Logistics Planning - Inventory Management - Dashboard View
Download and customize a free Logistics Planning Inventory Management Dashboard View Excel template. Perfect for business, legal, and personal use. Editable and ready to boost your productivity.
Logistics Planning - Inventory Management Dashboard
Real-Time Overview of Stock Levels, Reorder Alerts & Supply Chain Metrics
| Item ID | Product Name | Category | Current Stock | Reorder Level | Status | Last Updated(YYYY-MM-DD) | Action |
|---|---|---|---|---|---|---|---|
| INV-00123 | Steel Bolts (M8) | Mechanical Supplies | 45 | 60 | Low Stock | 2024-03-15||
| INV-00456 | Packaging Foam Sheets | Shipping Materials | 123 | 80 | Medium Stock | 2024-03-14||
| INV-00789 | Circuit Board Kits | Electronics Components | 287 | 200 | Healthy Stock"2024-03-16|||
| INV-01123 | Plastic Crates (Large) | Packaging Supplies | 59 | 75 | Low Stock"2024-03-13|||
| INV-01456 | Aluminum Frames (X) | Structural Components | 201 | 180 | Medium Stock"2024-03-17|||
| INV-01789 | Insulated Cable Connectors | Electrical Supplies | 943 | 500 | Healthy Stock"2024-03-16|||
| INV-02134 | Foam Padding Rolls (XL) | Protective Materials | 87 | 90 | Low Stock"2024-03-15|||
| INV-02468 | Rubber Gaskets (Set) | Maintenance Supplies | 305 | 250 | Healthy Stock"2024-03-18
Excel Template for Logistics Planning & Inventory Management - Dashboard View
Purpose Overview: Logistics Planning & Inventory Management
This comprehensive Excel template is designed specifically for logistics planning within inventory management systems, providing a centralized dashboard view to optimize supply chain operations. The template supports strategic decision-making by offering real-time visibility into stock levels, reorder points, delivery schedules, and warehouse utilization. It enables businesses to maintain optimal inventory levels while minimizing carrying costs and avoiding stockouts—key objectives in effective logistics planning. With automated tracking and analytics, this tool ensures seamless coordination between procurement, warehousing, transportation logistics, and demand forecasting.
By integrating data from multiple sources such as supplier lead times, historical sales patterns, production schedules, and current inventory levels into a unified Dashboard View, users gain actionable insights. Whether managing a single warehouse or multiple distribution centers across regions, this template scales to meet diverse logistical needs while maintaining consistency in reporting standards.
Sheet Structure & Names
The template consists of five core sheets, each serving a distinct purpose within the logistics and inventory management workflow:
- Dashboard (Main View): The central hub displaying KPIs, performance metrics, and visual charts.
- Inventory Tracking: Detailed table of all inventory items with status, quantity, location, and reorder triggers.
- Supplier & Lead Times: Records supplier information along with average lead times for each product.
- Sales Forecasting & Demand History: Historical sales data used to predict future demand and adjust safety stock levels.
- Reorder Recommendations: Automated calculations identifying items that need reordering based on thresholds and lead time constraints.
