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Logistics Planning - Inventory Management - Planning View

Download and customize a free Logistics Planning Inventory Management Planning View Excel template. Perfect for business, legal, and personal use. Editable and ready to boost your productivity.

Logistics Planning - Inventory Management - Planning View

Item ID Item Name Category Current Stock Level Safety Stock Level Reorder Point Lead Time (Days) Planned Order Quantity Forecasted Demand (Next 4 Weeks)
Week 1Week 2Week 3Week 4
A001 Steel Beams - 10ft Construction Materials 250 150 280 7 300
B123 Pallets - Wooden (Standard) Storage Supplies 180 100 225 5 200
C789 Heavy-Duty Gloves (Size L) Personal Protective Equipment 150 80 120 4 130
D456 Wire Rope - 2-inch Diameter Material Handling 95 100 175 9 200

Notes:

  • Reorder Point = Safety Stock + (Average Weekly Demand × Lead Time)
  • Planned Order Quantity is based on forecasted demand and available stock
  • All values are in units unless otherwise specified

Comprehensive Excel Template for Logistics Planning: Inventory Management – Planning View

This specialized Excel template is meticulously designed to support logistics planning through an optimized approach to inventory management. Tailored specifically for supply chain managers, procurement teams, and operations planners, this Planning View interface provides a strategic overview of inventory levels across multiple locations and product lines—enabling proactive decision-making that enhances operational efficiency, reduces carrying costs, and prevents stockouts or overstocking.

Sheet Names

The template includes the following structured sheets to ensure clear separation of data input, calculation logic, visual insights, and planning guidance:

  1. Inventory Master: Central repository for item master data and baseline inventory parameters.
  2. Planning View (Current): The primary dashboard showing real-time or forecasted inventory levels across locations and time periods.
  3. Replenishment Schedule: Dynamic table that calculates reorder points, lead times, and recommended order quantities based on demand forecasts.
  4. Demand Forecasting: Historical data analysis and forecasting engine using moving averages or exponential smoothing methods.
  5. Dashboard & KPIs: Interactive visual dashboard displaying critical performance indicators (KPIs) relevant to logistics planning and inventory health.

Table Structures and Columns

1. Inventory Master Sheet

This is the foundational data table containing all essential product information used throughout the template.

Column Data Type Description
Item ID Text/Number (Unique) Unique identifier for each inventory item.
Description Text Name or description of the product.
Category List (Dropdown) Classification such as "Raw Material", "Finished Goods", "Packaging", etc.
Unit of Measure List (Dropdown)Units like 'Pieces', 'Kg', 'Litre'
Reorder Point (ROP) Numeric (Decimal) Minimum stock level triggering a replenishment action.
Lead Time (Days) Numeric (Integer)Number of days between placing an order and receiving it.
Current Safety Stock Numeric (Decimal) A buffer stock level to mitigate supply variability.
Carrying Cost per Unit/YearNumeric (Currency)Annual cost to store one unit.

2. Planning View (Current) Sheet

This sheet presents a high-level, time-based planning perspective with multi-location inventory visibility.

Column Data Type Description
Item IDText/Number (Linked to Master)Reference to Item ID from Inventory Master.
DescriptionText (Auto-populated via VLOOKUP)Description from master data.
LocationList (Dropdown: Warehouse A, Distribution Hub B, Retail Outlet C)Select location for inventory tracking.
Current On-Hand StockNumeric (Decimal)Real or estimated current stock level.
On-Order QuantityNumeric (Decimal)Quantity already ordered but not yet received.
Total Available StockNumeric (Formula-based)= On-Hand + On-Order. Auto-calculated.
Forecasted Demand (Next 30 Days)Numeric (Decimal)Projected demand based on historical trends.
Days of SupplyNumeric (Formula-based)= Total Available Stock / Average Daily Demand. Shows how many days until stockout if no replenishment occurs.
StatusText (Conditional)Automatically populated: "Normal", "Low Stock", "Critical", or "Overstocked".

3. Replenishment Schedule Sheet

This sheet determines what, when, and how much to order based on demand forecasts and inventory policies.

Td>List (Dropdown)Td>Numeric (Formula-based: EOQ or Fixed Batch Size)
Column Data Type Description
Item IDText/Number (Linked)Unique identifier.
DescriptionText (Auto-fill)
Location
Suggested Order Quantity
Recommended Reorder DateDate (Formula-based: Forecasted Demand + Lead Time Adjustment)
Order StatusList (Pending, Confirmed, Shipped, Delivered)

Formulas Required

  • Total Available Stock: = [On-Hand] + [On-Order]
  • Days of Supply: = [Total Available Stock] / ([Forecasted Demand (Next 30 Days)] / 30)
  • Suggested Order Quantity: Uses Economic Order Quantity (EOQ) formula: √((2 × Annual Demand × Ordering Cost) / Holding Cost per Unit).
  • Status Indicator: =IF([Days of Supply] <= 5, "Critical", IF([Days of Supply] <= 10, "Low Stock", IF([Days of Supply] >= 30, "Overstocked", "Normal")))
  • Recommended Reorder Date: = TODAY() + [Lead Time (Days)] - [Forecast Period]

Conditional Formatting

  • Status Column: Red text for "Critical", yellow for "Low Stock", green for "Normal", and light red fill for "Overstocked".
  • Days of Supply: Color scale from red (low) to green (high).
  • Total Available Stock: Highlight cells below Reorder Point in bold red.

User Instructions

  1. Enter all item data into the Inventory Master sheet first.
  2. In the Planning View (Current), input real-time or estimated inventory levels per location and update forecasted demand weekly.
  3. The template auto-populates descriptions, calculates available stock, and flags low or high inventory levels.
  4. Review the Replenishment Schedule to generate actionable purchase orders based on suggested quantities and reorder dates.
  5. Update historical data in the Demand Forecasting sheet monthly for improved forecast accuracy.
  6. Analyze KPIs in the Dashboard & KPIs sheet to assess overall inventory turnover, carrying costs, and service levels.

Example Rows (Planning View)

Td>Foam Batteries (6V)Td>Distribution Hub BTd>45 Td>20 Td>Solar Panels (15W)Td>Warehouse ATd>8 Td>0 Td>Lithium Packs (4S)Td>Retail Outlet CTd>150 Td>75
Item ID Description Location On-Hand Stock On-Order Quantity Total Available StockForecasted Demand (30D)Days of SupplyStatus
BAT-101 = 45 + 20 = 6580=65/(80/30) ≈ 24.37Normal (Green)
BAT-102 = 8 + 0 = 825=8/(25/30) ≈ 9.6Low Stock (Yellow)
BAT-103 = 22560=225/(60/30) = 112.5Overstocked (Red Background)

Recommended Charts & Dashboards (Dashboard & KPIs Sheet)

  • Inventories by Location: Stacked bar chart comparing stock levels across warehouses.
  • Days of Supply Trend: Line chart tracking average days of supply over time to identify volatility.
  • Status Distribution Pie Chart: Visualize % of items in "Normal", "Low Stock", or "Critical" status.
  • Critical Items Alert List: Table listing all items with status “Critical” for immediate attention.

This Excel template integrates the core principles of Logistics Planning, provides a robust framework for Inventory Management, and presents data in an intuitive Planning View format—making it an essential tool for modern supply chain optimization.

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