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Research Management - Product Inventory - Summary View

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

Consumable 30< / td >
Product ID Product Name Category Quantity in Stock Last Updated Status Location
P001 Sample Product A Research Tool 50 2024-06-15
2024-06-14
Sample Product C< /td > Equipment 15< / td > < t d>2024- 06-13 Lab C -08

Research Management Product Inventory - Summary View Template

This Excel template is a specialized Research Management tool designed for organizations, academic institutions, or corporate R&D departments to efficiently track and analyze their internal product inventory. As a Product Inventory system with a Summary View, this template consolidates complex operational data into an intuitive, high-level dashboard that enables decision-makers to monitor research assets without getting lost in granular detail. The template balances comprehensive tracking with usability, making it ideal for executives, project leads, and inventory managers who need rapid insights into the status of research materials, prototypes, reagents, equipment loans, and development-stage products.

Sheet Names

  • Summary Dashboard – Central visualization hub with charts and key performance indicators (KPIs).
  • Inventory Master – Raw data table containing all inventory records.
  • Research Projects – Links inventory items to specific research initiatives.
  • Status Logs – Historical tracking of item status changes (e.g., “Ordered”, “In Lab”, “Disposed”).
  • Reference Data – Lookup tables for categories, vendors, and project codes.

Table Structures & Columns with Data Types

The Inventory Master sheet contains the foundational data. Each row represents a unique research product or material. Key columns include:

Name or description of the item (e.g., “CRISPR-Cas9 Kit v3.1”)
Classification: Reagent, Equipment, Software, Prototype, Consumable.
Tied to an active research initiative.
Current physical or licensed units on hand.
Total allocated across ongoing experiments.
Column NameData TypeDescription
ID NumberText (Auto-generated)Unique alphanumeric code (e.g., RMP-2024-001) for tracking.
Name of ProductText
CategoryList (Dropdown from Reference Data)
Project CodeList (Dropdown from Research Projects)
Quantity AvailableNumber
Quantity ReservedNumber
Last Restocked DateDate
Expiration Date (if applicable)Date or Blank
StatusList: “In Stock”, “Low Stock”, “Out of Stock”, “Under Review”
Vendor / SupplierText (from Reference Data)
Cost per Unit ($)Currency
Total Value ($)Currency (Formula-based)
LocationText
Last Updated ByText (Auto-populated via Excel User Name)
Date Last ModifiedDate/Time (Auto-populated)

Formulas Required

  • Total Value ($) = Quantity Available * Cost per Unit – Automatically calculates inventory value.
  • Status = IF(Quantity Available ≤ 5, “Low Stock”, IF(Quantity Available = 0, “Out of Stock”, “In Stock”)) – Dynamic status indicator based on real-time quantities.
  • Days Until Expiration = IF(ISBLANK([Expiration Date]), "", [Expiration Date] - TODAY()) – Flags items nearing expiry.
  • Total Research Spend by Project = SUMIFS(Total Value, Project Code, [Project Code]) – Aggregates spending per research initiative.
  • Overall Inventory Value = SUM(Total Value) – Appears on Summary Dashboard as a KPI.

Conditional Formatting Rules

  • Red Fill (Expiring in ≤14 days): Applied to Expiration Date column if date is within two weeks of today.
  • Yellow Fill (Low Stock): Applied to Quantity Available if value ≤ 5.
  • Green Fill (In Stock): Applied when Quantity Available > 5 and Status = “In Stock”.
  • Bold Text + Orange Border: Applied to items with total value exceeding $10,000 to highlight high-cost research assets.

Instructions for the User

  1. Begin by populating the Reference Data sheet with your organization’s project codes, vendor lists, and product categories. Use this as a dropdown source in other sheets.
  2. In Inventory Master, add new products using the provided template format. Do not delete or reorder columns.
  3. Update Quantity Available and Reserved fields whenever inventory changes occur (e.g., after receiving shipments or allocating items for experiments).
  4. The Summary Dashboard auto-updates when data in Inventory Master is modified. Refresh formulas if needed using F9.
  5. Use the Status Logs sheet to record key events (e.g., “Item RMP-2024-001 was disposed on 2024-11-15 due to expiry”) for audit purposes.
  6. Do not edit formulas or pivot tables unless you are an advanced user. Backup your file before making structural changes.

Example Rows (Inventory Master)

RMP-2024-001CRISPR-Cas9 Kit v3.1ReagentPJ-NP-789862024-10-152025-03-30In StockSigma-Aldrich$1,250.00$10,000.88Lab B, Shelf 3AJ. Smith 2024-11-26 14:33:57
RMP-2024-055HPLC Column (C18, 5µm)EquipmentPJ-MB-432112024-07-12 In Stock Analytical Tech Inc.$8,500.00 $8,500.00 Core Facility Room 1J. Lee2024-11-26 14:35:22
RMP-2024-998RNA Extraction Kit (Batch #A7)Reagent PJ-NP-789 3 52024-11-102024-12-15Low StockSigma-Aldrich $375.00 $1,125.88 Lab A, Freezer 4M. Chen 2024-11-26 14:36:10

Recommended Charts & Dashboards (Summary View)

The Summary Dashboard includes:

  • Pie Chart: “Inventory by Category” – Shows distribution of Reagents, Equipment, etc., to identify over-reliance on one category.
  • Bar Chart: “Top 10 Most Valuable Research Items” – Highlights high-value assets needing enhanced security or insurance.
  • Line Chart: “Monthly Restocking Trends” – Tracks procurement frequency to optimize ordering cycles.
  • Donut Chart: “Stock Status Distribution” – Visualizes % of items in stock, low, or out-of-stock status for quick health checks.
  • KPI Cards: Total Inventory Value ($), Items Expiring in 30 Days, Average Cost per Unit.

This template transforms raw inventory data into strategic insights for Research Management, ensuring no critical resource is overlooked. By integrating a clean Summary View, it enables efficient oversight of the entire Product Inventory, reducing waste, preventing project delays, and enhancing accountability across research teams.

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