Excel Template: Logistics Planning - Product Inventory (Data Version)

Purpose: This Excel template is specifically designed for Logistics Planning, enabling businesses to manage and optimize their Product Inventory across supply chain operations. Tailored for data-driven decision-making, this Data Version of the template emphasizes accuracy, real-time tracking, scalability, and analytical capabilities to support strategic inventory control.

SHEET NAMES AND STRUCTURE

1. Inventory Master List: Centralized database containing all product SKUs, quantities on hand, reorder points, and critical logistics data.
2. Order History & Forecasting: Tracks past purchase orders, supplier deliveries, and enables demand forecasting using historical trends.
3. Demand & Replenishment Dashboard: A dynamic visualization hub showing inventory health, forecasted needs, and automated alerts.
4. Data Validation & Audit Log: Ensures data integrity by logging changes, validating inputs, and tracking user activity for compliance and auditing purposes.

TABLE STRUCTURE AND COLUMNS (Inventory Master List)

FORMULAS REQUIRED

• Status Automation: =IF([@Current Stock Level] <= [@Reorder Point], "Low Stock", IF([@Current Stock Level] = 0, "Out of Stock", "In Stock"))
• Next Expected Arrival: =IF([@Last Received Date]="", "", [@Last Received Date] + [@Lead Time])
• Days Until Next Arrival: =IF([@Next Expected Arrival]="", "", [@Next Expected Arrival] - TODAY())
• Forecasted Demand (30-day): Used in the Order History sheet: =AVERAGEIFS(Quantity, Date, ">="&TODAY()-30, Product ID, [@Product ID])
• Reorder Quantity (Economic Order Quantity - EOQ): =SQRT((2*Annual Demand*Order Cost)/Holding Cost), where inputs are derived from historical data.

CONDITIONAL FORMATTING

• Low Stock Alerts: Highlight cells in red if Status is "Low Stock".
• Out of Stock Warning: Apply bold red text and yellow background for "Out of Stock" items.
• Danger Zone (Days Until Arrival): If Days Until Next Arrival ≤ 3, format with a red border and flashing icon.
• Trend Indicators: Use color scales in the Forecasting sheet to visualize demand spikes or drops over time.

INSTRUCTIONS FOR THE USER

1. Populate Inventory Master List: Enter all product details manually or import via CSV. Ensure unique SKUs.
2. Update Stock Levels: After receiving shipments, update the "Current Stock Level" and "Last Received Date".
3. Add New Orders: Use the Order History sheet to log purchase orders. The template auto-calculates next arrival dates.
4. Review Dashboard: Check the Demand & Replenishment Dashboard daily for alerts, reorder recommendations, and forecast accuracy.
5. Audit Data: Use the Data Validation sheet to track who made changes and when. Enable data validation rules to prevent invalid entries.
6. Run Forecasting: Refresh the forecasting tables monthly using historical order data. Adjust lead times based on supplier performance.

EXAMPLE ROWS

RECOMMENDED CHARTS AND DASHBOARDS (Demand & Replenishment Dashboard)

• Inventor Turnover Rate: Pie chart showing stock category distribution.
• Stock Status Overview: Bar chart displaying counts of "In Stock", "Low Stock", and "Out of Stock" items by category.
• Demand Trend Forecast: Line graph comparing actual vs. forecasted demand over the past 6 months.
• Reorder Alerts Heatmap: Color-coded table highlighting products needing immediate attention (e.g., low stock + short lead time).
• Predictive Replenishment Timeline: Gantt-style chart showing expected delivery dates vs. current inventory levels.

This Data Version template ensures that logistics planners have a scalable, accurate, and future-ready system for managing product inventory. By combining structured data entry, automated calculations, dynamic visualizations, and audit trails, this template supports efficient decision-making in complex supply chains—making it an essential tool in modern Logistics Planning.