GCGaurav ChoudharyThe story · chapter 11
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11
Automation

Spreadsheets eventually started writing their own work.

Google Apps Script was the bridge from advanced spreadsheet use into programming.

Scale / context
Automation replaced repeated manual catalog and SEO operations before the move into larger Python applications.

When bulk ecommerce workflows became repetitive, Apps Script became a way to transform data, call APIs, generate fields and automate work directly around Google Sheets.

The first programmable workflows

Apps Script changed the spreadsheet from a place where work was stored into a place where work could execute. Repetitive transformations, field generation and API-driven tasks could be turned into buttons, menus and repeatable processes.

Because these automations were built around real catalog files, they also taught an important engineering lesson: automation must protect existing good data and fail safely.

The limits became useful

As files and workflows grew, Apps Script limits became a signal that some jobs needed a different architecture. Long-running jobs, model calls, resumability and large batch processing were easier to control outside the spreadsheet.

That pressure pushed the next step: Python applications designed specifically around ecommerce data.

Related parts of the journey
Owned commerce · Chapter 09Marketplaces led to owned storefronts.Shopify and WordPress created more control — and a new set of technical problems to solve.Demand generation · Chapter 10Building the store was only half the job.Google Ads, Shopping, Merchant Center, Amazon PPC and SEO connected technical quality to revenue.Software builder · Chapter 12The spreadsheet became an application.Python turned internal ecommerce know-how into reusable tools.Production systems · Chapter 13Building software meant learning where it runs.Ubuntu, Docker, Coolify, PM2, databases, DNS and Cloudflare became part of the operating job.

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