A Telegram Mini App for flower write-off tracking across retail locations, with role-based access, fast daily flows, and built-in reporting.
Flower retail teams needed a lightweight way to record write-offs per location without falling back to chats, spreadsheets, and manual recounting.
The goal was not a demo shell, but an operational product that staff could use daily while owners still had clean reporting visibility.
The app uses server-side Telegram init-data verification in Convex, token-hashed sessions, and explicit role boundaries for owner, admin, and staff users.
Write-off events are stored as append-only records, while daily totals are pre-aggregated to keep owner-level reports fast.
The Today screen supports search, one-tap `+1` write-offs, optimistic UI, haptic feedback, and undo for the last action within a 60-second window.
Point invite links, date-based history, day/period reports, and CSV export turn the product into a real operating surface rather than a starter MVP.
Next.js 16, Convex, and Telegram Mini App tooling form the main stack, with shadcn/ui and Tailwind v4 used for the interface layer.
Automated checks cover init-data validation, permissions, invite limits, undo logic, and CSV reporting paths.
The project is still evolving, but it has already crossed the line from scaffold to usable operations product.
Core daily flows, access control, and reporting are already shaped around real point-level usage instead of placeholder functionality.
Telegram-first ergonomics keep the workflow fast on phones, but they also constrain information density and navigation depth.
Auditability and export requirements add data-model discipline, but that tradeoff makes the product safer for day-to-day retail use.
Private / In development
Daily flower write-offs, date-based history, point invite access, role-aware permissions, owner reports, and CSV export.
Through Telegram-authenticated sessions in Convex plus explicit owner, admin, and staff role boundaries tied to store locations.
Because the app already contains production-shaped daily flows, reporting, exports, invite mechanics, and tested permission logic.
VAPARSHOP
Design and engineering portfolio of internal tools, bots, and Telegram commerce flows.
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