freight-email-parser

What problem does it solve?

Freight brokers spend excessive time monitoring inboxes, sifting through messages, and manually extracting structured data from quotes, carrier replies, PODs, and invoices. This skill automates that workflow to reduce manual effort and speed up operations.

Core Features & Use Cases

• Email monitoring via Gmail IMAP and Outlook Graph to surface new messages and attachments.
• Classification & extraction using HuggingFace zero-shot or regex to identify quote requests, carrier communications, PODs/BOL, and invoices and to extract key fields.
• Automated replies and alerts by drafting emails, sending SMS summaries, and flagging overdue quotes for follow-up.
• Use Case: A broker can receive a new quote request, extract origin/destination, equipment, and dates, and instantly push an SMS alert with a ready-to-send quote.

Quick Start

Run the main pipeline to poll the inbox, classify messages, extract data, and generate alerts, drafts, and reminders.