Spot at-risk stock before it runs out
Stock value, turnover, cover and alerts by warehouse, with an ABC analysis of your items.
- Power BI
- Excel / Power Query
The same report, done by hand and then automated. Run the flow, then estimate how much time you could save on your own tasks.
Total: 2 h 55 min every week, or about 137 hours a year.
Assumption: 60% of repetitive tasks can be automated, over 47 working weeks. Indicative estimate, to be refined during the audit.
Demo on sample data. The data is made up; the approach is the one I use on real projects: the same KPIs, the same consistency checks. Typical engagement: an automated weekly operations summary.
Every week, hours go into exports, copy-pasting and emails. This low-value work is also a common source of errors, and the report never looks quite the same twice.
I list the repetitive tasks and how long they take.
I automate first whatever saves the most for the least effort.
A structured tracker, an automatic summary (KPIs, tasks, blockers) and a scheduled send. In your business, every flow is tested on real cases before going live.
Error alerts and documentation to restart a flow.
The report goes out on its own, in the same format, at the same time. The team only has to review it.
If you use Microsoft 365, Power Automate is often already included. n8n can be self-hosted; Make and Zapier are the easiest to pick up. I choose based on your tools.
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