8 automation cases. Numbers, stack, details — no fluff.
We show more than the outcome: the challenge, solution, stack, workflow logic and what can be adapted for your business.
How a boutique owner saved 4 hours daily and increased conversion by 34%
The Instagram clothing shop owner processed up to 80 orders per day manually: replied in DMs, clarified sizes and colors, recorded in spreadsheets, se…
Built a Telegram bot that fully replaced manual processing. The client writes the article and size — the bot checks availability, sends photos, price…
The result depends on the starting process, data quality and the team role after launch.
2 тижні впровадження
How a 500+ SKU seller eliminated manual updates and errors
A seller on Rozetka and Prom.ua with 500+ products updated stock and prices manually twice a day. Orders for out-of-stock items, negative reviews and…
Built an n8n system that syncs stock between the warehouse (Google Sheets) and marketplaces every 30 minutes. Price change in the spreadsheet — automa…
The result depends on the starting process, data quality and the team role after launch.
3 тижні впровадження
Patient scheduling, reminders and FAQ via Telegram bot
The dental clinic administrator spent 5 hours daily on routine calls: scheduling, appointment reminders, answering questions about prices and services…
A Telegram bot that books patients 24/7, sends reminders 24 and 2 hours before the appointment, answers 90% of typical questions. The administrator on…
The result depends on the starting process, data quality and the team role after launch.
2 тижні впровадження
AI system that calculates exact fuel quantity accounting for temperature, density and calibration
The company lost money monthly due to discrepancies in fuel accounting at unloading. Calculations were done manually in Excel accounting for temperatu…
A system that automatically reads parameters (temperature, density, level), applies calibration tables and calculates exact volume. Result — instantly…
The result depends on the starting process, data quality and the team role after launch.
3 тижні впровадження
How a Telegram bot processed 2000+ orders in the first month with zero operators
The food delivery service spent $1500/month on 3 call center operators. Peak hours — queues, complaints, order errors. After 10pm orders were not acce…
Telegram bot with full menu, order acceptance, payment integration and delivery tracking. Operator only needed for non-standard situations.
The result depends on the starting process, data quality and the team role after launch.
3 тижні впровадження
AI assistant answers questions, gives feedback and tracks progress 24/7
The online school teacher spent 5 hours daily answering students and checking homework. 30% of students dropped out due to lack of timely feedback.
GPT-4 based AI assistant that knows the entire course. Answers questions, checks homework against criteria, tracks progress and notifies the teacher a…
The result depends on the starting process, data quality and the team role after launch.
2 тижні впровадження
Auto-qualification, property selection, viewing scheduling
The agent spent 60% of the time on cold clients who were "just looking". Qualification took 30+ minutes per person. Real buyers were waiting.
The bot qualifies the lead with 5 questions (budget, area, type), selects matching properties from the database and offers viewing times. The agent co…
The result depends on the starting process, data quality and the team role after launch.
3 тижні впровадження
AI conducts initial interview and selects top-10% candidates automatically
The recruiter spent 6 hours daily reviewing CVs and conducting initial interviews. 90% of candidates were unsuitable. Time to first offer — 3 weeks.
AI CV screening by criteria + automatic text interview in Telegram. Recruiter receives only top-10% candidates with a ready profile.
The result depends on the starting process, data quality and the team role after launch.
2 тижні впровадження
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