How to Create an Inventory Dashboard in Google Sheets with ChatGPT

Cody Schneider

Wrestling with messy spreadsheets to track your inventory is a common headache for any growing business. Making sense of stock levels, reorder points, and total value can feel like a full-time job. With the help of AI, you can turn a basic Google Sheet into a dynamic and custom inventory dashboard. This guide will walk you through setting up your data, prompting ChatGPT for the right formulas, and building a clear, actionable dashboard from scratch.

Why Use Google Sheets and ChatGPT for Inventory Management?

Before splurging on specialized inventory software, a combination of Google Sheets and ChatGPT offers a surprisingly powerful and completely free alternative. Google Sheets is accessible from anywhere and infinitely customizable. You can tailor it to track the exact metrics that matter to your business, without being locked into the rigid structure of a pre-built tool.

The real game-changer is adding ChatGPT to the mix. Instead of spending hours googling complex formula syntax or troubleshooting a broken VLOOKUP, you can simply describe what you need in plain English. ChatGPT acts as a data analyst on demand, generating the precise formulas you need in seconds. This approach is perfect for small businesses, eCommerce store owners, and anyone who wants a lightweight but effective way to get a handle on their stock.

Step 1: Setting up Your Raw Inventory Data

The success of any dashboard depends entirely on the quality and structure of the data behind it. Before you can build charts and highlight key metrics, you need a clean, organized source of truth. Your best practice is to have two separate tabs in your Google Sheet:

  • Data: This is where you'll store your raw inventory information, with one item per row. Think of this as your database.

  • Dashboard: This will be the visually appealing, easy-to-read summary that pulls from your 'Data' tab.

What Your "Data" Tab Should Include

Create a tab named "Data" and set up the following columns. These are the fundamental building blocks for meaningful inventory analysis.

  • Item Name: The name of the product (e.g., "Organic Cotton T-Shirt - Blue").

  • SKU: A unique product identifier. This is critical for accurate tracking.

  • Category: The product category (e.g., "Apparel," "Accessories," "Home Goods").

  • Current Stock: The number of units you currently have on hand.

  • Cost per Item: How much you pay for one unit of the item.

  • Supplier: The vendor you purchase this item from.

  • Reorder Point: The stock level at which you need to reorder to prevent running out.