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Case Study

Backend Optimization: From 30 Minutes to 3 Minutes per Order

A family-run e-commerce business replaces overloaded Google Sheets formulas with an automated backend — cutting order processing from 30 minutes to 3 minutes.

Backend Optimization: From 30 Minutes to 3 Minutes per Order
01 · Starting Point

Where the time was going.

A family-run business, known for quality and service, had built a loyal community over the years. But as the business grew, data management became the bottleneck.

Everything ran through Google Sheets — with over 30,000 orders and a dense web of formulas, the tool became painfully slow. Every file open took minutes, critical data was hard to access, and error risk climbed with every recalculation.

The biggest challenges

  • Google Sheets maxed out at 30,000+ orders
  • Long load and navigation times from complex formulas
  • Manual data entry for every new order
  • High error risk from constant recalculations
  • Little time left for customer relationships and growth
02 · Implementation

What we built.

After a thorough data audit, we moved the formula logic out of Google Sheets into a powerful backend: data is preprocessed and only then written back to the spreadsheet. The sheet stays lean, while Make.com handles the heavy lifting.

The building blocks

  1. Data audit: mapped critical functions and dependencies
  2. Workflow design: rebuilt the Sheets logic in Make.com
  3. Backend integration: implemented and tested the new logic
  4. Switch to Make.com: offloaded the calculations
  5. Automatic customer tagging and order list maintenance
  6. Data validation: compared old vs. new results
  7. Training and handover to the team
03 · Result

What it delivered.

The impact was immediate: processing time dropped from 30 minutes to 3 minutes per order — manual data entry disappeared entirely. Instead of fighting slow spreadsheets, the team could focus on customers and growth again.

The numbers

Before:

  • ~30 minutes per order
  • Manual data entry
  • Slow, overloaded Google Sheets
  • High error rate

After:

  • ~3 minutes per order
  • Automatic data capture
  • Fast navigation, lean sheet
  • Reliable, scalable processing
04 · What's Next

Where it goes from here.

On this new backend foundation, the business carries its growth without added operational complexity — larger data volumes scale effortlessly.

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