Coffee shop management
Work-time and stock tracking for a coffee shop: staff check in for shifts in a Telegram bot, the manager runs schedules and reminders in a web dashboard.
Service
We build work tools in Telegram: a bot for check-ins and reminders, a Mini App for the catalogue and stock issues, notifications about new enquiries. The messenger is a convenient way in, while data is stored in a system with a manager's web panel. Our basis is the café (bot and Mini App) and the cleaning company (enquiry notifications).
Animation: in a chat on a phone, the bot sends a message with buttons, the person taps a button, and the data flies from the chat to the manager's panel, where a new row appears.
Situations that bring people to us for this service.
People are already in the messenger, and a separate app is one more barrier.
Check-ins and orders are posted to a group, and later nobody can find them.
The manager writes to everyone who forgot to check in or close a shift.
The message arrived but wasn't saved anywhere.
What people do in the bot, what in the Mini App, and what stays in the web panel.
Connection with a code, actions with buttons, your own rota in the bot.
Catalogue search, quantity, unit and photo; today's entry can be cancelled.
The system reminds staff, notifies managers and keeps a notification log.
Messages to staff in the bot, sent from the manager's panel.
Data shared with the bot: rotas, reports, an action log.
An enquiry is stored in the system first and then arrives in Telegram.
The project path
Every step ends with a decision: go on or stop. We don't start the next one until the previous one has given its answer.
You describe the process and what gets in the way. We reply by email with questions and arrange a call.
We study the process with the people who work in it and write down what the system must change and how we will check it.
We build a working prototype of the key scenario to test the idea on real data rather than on polished screens.
We run the system in your real environment with agreed outcome criteria and a deadline. After the pilot we decide together whether to go further.
We bring it to daily use: reliability, access rights, links to other software, documentation, support. Then we develop it based on user feedback.
Systems where we have already done this kind of work.
Data is stored in the system, not in the chat: in the cleaning case study an enquiry is saved to the panel first and only then sent as a notification.
No — just Telegram. Connecting to the bot is a one-off step with a code.
A bot when the actions are simple and the team is already in the messenger. A separate app when you need offline work, scanning or complex screens.
Describe it in a few sentences: how things work today and what gets in the way. We reply by email with questions on the next business day.
Get in touch