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Inventory Control - Stock Control - Planning View

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

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INVENTORY CONTROL - STOCK CONTROL PLANNING VIEW
Item ID Item Name Category Unit of Measure Total Stock (Units) Safety Stock (Units) Reorder Point In Transit (Units) In Production (Units) Available for Sale Last Updated
INV001 Steel Beam - 2m Metal Components Units 450 100 150 35 20 395 2024-12-17 14:30
INV008 Electrical Connector Kit Electronics Packs 720 150 200 48 12 550 2024-12-17 13:55
INV033 Plywood Sheet (4x8ft) Wood Products Sheets 620 120
This report is generated automatically. Last refresh: December 17, 2024 at 14:35.

Comprehensive Excel Template for Inventory Control - Stock Control Planning View

Purpose: This Excel template is specifically designed for effective Inventory Control and Stock Control, offering a strategic, forward-looking perspective through the "Planning View" methodology. It enables businesses to monitor, forecast, and manage inventory levels proactively by integrating historical data with future planning needs. Ideal for manufacturing firms, retail chains, wholesale distributors, and supply chain managers.

Overview

This Excel template combines robust data management with predictive analytics to support long-term inventory strategy. The "Planning View" emphasizes future demand forecasting, reorder planning, and safety stock calculations—key components in modern Stock Control. By organizing information across multiple structured sheets, users gain a holistic view of current stock status and future requirements.

Sheet Names & Structure

  • Main Inventory Planning: Core sheet for daily planning, forecasting, and real-time updates.
  • Product Master List: Central repository for product details and attributes.
  • Demand Forecasting & Historical Trends: Analytical sheet for tracking past sales patterns and projecting future demand.
  • Safety Stock Calculator: Automated tool to determine optimal safety stock levels based on lead time and variability.
  • Dashboard Summary (KPIs): Visual summary of key performance indicators with interactive charts.

Table Structures and Columns

1. Main Inventory Planning Sheet

Column Name Data Type Description & Use Case
Item ID Text / Number (Unique) Unique identifier for each product (e.g., PROD001).
Product Name Text Name of the item.
Category Text (Dropdown) Categorize items (e.g., Electronics, Clothing, Raw Materials).
Current Stock Level Numeric (Decimal) Real-time physical inventory count.
Minimum Stock Threshold Numeric (Decimal) The lowest acceptable stock level before reordering.
Safety Stock Level Numeric (Decimal) Pre-calculated buffer stock to prevent shortages.
Reorder Point (ROP) Numeric (Decimal) = MIN(Stock Threshold) + Safety Stock. Triggers reorder alerts.
Lead Time (Days) Numeric (Integer) Average number of days from order placement to delivery.
Forecasted Demand (Next 30 Days) Numeric (Decimal) Projected sales based on historical data and trends.
Recommended Order Quantity Numeric (Decimal) = MAX(0, Forecasted Demand - Current Stock + Safety Stock).
Order Status Text (Dropdown: Pending, Placed, Received, Cancelled) Status of the last or current order.

2. Product Master List Sheet

This sheet contains static product data used to populate dropdowns and formulas in the planning view.

< td>Numeric (Currency)Sales price per unit.< td>Text< td >e.g., pcs, kg, liters
Column Name Data Type Description
Item IDText/Number (Unique)Primary key.
Product NameTextName of product.
Selling Price
Unit of Measure (UoM)

Formulas Required

  • Reorder Point (ROP): = MIN(Stock Threshold) + Safety Stock (calculated on another sheet).
  • Recommended Order Quantity: = MAX(0, Forecasted Demand - Current Stock + Safety Stock)
  • Safety Stock Level: = NORM.INV(0.95, Average Daily Demand * Lead Time, Standard Deviation of Demand * SQRT(Lead Time))
  • Stock Status Indicator: = IF(Current Stock <= Reorder Point, "REORDER", IF(Current Stock <= Minimum Threshold, "LOW", "OK"))
  • Demand Forecast (30-Day): = AVERAGE(Last 6 Months Demand) * (30/30) with seasonal adjustment factor.

Conditional Formatting Rules

  • Red Fill: If Current Stock ≤ Reorder Point → alerts user to reorder.
  • Yellow Fill: If Current Stock ≤ Minimum Threshold but > Reorder Point → low stock warning.
  • Green Fill: If Current Stock > Reorder Point → satisfactory inventory level.
  • Data Bars: Applied to "Forecasted Demand" and "Recommended Order Quantity" columns for visual trend comparison.

User Instructions

  1. Begin by populating the "Product Master List" with all relevant products.
  2. Enter current stock counts in the "Main Inventory Planning" sheet weekly or after physical counts.
  3. Update the "Demand Forecasting & Historical Trends" sheet monthly with actual sales data to refine predictions.
  4. The template auto-calculates safety stock and reorder points. Review these values quarterly for accuracy.
  5. Use the "Recommended Order Quantity" column to generate purchase orders—ensure suppliers are notified in time based on lead time.
  6. Regularly review the "Dashboard Summary" for KPIs like inventory turnover ratio, stockout rate, and carrying cost efficiency.

Example Rows

< td >42 < td >70 < td >38
Item IDProduct NameCurrent Stock LevelReorder PointSuggested Order Qty
PEN001Gel Pen (Black)8512035
BLK023Metal Box – Large
PAD019Sticky Pad (A4)506515

Recommended Charts & Dashboard Features

  • Inventories by Category (Pie Chart): Visualize stock distribution across product lines.
  • Trend Line: Monthly Stock Levels vs. Sales: Compare inventory changes against demand fluctuations.
  • Stock Health Gauge (Circular Indicator): Show % of items below reorder point.
  • Barchart: Top 10 Items by Forecasted Demand: Prioritize planning for high-velocity products.

This comprehensive Inventory Control, Stock Control, and Planning View Excel template streamlines supply chain operations, reduces overstocking and stockouts, and supports data-driven decision-making. By integrating advanced formulas with visual analytics, it empowers organizations to maintain optimal inventory levels while improving efficiency and customer satisfaction.

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