Logistics Planning - Inventory Management - Analysis View
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Inventory Management - Analysis View
Logistics Planning | Real-time Inventory Tracking & Forecasting
| Item ID | Product Name | Category | Current Stock | Reorder Level | In-Transit Qty | Last Received Date | Lead Time (Days) | Demand Forecast (Next 30 Days) | Stock Status |
|---|---|---|---|---|---|---|---|---|---|
| INV-00123 | Wireless Headphones Pro | Electronics | 45 | 30 | 120 | 2024-10-15 | 7 | 85 units | |
| INV-04567 | Laptop Stand Adjustable | Furniture & Accessories | 22 | 35 | 0 | 2024-11-08 | 5 | 60 units | |
| INV-89101 | Solar Charger 20W | Electronics Accessories | 56 | 40 | 35 | 2024-11-17 | 8 | 98 units | |
| INV-33456 | Magnetic Phone Mount Kit | Gadgets & Tools | 9 | 20 | 70 | 2024-11-25 | 10 | 38 units | |
| INV-66789 | Silicone Phone Case - Premium Black | Phone Accessories | 124 | 50 | 0 | 2024-11-30 | 3 | 56 units | |
| INV-99887 | Foldable Water Bottle 1L | Gear & Outdoor Supplies | 72 | 60 | 0 | 2024-10-31 | 6 | 89 units | |
| INV-55443 | Cooling Pad for Laptops | Ergonomics & Accessories | 17 | 25 | 0 | 2024-11-09 | 9 | 48 units | |
| INV-23678 | Mechanical Keyboard - RGB Backlit | Computer Peripherals | 150 | 70 | 45 | 2024-11-19 | 4 | 68 units | |
| INV-77665 | Tactical Flashlight 3000 Lumens | Safety & Tools | 43 | 45 |
Last Updated: November 30, 2024 | Data Source: ERP System v3.1
Excel Template for Logistics Planning: Inventory Management (Analysis View)
This comprehensive Excel template is specifically designed for Logistics Planning professionals tasked with effective Inventory Management. Engineered in an Analysis View format, this template enables data-driven decision-making by providing visual insights, real-time performance tracking, and predictive analytics across inventory lifecycle stages. Ideal for supply chain managers, warehouse supervisors, procurement teams, and logistics analysts.
SHEET NAMES
- 1. Inventory Summary Dashboard
- 2. Master Inventory Table
- 3. Order & Replenishment Log
- 4. Lead Time Analysis
- 5. Forecast vs Actual Report
- 6. Supplier Performance Tracker
- 7. Configuration & Settings (Hidden)
TABLE STRUCTURE AND COLUMN DETAILS
Sheet 1: Inventory Summary Dashboard (Analysis View)
This is the primary analytical interface, providing KPIs and visual dashboards.
- KPI Cards: Total Stock Value, Average Stock Level, Inventory Turnover Ratio, On-Time Delivery Rate
- Interactive Charts: Bar chart (Monthly Inventory Levels), Pie chart (Inventory by Category), Line graph (Stock Movement Trends)
Sheet 2: Master Inventory Table
This is the core database for all inventory items.
| Column Name | Data Type | Description & Rules |
|---|---|---|
| Item ID (Unique) | Text/Number (Auto-incremented) | Unique identifier for each inventory item (e.g., INV00123) |
| Item Name | Text | Description of the product or component |
| Category | <List (Dropdown) | E.g., Raw Material, Packaging, Finished Goods, Consumables |
| Unit of Measure (UoM) | List (Dropdown) | Pieces, kg, liters, boxes |
| Current Stock Level | Numeric (Integer/Decimal) | Real-time on-hand quantity |
| Reorder Point (ROP) | <Numeric (Decimal) | Minimum stock level triggering reorder |
| Economic Order Quantity (EOQ) | Numeric (Decimal) | Calculated value for optimal order size |
| Last Updated | <Date/Time | Automatic timestamp on entry modification |
| Status (In Stock / Low Stock / Out of Stock) | Text (Auto-formatted) | Dynamically updated using conditional logic |
| Warehouse Location | List (Dropdown) | Depot A, Depot B, Central Warehouse, Regional Hub|
| Average Daily Usage (ADU) | Numeric (Decimal) | |
| Days of Supply | Numeric (Decimal) | |
| Valuation (Cost per Unit) | Currency (USD, EUR, etc.) | |
| Total Inventory Value | Currency (Auto-calc) | |
| Last Reorder Date | Date/Time (Optional) | |
| Next Forecasted Reorder Date | Date/Time (Auto-calc) |
Sheet 3: Order & Replenishment Log
This sheet tracks all purchase orders, inbound shipments, and internal transfers.
| Order ID | Numeric (Auto-increment) |
|---|---|
| Item ID | Text/Number (Linked to Master Inventory) |
| PO Number | Text (e.g., PO-2024-1089) |
| Date Placed | Date |
| Supplier Name | Text (Auto-fill from Supplier Tracker) |
| Order Quantity | Numeric (Integer/Decimal) |
| Delivery Date Expected | Date |
| Status | List: Pending, In Transit, Delivered, Cancelled, Delayed |
| Actual Delivery Date | Date (Optional) |
| On-Time Delivery Flag | Boolean (Yes/No – Auto-calculated) |
| Difference (Days) | Numeric – Auto-calc: Actual - Expected |
| Notes | Text (Free-form for exceptions or delays) |
Sheet 4: Lead Time Analysis
Analyzes supplier performance in delivery timelines.
