{
  "id": 14153312,
  "title": "OrderSift turns messy customer messages into orders you can actually act on.",
  "url": "https://urgent.news/2026/10/13/ordersift-turns-messy-customer-messages-into-orders-you-can-actually",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-10-13T08:29:47.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/shashank_chakraborty_6362/ordersift-turns-messy-customer-messages-into-orders-you-can-actually-act-on-5c4k"
  },
  "original_language": "en",
  "account": "OrderSift is an AI-powered tool that transforms disorganized customer messages into structured orders that businesses can easily process. The app is particularly useful for small food and craft businesses that receive orders through chat apps such as WhatsApp, Instagram DMs, and email. It extracts key information like quantities, customizations, pickup dates, and phone numbers from the messages, ensuring that nothing important gets missed out. The extracted data is then validated to avoid mistakes and all necessary information is presented in a user-friendly card format. OrderSift also flags any missing details and generates a polite follow-up message that can be copied directly into the chat. The app's interface allows merchants to easily track the status of each order, from draft to delivery, and export the data in CSV or JSON format for further analysis. OrderSift is designed for solo businesses, home bakers, caterers, and micro-merchants who rely on WhatsApp, Instagram DMs, email, and SMS for order intake. By automating the order processing workflow, OrderSift helps businesses save time, reduce errors, and increase revenue.",
  "summary": "This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle What I Built OrderSift turns messy customer messages into orders you can actually act on. If you run a small food or craft business, your \"order system\" is probably your phone. Orders arrive as WhatsApp messages, Instagram DMs, texts, and emails, and every one is written differently. Here's a real-looking one:…",
  "key_points": [
    "AI-powered tool transforms customer messages into structured orders",
    "Extracts key information like quantities, customizations, and pickup dates",
    "Helps small food and craft businesses save time and reduce errors"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}