Case study: Automating flower delivery via Telegram bots and an administrative dashboard
Context and task
to build a single digital system
Decision
an ecosystem of three Telegram bots and a web-based admin panel
The system covers 100% of the delivery business process.
Solution Architecture
1. Telegram bot for couriers
It completely shuts down the courier's work, from registration to the final report.
What is automated:
registration of couriers with moderation;
order assignment and instant notifications;
acceptance or rejection with indication of the reason;
working with orders "in progress";
completion of delivery with a report (text, photo, PDF);
the history of completed orders.
Result:
2. Telegram bot for customers (stores)
A tool for stores through which orders are created and controlled.
What is automated:
quick store registration;
step-by-step order creation with the ability to skip steps;
view "your" orders with filtering by status;
canceling orders without administrator involvement;
transparent delivery status.
Result:
3. Telegram bot for administrators
Operational control of the system directly from Telegram.
Opportunities:
viewing and filtering orders;
assigning couriers;
status management;
moderation of couriers and stores;
editing data and commenting on orders.
Result:
4. Administrative Panel
A web interface for full system management.
Functionality:
creating, editing, and deleting orders, couriers, and stores;
full control of the order lifecycle;
advanced filtering and fast search;
centralized notifications of all key events.
Result:
Notifications and controls
All key events (new order, registration, status change, delivery result) are automatically dispatched:
in the Telegram notification channel;
to the administrative panel.
No spam: message editing and push-button navigation are used.
Business effect
🔻 Reducing the manual workload on administrators.
, Acceleration of order processing and appointment of couriers.
Fewer errors and lost applications.
, Full transparency of delivery statuses.
Willingness to increase the number of orders without increasing staff.
Result
digitized and automated a key delivery business process
This solution scales easily, adapts to other types of delivery, and lays the foundation for further development: analytics, SLA metrics, automatic order allocation, and the introduction of AI assistants in the future.
If you need a similar result, we know how to implement it.
