OrderSift turns messy customer messages into orders you can actually act on

说明与用途

OrderSift 将混乱的客户消息转换为结构化订单，自动提取细节、价格和过敏警告，并可本地存储并同步到云端。

问题

Small food and craft businesses receive orders via WhatsApp, Instagram DMs, texts, and emails, each written differently, making manual extraction of order details time‑consuming and error‑prone.

结果

OrderSift reduces manual order entry time, eliminates missed allergy notes, and provides a privacy‑conscious, local‑first workflow with optional cloud sync.

工作流

• Paste or paste a chat message into OrderSift
• The app runs an open‑weight LLM to extract structured data
• The extracted data is normalized and matched against the merchant’s catalog for pricing and allergens
• Missing required fields are flagged and a follow‑up message template is generated
• The order is saved locally in IndexedDB and optionally synced to Tiger Cloud
• The merchant reviews, confirms, and updates order status in the local ledger

证据

Orders arrive as WhatsApp messages, Instagram DMs, texts, and emails, and every one is written differently.

来源

You paste the message into OrderSift and get back an editable order card: ...

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The app extracts structured order data from messy, real‑world messages

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Saved orders live in the browser's IndexedDB via Dexie

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