Case Study

Till data automation.

A multi-million pound charitable enterprise recovered around 11.5 working days a year by automating weekly till data processing in Google Sheets.

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The problem

Manual every week

Two staff members spent time every week pulling till data, reformatting it, and loading it into the main tracking spreadsheet by hand.

What we built

Automated in Google Sheets

quickler added automation to process the raw exports and feed the main spreadsheet automatically. Northern Ireland became fully automatic and the Scotland workflow dropped to around twenty minutes weekly.

The numbers

Built in 7 hours

Build time

7 hours

From brief to working automation.

Saves

11.5 days/year

Around 100 minutes recovered every week.

Faster reporting

Need faster reporting?

Get in touch if your team has a repeated report or reporting pack that is still being assembled manually.

Contact

Multi-million pound charitable enterprise

Date: Dec 2025. Build time: 7 hours. Saves: 11.5 days/year.

Two staff members were spending time every week pulling till data, reformatting it, and loading it into the main tracking spreadsheet by hand.

quickler added automation in Google Sheets to process the raw exports and feed the main spreadsheet automatically. Northern Ireland became fully automatic and the Scotland workflow dropped to around twenty minutes weekly.

The result was 100 minutes saved per week, or around 11.5 working days recovered each year.

Need faster reporting?

Get in touch if your team has a repeated report or reporting pack that is still being assembled manually. Contact