Operations Dashboard - Stock Control (Basic) Excel Template

This comprehensive Excel template is specifically designed for operations teams seeking a streamlined, user-friendly solution to monitor and manage inventory levels in real time. Tailored for the purpose of an Operations Dashboard, this Stock Control system provides essential tools to track product availability, identify stock shortages, analyze usage patterns, and improve supply chain efficiency—all within a simple Basic design framework that ensures accessibility and ease of use.

Overview of the Template Structure

Sheet 1: Data Entry (Stock Transactions)

• Table Structure: A dynamic Excel table named DataEntryTable
• Columns and Data Types:
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Column Name	Data Type	Description
Date (Transaction)	Date/Time (Short Date)	When the transaction occurred.
Item ID	Text / Number (with validation)	Unique identifier for each product.
Description	Text	Description of the product (e.g., "Blue Widget - Size M").
Category	Text (with dropdown list)	Product grouping such as "Electronics", "Raw Materials", or "Packaging Supplies".
Type	Text (Dropdown: Inbound, Outbound)	Sets whether stock is being added or removed.
Quantity	Numeric (positive number only)	The quantity of the item involved in the transaction.
Unit Cost ($)	Currency (Format $0.00)	Cost per unit for inbound transactions; not used for outbound.
Reference	Text (optional)	An order number, purchase invoice, or job ID linking the transaction.

Formulas: The table includes calculated columns:

• =IF(Type="Inbound", Quantity * Unit Cost, 0) — Total value of inbound stock added.
• =IF(Type="Outbound", -Quantity, 0) — Net change in inventory (negative for removal).

Sheet 2: Inventory Summary (Real-Time Stock Levels)

• Table Structure: Dynamic table named InventorySummaryTable
• Columns and Data Types:

Column Name	Data Type	Description
Item ID	Text/Number (linked to Data Entry)	Unique product code.
Description	Text (auto-filled from data)	Description of the item.
Category	Text	The category it belongs to.
Current Stock Level	Numeric (calculated)	Total on hand after summing all transactions.
Reorder Point	Numeric (user-defined)	The minimum level at which a restock is recommended.
Status	Text (calculated)	Auto-filled: "In Stock", "Low Stock", or "Out of Stock".

Formulas:

• =SUMIF(DataEntryTable[Item ID], A2, DataEntryTable[Net Change]) — Calculates current stock level.
• =IF([@Current Stock Level] <= [@Reorder Point], IF([@Current Stock Level] = 0, "Out of Stock", "Low Stock"), "In Stock") — Status logic.
• Conditional Formatting: Applies color coding to the Status column:
  • "Low Stock" → Yellow highlight
  • "Out of Stock" → Red background with white text
  • "In Stock" → Green background (optional)

Sheet 3: Dashboards & Charts (Operations Dashboard)

• Recommended Charts:
• Bar Chart: Top 10 items by current stock level.
• Pie Chart: Percentage of total stock value by category (using unit cost × quantity).
• Line Chart: Monthly trend of inbound and outbound stock volume over time.
• Gauge Chart (using shapes or conditional formatting): Visual indicator for overall inventory health.
• KPI Cards:

KPI Metric	Formula
Total Items in Stock	=SUM(InventorySummaryTable[Current Stock Level])
Number of Items Below Reorder Point	=COUNTIF(InventorySummaryTable[Status], "Low Stock")
Total Value of Inventory ($)	=SUMPRODUCT(InventorySummaryTable[Current Stock Level], InventorySummaryTable[Unit Cost])

Instructions for the User

1. Fill in Data Entry Sheet: Enter daily stock movements with accurate dates, item IDs, quantities, and types.
2. Set Reorder Points: In the Inventory Summary sheet, define appropriate reorder levels for each item based on lead time and usage.
3. Review Status Indicators: Check for yellow (low stock) or red (out of stock) items to trigger restocking.
4. Monitor Dashboard Charts: Use the visualizations to spot trends, identify fast-moving items, and evaluate overall inventory performance monthly.
5. Update Regularly: Maintain this template daily or weekly as part of your operations routine. The real-time updates ensure reliable decision-making.

Example Rows (Data Entry Sheet)

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