I saw industry from the inside, then wrote its software
I started as an electrical officer at sea, then came ashore into industry: production planning at Avery Dennison, quality at Arçelik. I ran my own wholesale and retail business for six years. Today I am a shareholder and business development manager at Siam Group, running global operations for five pet-care brands.
Different stops, one thing in common: I always saw the process from the inside. The shift, the supply chain, the quality record, the order flow — not through a report, but as the person responsible.
Across all of it I kept seeing the same thing: companies with good products stall because they cannot see their own processes.
My master's thesis went after exactly that — digital transformation and agility in manufacturing. I ran a field study across five industrial zones in Turkey's Trakya region with 45 company representatives, talking one to one with engineers, supervisors and managers.
What stayed with me was not a conclusion but a method: ask the person who runs the process every day.
Then I started writing the code
For the past eighteen months I have been building products with AI. I came to software from the operating side: I saw the need in an operation I was responsible for, and built the tool afterwards. They all point at the same place — small and mid-sized businesses with heavy processes, real regulation, and software that always got postponed.
- SRCAI
- A multi-tenant management platform for driving schools and vocational training centres. The project I have worked on longest; it runs at srcai.com.tr.
- IEGuard
- Risk analysis and strategy suggestions for manufacturing SMEs with a strong product range that have not yet opened up to export.
- iegrd.com (opens in a new tab)
- CommerceWard
- Connects to Trendyol, Hepsiburada, Amazon and its own storefront over their APIs and runs trade end to end. Four specialist AI agents handle listing, pricing, content and advertising. A policy engine sits above them: prices cannot go below the floor, high-risk actions drop into a human approval queue, and no agent except support can touch personal data. Every step is written to an audit trail — automation, yes; loss of control, no.
- beatnesty.com (opens in a new tab)
- Petpood
- Where CommerceWard runs on a real operation — my own pet e-commerce business. I test the engine in a business whose invoices land on my desk, not in a demo.
- petpood.com (opens in a new tab)
How I work
- I ask the person who runs the process.
- That was the method in my field research: 45 companies, one-to-one interviews. I design at the desk of the person doing the work, not in the meeting room.
- I run it in my own business first.
- Petpood runs my own pet operation. Before I recommend a tool to anyone else, it has already run in a business whose invoices land on my desk.
- I take it to production and keep it there.
- A working prototype proves nothing. Everything above is live on its own domain and maintained by me.
- Compliance and accessibility are not bolted on.
- Training records for SRC and ADR are regulated; data protection sits in the architecture from day one. This site makes zero third-party requests and sets no cookies — the proof is the page you are reading.