Neural Network for Working with Spreadsheets

Imagine if Excel or Google Sheets were chatting with you as a friendly robot assistant. It not only explains complex formulas but fills entire tables at your request, like a house elf from Hogwarts—only without a magic wand. A spreadsheet neural network will eliminate the most tedious routines and give you time for truly important things. You'll no longer spend hours on copy-paste or deep dives into the Excel manual: just ask your question to the algorithm.

Basic Features

The first thing you want to know: what can this AI do with spreadsheets? In short—a bit of everything, and quickly. Integrating ChatGPT with Excel and Google Sheets turns them into super spreadsheets: the neural network can generate formulas, analyze large data sets, translate text, and automate repetitive tasks. Picture this: you say, "Calculate the sum and average of this column" or "match prices from file A to file B"—and you get ready-made formulas and charts in response.

In addition to standard "business miracles," there are also homey features: the neural network can import and export CSV/XLSX files, parse your text instructions, automatically split text into cells, change styles, fonts, background color, and more. It solves spreadsheet examples on the fly—finds the sum, average, maximum, or minimum, builds a chart. A prompt in natural language—and your task is done. For example, tools like ChatCSV or SheetAI can easily replace Excel for basic operations.

Advanced Tricks

Now, let's go a little deeper. Spreadsheet neural networks are capable of real analytics and forecasting. Whether you want to create a sales report or estimate revenue for the next quarter—modern services do true "financial magic:" they can generate a profit and loss report and forecast cash flow, while marketers get ready analytics for funnel performance, conversions, and LTV. Even complex SaaS metrics (ARR, MRR, churn, cohort analysis) can be visualized by the neural network, gathering data from different sources. Imagine uploading several tables with different KPIs—and getting a consolidated dashboard in just seconds. As a result, a business analyst can dig into the data themselves, without needing a programmer. And for small business owners, an AI assistant helps track finances and inventories without the headache.

Practical Examples

To make it even clearer, imagine you have a messy family budget spreadsheet at home. You ask the AI, "Which expense categories take up the most money?"—and the neural network instantly sorts expenses by category, gives you a brief summary, and even builds a chart. Or take a marketer who needs to quickly see a sales funnel: the AI will pull data from ads and CRM, calculate conversions, and suggest focus areas.

Note: modern neural networks often understand Russian, too! For instance, the Excel Formulizer service responds to the prompt "split 'Name Surname' into columns" with the formula =ARRAYFORMULA(SPLIT(A1, " ")). If you don't know the needed formula—just describe the task in plain language and the bot will find it.

Here’s what it may look like in Google Sheets: you enter the task "maximum value in the column" and the neural network generates the formula =MAX(A:A).

Another example: splitting "Name Surname" into two columns. The bot generates the formula =ARRAYFORMULA(SPLIT(A1, " ")) and automatically fills the cells. So instead of trying to recall the SPLIT and ARRAYFORMULA functions, just explain the task in plain terms—and it’s done.

How to Start and Connect

The best part: you can get started very quickly, almost with no setup. Since May 2024, ChatGPT can connect directly to Google Drive, so you can just upload your tables and ask questions in a chat. Plus, there are ready-made add-ons and plugins for Google Sheets and Excel (GPT for Sheets & Docs, various "formulizers"), which let you access AI without writing a single line of code.

Give it a try! In a Google Sheet, you can enter several requests at once—for example, generating formulas, consolidating data, translating text, or analyzing feedback. If you want even more, there’s the domestic development SheetsGPT, which replies in 8–15 seconds and can work with several tables at once. Tip: state your request clearly, provide context and an example of the result—that way, the neural network will respond as you need.

Play with the Reader

Your move! Open any familiar spreadsheet (a school project, a report, or even a funny CSV) and ask the AI questions: "Show the top 3 products by revenue," "Merge these sheets into one," "Categorize customer feedback." I won’t be surprised if you get perfectly formatted answers in a few seconds. Basically, working with spreadsheets becomes a quest—you formulate a task in plain language, and the neural network clicks the mouse for you.

Conclusion and Tips

A neural network for spreadsheets is like a magic firework that refreshes any business process. The main thing to remember: it’s a tool, not magic. Give it clear "ingredients" (raw data and instructions), check results, and tweak as needed. Gradually make your tasks more complex: go from simple reports and pivots to forecasts, what-if scenarios, and integration with other systems. That’s when you’ll truly see all its capabilities.

The bottom line: new AI tools can do everything—from simple sums to complex formulas, from translating text to building intricate reports. They make spreadsheets smarter and save you time.

Action checklist for you:

1. 1.

   Identify routine tasks in your spreadsheets (sum, filtering, data analytics, etc.)

2. 2.

   Choose an appropriate AI tool (e.g., ChatGPT in Google Sheets, a formulizer, or another service)

3. 3.

   Formulate a clear request (describe the task and specify which columns/data are important)

4. 4.

   Check the result: make sure the formulas and charts are correct

5. 5.

   Integrate the neural network into your business process—use it to your advantage for workflow automation