eRENTAL
A film-and-photo rental was losing hours tracking 399 items on someone else's SaaS. We built the platform to fit: date-first booking with real availability, an AI assistant adding gear in three clicks.
I find where a business leaks time and money, then build the system to fix it — research, analytics, automation, cataloguing, decision support. AI goes in only where it genuinely speeds things up, not for its own sake. One operator, diagnosis to a running, supported system.
Below is the real range I build to fit the task.
A film-and-photo rental was losing hours tracking 399 items on someone else's SaaS. We built the platform to fit: date-first booking with real availability, an AI assistant adding gear in three clicks.
An importer priced US cars across five countries by hand; one slip ate the margin. We built an engine: duty, excise, VAT and shipping in one calculation, Telegram bot and web app.
Open-internet access meant blocks and a clunky sign-up. We built the VPN end to end: message the bot, connect in ten seconds, no registration, email or cards, on DPI-resistant VLESS + Reality.
We find the leaks, decide what's worth systematizing, and where a spreadsheet is the honest answer.
Deep research — market, competitors, your own data — turned into analysis you can act on.
How the system is shaped and where AI sits, every decision on paper before any code.
Built and shipped, from a landing page to a full platform, end to end, one operator.
Moving the system into the business: integration, data migrated, team walked through until it's simply normal.
The system keeps running and growing: monitoring, backups, one-command rollback, new features. This stage never closes.
A baseline engineering standard — not an add-on, part of every build.