How We Run 3 Brands With 2 People

"How many employees do you have?" We get that question a lot. The answer usually surprises people: two. For three ecommerce brands plus Flowhouse.

The starting point

Before I explain the how, here's the why. When we started nano., it was clear we did not want to build a classic company with 20 employees. We wanted freedom, without stepping into a new hamster wheel.

Where we are today:

• nano. Die Zahnbürste (nanozahnbuerste.de)
• mate (matebrush.de)
• MUSTAX (mustax.de)
• Plus: Flowhouse as an agency

The team: Mert and me. That's it.

How is that possible?

Short answer: automation. The kind that is actually thought through, rather than whatever a tool vendor is trying to sell you. Which 5 processes give you the biggest lever is covered in this article.

What we do NOT do

• Answer emails every day (AI handles it, around 65 % of requests run without us)
• Send orders to the fulfiller manually (runs automatically)
• Copy and paste tracking numbers (automatic)
• Write product descriptions by hand (AI plus templates)
• Reconcile inventory between channels (automatic, the setup is here: multichannel inventory management)
• Build weekly reports (they land in Slack on their own)

What we very much do

• Strategy and product development
• Marketing concepts (execution is often automated)
• Customer relationships in the cases that matter
• Building and improving the automations themselves

Our tech stack

Here's our setup:

Core:

• Shopify for all brands
• n8n as the automation hub (self-hosted, why we skipped cloud is in n8n self-hosting vs cloud)
• Slack for all notifications

For customer communication:

• Gmail plus AI triage
• Templates for 80% of replies
• Escalation only for real problems

For operations:

• Direct connection to fulfiller APIs
• Automatic inventory sync
• Returns workflow fully automated

The numbers

Let me get concrete:

That is not a marketing promise. Those are our real numbers. Across all processes we save 33-46 hours per week.

A day with us, concretely

So this doesn't stay abstract, here's what a normal Tuesday looks like.

At 8 in the morning the report sits in Slack. Yesterday's revenue, return rate, inventory across all three brands. Reading it takes 5 minutes.

Then a look at the support queue. Of roughly 30 requests overnight, the AI answered 20 itself, drafted 7, escalated 3. We handle the 3 ourselves and give the 7 drafts a quick check. 45 minutes, done.

Orders? Running. We only see them when Slack flags an edge case, an implausible address for instance. The rest of the day belongs to product development, marketing and Flowhouse clients.

The uncomfortable truth

Here's what nobody tells you: the build took time. We did not work this way from day 1.

The first 2 years were classic hustle. Only then did we start automating systematically. Workflow by workflow. Process by process.

Today? Today we can go on holiday for 3 weeks and the brands keep running. We still work. We stopped working on the wrong things.

Key learnings

1. Automate only once you understand the process. Otherwise you automate chaos.

2. Start with the biggest time sink. For us that was order handling.

3. Build modular. Every automation should work independently.

4. Monitor everything. Automation does not mean "forget about it". It means "supervise instead of execute".

Who does this work for?

It doesn't work for everyone.

Works well for:

• Product brands with clear, repeatable processes
• Founders willing to invest time upfront
• Businesses that want to scale without proportionally more headcount (more on that: scaling without a support team)

Doesn't work for:

• Highly individual services
• Anyone without 2-3 months of setup time
• Anyone who wants to use "automation" as an excuse for bad service

Conclusion

Three brands, two people is the result of 3 years of systematic work on automating the right things. There's no magic in it.

If you have similar goals, write to me. No pitch, just an exchange.

→ damian@flowhouse.ai or straight through our contact form