DukaanFlow AI: A Local-First AI Order Desk for Tiffin Sellers
Описание и применение
DukaanFlow AI – локальная система обработки заказов для небольших тиффин‑сервисов, использующая локальный ИИ для интерпретации запросов клиентов и подтверждения важных изменений продавцом.
Задача
Small tiffin services and home‑food businesses receive customer requests via WhatsApp and phone calls; manual handling of daily changes can cause mistakes, especially when customers modify or cancel parts of a subscription.
Результат
The prototype demonstrates a local‑first AI order desk that reduces manual order‑management work for small food sellers, with a live demo and open‑source code available.
Рабочий процесс
- Receive customer request via WhatsApp or phone
- Parse request with local AI (Ollama + Qwen2.5 1.5B)
- Apply rule‑based fallback if AI confidence is low
- Generate proposed order action
- Present action to seller for confirmation
- Apply confirmed changes to order system
Доказательства
DukaanFlow AI explores how AI can help sellers interpret requests such as: "Please skip tomorrow's lunch."
The goal is to help turn natural-language messages into structured order actions while keeping the seller in control. Important changes should be reviewed before they are applied.
DukaanFlow AI explores a local-first AI architecture using: Ollama to run a language model locally, Qwen2.5 1.5B for local natural-language interpretation, Rule-based fallback handling, Seller confirmation before important order changes, GitHub Pages to deploy the public demo website.
- Дата записи: 2026-10-16T07:41:34.373Z