Table Structures & Column Definitions
1. Inventory Tracking Sheet
| Column Name | Data Type | Description |
|---|---|---|
| Item ID (Unique) | Text/Number (Primary Key) | Unique identifier for each product. |
| Product Name | Text | Name of the item. |
| Safety Stock Level | Numeric (Decimal) | Minimum stock required to prevent stockouts during lead time. |
| Current Stock Quantity | Numeric (Integer) | Real-time count of available inventory. |
| Warehouse Location | Text | Name or code of the physical storage location. |
| Last Stock Update Date | Date | Date when stock count was last updated. |
| Status (In Stock, Low, Out of Stock) | Text (Dropdown) | Automatically populated based on current quantity vs. safety stock. |
| Last Order Date | Date | Date of the most recent purchase order. |
2. Supplier & Lead Times Sheet
| Column Name | Data Type | Description |
|---|---|---|
| Item ID (Foreign Key) | Text/Number | Links to Inventory Tracking sheet. |
| Supplier Name | Text | Name of the supplier. |
| Contact Email | Email Address (Validation) | Primary contact for procurement. |
| Average Lead Time (Days) | Numeric (Integer) | Typical time from order to delivery in days. |
| Min Order Quantity | Numeric (Integer) | Smallest quantity allowed per order. |
3. Sales Forecasting & Demand History Sheet
| Column Name | Data Type | Description |
|---|---|---|
| Date (Calendar) | Date (Daily) | Day of sales record. |
| Item ID | Text/Number | References inventory item. |
| Daily Sales Volume | Numeric (Integer) | Total units sold on that day. |
| Avg. Daily Demand (Last 30 Days) | Numeric (Decimal) | Automatically calculated moving average. |
4. Reorder Recommendations Sheet
| Column Name | Data Type | Description |
|---|---|---|
| Item ID | Text/Number (Link) | Unique item identifier. |
| Suggested Order Quantity | Numeric (Integer) | Determined by formula: (Forecast Demand × Lead Time) + Safety Stock – Current Stock. |
| Recommended Reorder Date | Date | Based on lead time from last order date. |
| Status (Pending, Ordered, Delivered) | Text (Dropdown) | To track purchase order lifecycle. |
Formulas Required
The template uses several dynamic formulas to enable real-time logistics planning:
=IF([@Current Stock Quantity] < [@Safety Stock Level], "Low", IF([@Current Stock Quantity] = 0, "Out of Stock", "In Stock")): Automatically updates the status column.=ROUNDUP((AVERAGEIFS('Sales Forecasting & Demand History'!D:D, 'Sales Forecasting & Demand History'!B:B, [@Item ID], 'Sales Forecasting & Demand History'!A:A, ">="&TODAY()-30)) * [@Average Lead Time (Days)], 0): Calculates projected demand during lead time.=IF([@Current Stock Quantity] < ([@Safety Stock Level] + [Projected Demand]), ROUNDUP(([@Projected Demand] + [@Safety Stock Level]) - [@Current Stock Quantity], 0), 0): Determines reorder quantity with safety margin.=TODAY() + [@Average Lead Time (Days)]: Suggests when order should arrive.
Conditional Formatting Rules
To enhance visual clarity in the dashboard view:
- Red Fill + Bold Text: Items with Current Stock Quantity ≤ 0 (Out of Stock).
- Yellow Fill: Current Stock Quantity between 1 and Safety Stock Level (Low Inventory).
- Green Fill: Current Stock ≥ Safety Stock Level.
- Data Bars: Applied to the "Current Stock Quantity" column for visual comparison across items.
User Instructions
- Enter new inventory items in the "Inventory Tracking" sheet using unique Item IDs.
- Populate the "Supplier & Lead Times" sheet with reliable supplier data to ensure accurate forecasting.
- Update daily sales entries in the "Sales Forecasting & Demand History" tab (at least weekly).
- The "Reorder Recommendations" tab will auto-calculate order suggestions based on formulas.
- Use the Dashboard for monthly review: monitor KPIs such as Stockout Rate, Inventory Turnover, and Order Accuracy.
Example Rows
| Item ID | Product Name | Safety Stock Level | Current Stock Quantity |
|---|---|---|---|
| P1001 | Laptop Model X300 | 50 | 23 (Low) |
| P2547 | USB Cable - 3ft | 200 | 185 (Low) |
| P9999 | Mechanical Keyboard RGB | 30 | 75 (In Stock) |
The dashboard highlights P1001 and P2547 in yellow due to low stock, suggesting immediate action.
Recommended Charts & Dashboard Components
- Bar Chart: "Current Stock vs. Safety Stock" for all items (from Inventory Tracking).
- Pie Chart: "Inventory Status Distribution" (In Stock / Low / Out of Stock).
- Line Graph: "Daily Sales Trend (Last 30 Days)" to identify seasonal patterns.
- Gauge Chart: "Current Inventory Turnover Ratio" with target benchmark.
- KPI Cards: Display total stock value, number of low-stock items, and upcoming reorder dates.
All charts are linked dynamically to source data, updating automatically when new entries are added. The dashboard provides a holistic view of the entire logistics pipeline—critical for proactive logistics planning and efficient inventory management.
⬇️ Download as Excel✏️ Edit online as ExcelCreate your own Excel template with our GoGPT AI prompt:
GoGPT