| Supplier Name | List from Master Supplier Data |
|---|---|
| Avg. Lead Time (Days) | Numeric – Calculated average of all delivered POs |
| Max Lead Time (Days) | Numeric – MAX value over time period |
| Min Lead Time (Days) | Numeric – MIN value over time period |
| Punctuality Rate (%) | Percentage – % of orders delivered on or before expected date |
| Last 5 Orders Lead Times | List (last 5 entries) |
| Status (Performance Tier) | Text: Gold, Silver, Bronze, Red Flag – based on criteria |
Sheet 5: Forecast vs Actual Report
Enables logistics planners to assess demand forecasting accuracy.
| Month-Year | Date (e.g., Jan-2024) |
|---|---|
| Item ID | Text/Number (linked) |
| Forecasted Demand | Numeric – User or AI-based input |
| Actual Sales/Usage | Numeric – From POS, WMS, or manual entry |
| Variance (Units) | Numeric – Actual - Forecast (auto) |
| Variance (%) | Percentage – Auto-calc: Variance / Forecast × 100 |
| Forecast Accuracy (%) | Percentage – Auto-calc: (1 - |Variance|/Forecast) × 100 |
| Action Required? | Text: Yes / No – Conditional formatting triggers flag if variance > 15% |
Sheet 6: Supplier Performance Tracker
Ranks suppliers based on reliability, cost, and delivery performance.
FORMULAS REQUIRED (Key Examples)
=IF([@Current Stock Level] <= [@Reorder Point], "Low Stock", IF([@Current Stock Level] = 0, "Out of Stock", "In Stock"))=[@Current Stock Level] / [@Average Daily Usage]→ Days of Supply=IF([@Expected Delivery Date] >= [@Actual Delivery Date], "Yes", "No")→ On-Time Flag=COUNTIFS(Orders[Status], "Delivered", Orders[Delivery Date Expected], "<="&TODAY()) / COUNTIF(Orders[Status], "Delivered")→ Punctuality Rate (in Lead Time Analysis)=IF([@Variance (%)] > 15%, "Yes", "No")→ Action Required Flag (Forecast vs Actual)=ROUNDUP((2*[@Annual Demand]*[@Ordering Cost])/[@Holding Cost], 0)→ EOQ Formula (Standard Economic Order Quantity)
CONDITIONAL FORMATTING RULES
- Low Stock: Highlight cells in red if Current Stock ≤ Reorder Point
- Out of Stock: Red fill with white text for zero stock levels
- Variance > 15%: Orange background in Forecast vs Actual sheet
- Punctuality Rate: Color scale from red (low) to green (high)
- Days of Supply: Green (≥30), Yellow (15–29), Red (<15)
INSTRUCTIONS FOR THE USER
- Data Entry: Begin by populating the Master Inventory Table. Use consistent naming and units.
- Cycle Counting: Update Current Stock Level regularly to maintain accuracy.
- Reorder Triggers: When status shows "Low Stock", review the Order & Replenishment Log.
- Dashboards: Monitor the Inventory Summary Dashboard daily for alerts and trends.
- Predictive Planning: Use Forecast vs Actual Report to refine future demand models.
- Schedule Updates: Refresh data monthly or quarterly as per audit cycles.
EXAMPLE ROWS (Sample from Master Inventory Table)
| Item ID | INV00456 |
|---|---|
| Item Name | Solid-State Drive 1TB |
| Category | Finished Goods |
| Unit of Measure (UoM) | Pieces |
| Current Stock Level | 285 |
| Reorder Point (ROP) | 300 |
| Economic Order Quantity (EOQ) | 450 |
| Last Updated | 2024-12-15 14:32:08 |
| Status | Low Stock |
| Warehouse Location | Central Warehouse |
| Average Daily Usage (ADU) | 15.2 |
| Days of Supply | 18.75 |
| Valuation (Cost per Unit) | $98.00 |
| Total Inventory Value | $27,510.00 |
| Last Reorder Date | 2024-11-30 |
| Next Forecasted Reorder Date | 2025-01-15 |
RECOMMENDED CHARTS AND DASHBOARDS (on Dashboard Sheet)
- Inventory Turnover Ratio Trend: Line chart comparing monthly turnover over 12 months.
- Stock Level by Category: Pie or bar chart to identify overstocked or understocked segments.
- Punctuality Rate by Supplier: Horizontal bar chart ranking suppliers on delivery reliability.
- Demand Forecast Accuracy Heatmap: Color-coded grid showing variance across products and time periods.
- Days of Supply vs Reorder Point Comparison: Dual-axis line chart to visualize risk exposure.
This Excel template is a dynamic tool for modern logistics planning, combining robust inventory management logic with intuitive analysis capabilities. By leveraging structured data entry, real-time formulas, and interactive dashboards, organizations can reduce carrying costs, avoid stockouts, and enhance supply chain resilience—fulfilling the core goals of Logistics Planning through precise Inventory Management in a powerful Analysis View.
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