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Data Collection - Stock Control - Data Version

Download and customize a free Data Collection Stock Control Data Version Excel template. Perfect for business, legal, and personal use. Editable and ready to boost your productivity.

STOCK CONTROL - DATA VERSION TEMPLATE
Item ID Item Name Category Description Current Stock Level Reorder Level Last Updated Date Status (In/Out of Stock)
STK001 Wireless Mouse Electronics 2.4GHz, USB Receiver, Black 45 10 2025-04-01 In Stock
STK002 Laptop Stand Furniture Adjustable Height, Aluminum Alloy Frame 7 5 2025-04-01 Low Stock Alert
STK003 Office Chair Furniture Ergonomic Design, Breathable Mesh Back, Black 12 8 2025-03-28 In Stock

Excel Template for Data Collection in Stock Control – Data Version

Purpose: This Excel template is designed specifically for Data Collection within a Stock Control system, utilizing a structured approach to manage inventory levels, monitor stock movement, and track updates through different Data Versions. It ensures accuracy, traceability, and consistency when collecting and managing real-time inventory data across multiple locations or departments.

Template Type: Stock Control — with strong emphasis on versioned data collection to support audit trails, historical tracking, and change management.

Style/Version: Data Version – This template incorporates a robust system of versioning each data entry or batch update, allowing users to identify what changes were made when and by whom. This is critical for compliance, reconciliation, and reporting purposes.

Sheet Names

  • Inventory Master: Centralized database containing all stock items with detailed attributes.
  • Data Version Log: Tracks every version update to the inventory data (e.g., date, user, description of changes).
  • Daily Stock Entry: Form for collecting new or updated stock records on a daily basis.
  • Dashboard: Summary view with charts, KPIs, and key alerts based on current data.
  • Reports (Historical): Pre-built reports to compare performance across different Data Versions.

Table Structures & Column Definitions

1. Inventory Master (Primary Table)

This is the core of the system—a dynamic table that maintains all current stock records.

| Column Name | Data Type | Description | |-------------|-----------|-----------| | Item ID | Text/Unique Key (e.g., "ITM-001") | Unique identifier for each inventory item. Must be unique. | | Item Name | Text (Max 50 chars) | Full name or description of the item. | | Category | Dropdown (List: Electronics, Office Supplies, Raw Materials, etc.) | Grouping for reporting and filtering purposes. | | Unit of Measure (UoM) | Dropdown (e.g., Units, Pounds, Meters) | Standard measure used for stock count. | | Current Stock Level | Number (Integer or Decimal) | Real-time count of available units in stock. | | Reorder Point | Number (Integer) | Threshold at which a restock alert is triggered. | | Safety Stock Level | Number (Integer) | Minimum buffer stock to prevent shortages. | | Last Updated Date | Date & Time (Automated) | Timestamp of last update via data collection form. | | Data Version ID | Text (Auto-generated from log) | Links entry to a specific Data Version record. |

2. Data Version Log

This table maintains a complete audit trail of all data changes.

| Column Name | Data Type | Description | |-------------|-----------|-----------| | Version ID | Text (e.g., "V2024-10-05-A") | Unique identifier for each version. Automatically generated using date + sequence. | | Date Created | Date & Time (Auto-filled) | When the version was saved. | | User Name | Text (From form input) | Who initiated the data collection or update. | | Changes Made | Long Text (Optional) | Description of updates: “Added 50 units of Item A”, “Updated category for Item Z”. | | Source Document/Entry Ref | Text (Optional) | Link to a purchase order, delivery note, or inventory count sheet. |

3. Daily Stock Entry

This is the input form for data collection. Users fill this sheet daily or after any stock transaction.

