Logistics Planning - Product Inventory (Manager View) Excel Template

This comprehensive Excel template is specifically designed for logistics planning within supply chain operations, focusing on product inventory management. Tailored for executives and senior managers, this Manager View-oriented template provides an intuitive, data-driven dashboard that enables real-time visibility into inventory levels, order fulfillment status, lead times, and stockout risks. By leveraging advanced Excel functionalities such as conditional formatting, dynamic formulas, and interactive charts, this template transforms raw inventory data into actionable strategic insights.

Sheet Structure

1. Inventory Dashboard (Manager View): The central hub with key performance indicators (KPIs), visual dashboards, and summary metrics.
2. Product Inventory Master: The core data table containing all product information, current stock levels, reorder points, and supplier details.
3. Order History & Fulfillment: Tracks purchase orders (POs), delivery schedules, and fulfillment status with traceability.
4. Forecasting & Replenishment: Contains historical sales data and predictive analytics to support proactive inventory replenishment planning.
5. Data Validation & Setup: A hidden sheet containing lookup tables, formulas for validation rules, and configuration settings.

Table Structures and Column Definitions (Product Inventory Master)

• Automatically calculated via VLOOKUP from Supplier Master.
• Used for inventory valuation and cost tracking.

• Formula: =TODAY()-[Last Received Date]
• Indicates how long since a product was restocked.

• Uses conditional logic to flag status: "In Stock", "Low Stock", "Critical", or "Out of Stock".
• Updated dynamically based on Current Stock vs. Reorder Point.

Formulas Required

• Status Column: =IF([@Current Stock Level]=0, "Out of Stock", IF([@Current Stock Level]<=[@Reorder Point], "Low Stock", IF([@Current Stock Level]<[@Reorder Point]*0.5, "Critical", "In Stock")))
• Days Since Last Received: =TODAY()-[@[Last Received Date]]
• Inventory Valuation (Total Value): =[@[Current Stock Level]] * [@Unit Cost]
• Forecasted Demand (in Forecasting & Replenishment sheet): =FORECAST.LINEAR(TODAY()+30, SalesDataRange, DateRange) — predicts demand for next 30 days.
• Automatic PO Trigger: =IF(AND([@Status]="Low Stock", [@Reorder Point]>[@[Current Stock Level]]), "YES", "NO")

Conditional Formatting

• Status Column: Color-coded with red (Critical), amber (Low Stock), green (In Stock).
• Days Since Last Received: Highlighted in yellow if >30 days, red if >60 days — indicates potential stockout risk.
• Current Stock Level vs. Reorder Point: Conditional formatting bars showing fill proportion relative to ROP.
• Total Inventory Value: Top 10% in red; bottom 20% in blue — helps identify high-value and low-turnover items.

Instructions for the User

1. Data Entry: Populate the Product Inventory Master sheet with accurate product details, stock levels, and supplier information.
2. Daily Updates: Update stock levels after each delivery or dispatch. The template automatically recalculates status and alerts.
3. Purchase Orders: Use the "Order History & Fulfillment" sheet to log new POs and track delivery dates.
4. Fulfillment Monitoring: Review the dashboard for any red alerts indicating critical stock levels or delayed deliveries.
5. Demand Forecasting: Update historical sales data in the "Forecasting & Replenishment" sheet monthly to improve accuracy of future predictions.
6. Review Dashboard: Examine KPIs such as Stockout Rate, Inventory Turnover Ratio, and Average Lead Time for strategic planning.

Example Rows (Product Inventory Master)

Suggested Charts and Dashboards (Inventory Dashboard)

• Stacked Bar Chart: Shows current stock levels by product category.
• Pie Chart: Displays inventory value distribution across categories.
• Gantt-style Timeline (Order History): Visualizes delivery lead times and PO timelines.
• KPI Dashboard: Includes metrics like Total Inventory Value, Stockout Rate (%), Average Lead Time, and Reorder Compliance Rate with trend lines.
• Data-Driven Alerts Panel: Shows red/yellow/green indicators for critical items or delayed shipments.

Conclusion