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

Description and use

OrderSift turns messy customer messages into structured orders, automatically extracting details, prices, and allergy warnings, and stores them locally with optional cloud sync.

Problem

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.

Outcome

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

Workflow

• 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

Evidence

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

Source

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

Source

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

Source

Saved orders live in the browser's IndexedDB via Dexie

Source