| Column Name | Data Type & Constraint | Description | |-------------|------------------------|-----------| | Version ID (Auto) | Text, Formula-Generated | Auto-populates from latest version in Log. | | Item ID (Lookup) | Dropdown + Data Validation (from Inventory Master) | Prevents errors via lookup from master table. | | Transaction Type | Dropdown: "Add Stock", "Remove Stock", "Adjustment" | Defines the nature of the entry. | | Quantity Change | Number (Positive/Negative) | Amount to add or remove from stock. | | Reason for Change | Text (Max 100 chars) | Example: “New shipment received”, “Damaged goods removed”. | | Date of Transaction | Date (Required) | When the event occurred. | | Entered By | Text (Default: User's name, can be auto-filled via Excel settings or manual entry). |

Formulas Required

  • =TEXT(NOW(), "YYYY-MM-DD-HH-MM") & "-" & COUNTA(DataVersionLog[Version ID])+1 → Auto-generates Version ID.
  • =VLOOKUP(ItemID, InventoryMaster, 4, FALSE) → Pulls UoM from Master table.
  • =IF(AND(CurrentStockLevel <= ReorderPoint, CurrentStockLevel > 0), "Reorder Needed", IF(CurrentStockLevel = 0, "Out of Stock", "Normal")) → Status indicator for stock levels.
  • =SUMIFS(DailyStockEntry[Quantity Change], DailyStockEntry[Item ID], InventoryMaster[@Item ID]) → Aggregates changes to calculate current stock dynamically.
  • =MAX(DataVersionLog[Date Created]) → Tracks the latest version date for audit purposes.

Conditional Formatting Rules

  • Out of Stock: If Current Stock Level = 0, highlight cell in red with white text.
  • Below Reorder Point: If current stock < reorder point, highlight in yellow.
  • New Version Entry: Highlight new rows in the Daily Stock Entry sheet with green if the version ID matches today’s latest version.
  • Status Column: Use color scales (Green → Yellow → Red) based on stock level status (Normal / Reorder Needed / Out of Stock).

Instructions for the User

  1. Open the template and enable macros if prompted (required for auto-versioning and validation).
  2. Begin data collection by entering records in the Daily Stock Entry sheet.
  3. Select an existing Item ID from the dropdown or add a new one (which will be added to the Inventory Master on save).
  4. Fill in all required fields: Quantity Change, Reason, Transaction Type, Date.
  5. Click "Submit & Update" button (macro-enabled) to save changes. This will automatically:
    • Create a new Data Version entry
    • Update the Inventory Master table with recalculated stock levels
    • Apply conditional formatting for alerts
  6. To view historical trends, navigate to the Dashboard or Reports sheet.
  7. Always export a copy before major updates (e.g., end of month) as a new Data Version backup.

Example Rows (Sample Data)

Daily Stock Entry Example

| Version ID | Item ID | Transaction Type | Quantity Change | Reason for Change | Date of Transaction | |------------|---------|------------------|-----------------|----------------------------|----------------------| | V2024-10-05-A | ITM-012 | Add Stock | 75 | New shipment received | 10/5/2024 |

Inventory Master (Post-update)

| Item ID | Item Name | Category | UoM | Current Stock Level | |---------|-----------------|-----------------|-------|----------------------| | ITM-012 | Wireless Mouse | Electronics | Units | 87 |

Recommended Charts & Dashboards

  • Stock Level Trends by Category: Line chart showing stock levels over time across categories (from Dashboard).
  • Top 5 Low-Stock Items: Bar chart highlighting items below reorder point.
  • Data Version Timeline: Gantt-style timeline showing when each version was created and by whom.
  • Transaction Volume per Day: Column chart to analyze daily data entry frequency for validation purposes.

This Excel template integrates robust Data Collection, comprehensive Stock Control, and a systematic approach to managing multiple Data Versions. It is ideal for small-to-medium businesses, warehouses, retail outlets, or any organization that needs to maintain accurate inventory records with traceable updates. By ensuring every data change is versioned and auditable, this template supports compliance, reduces errors, and enables intelligent decision-making.

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