Change	Numerical (Positive for receipt/return; negative for sale)	Net change in inventory units.
Location ID
Batch Number (Optional)	Text/Number (if applicable)	For traceability in regulated industries.
User ID	Text (e.g., EMP00123)	ID of person logging transaction.

Key Formulas Required

Current Stock Level Calculation: In the "Stock Levels Summary" sheet, use: =SUMIFS('Daily Stock Movement Log'!$D:$D, 'Daily Stock Movement Log'!$B:$B, [@SKU_ID]) This sums all quantity changes for a given SKU.
On-Hand Quantity: Dynamic lookup using =XLOOKUP(SKU_ID, Inventory Master[SKU_ID], Inventory Master[Current Stock]) (or INDEX/MATCH for older Excel versions).
Days of Supply: =IFERROR([@On-Hand Quantity]/AVERAGEIFS('Daily Stock Movement Log'!$D:$D, 'Daily Stock Movement Log'!$B:$B, [@SKU_ID], 'Daily Stock Movement Log'!$C:$C, "Sale"), 0) Provides estimated days until stock-out based on average daily sales.
Reorder Flag: =IF([@On-Hand Quantity] <= [@Reorder Point], "YES", "NO") Triggers alerts when stock is below threshold.

Conditional Formatting Rules

Low Stock Alert: Apply red fill and bold text to cells in the “On-Hand Quantity” column if value is less than or equal to Reorder Point.
Danger Zone: If Days of Supply < 3, apply dark red background with white font.
Overstock Warning: If On-Hand > 2× Safety Stock, highlight in yellow to flag potential overstocking.
Recent Updates: Highlight rows where “Last Updated Date” is within last 24 hours with green tint.

User Instructions

Open the template and enable macros if prompted (required for dynamic form controls).
Enter new product details in the "Inventory Master" table using consistent formatting.
Add daily transactions to "Daily Stock Movement Log" with accurate dates, SKUs, and quantities.
The dashboard auto-updates every time a new entry is saved. Refresh manually via Data → Refresh All if needed.
Review the “Reorder Recommendations” sheet to identify items requiring immediate purchase orders.
Use the drop-down filters in the Dashboard to analyze performance by location, category, or time period.

Example Rows

Inventory Master (Example):
SKU_ID: PROD-045
Product Name: High-Temp Silicone Sealant
Category: Raw Materials
Unit of Measure: liters
Reorder Point: 15.0
Lead Time (Days): 7
Current Safety Stock: 20.0 Daily Stock Movement Log (Example):
Date Recorded: 24/04/2025
SKU_ID: PROD-045
Transaction Type: Receipt
Quantity Change: +10.0
Location ID: Warehouse A
Batch Number: S3789A

Recommended Charts and Dashboards

Stock Level Trend Line Chart: Plot “On-Hand Quantity” over time for high-priority SKUs.
Pie Chart: Stock by Category: Visualize inventory distribution across raw materials, finished goods, and packaging.
Gantt-style Reorder Timeline: Display expected delivery dates based on lead times and reorder triggers.
Bar Chart: Top 10 Fast-Moving Items: Identify bestsellers for forecasting and allocation planning.

This Excel template exemplifies a modern "Operations Dashboard" approach to "Stock Control" by combining structured data management, automation, and visual intelligence—ensuring the "Data Version" remains accurate, actionable, and responsive to operational needs. ⬇️ Download as Excel ✏️ Edit online as Excel

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