SourceTran

Automatically extract shipment data from incoming emails.

November 2024
2 month
Completed
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Project description

01

Project Overview

SourceTran is an LLM-powered data extraction system for logistics emails. Incoming emails are preprocessed and sent to a language model with a custom prompt, returning structured shipment data as JSON.

02

The Challenge

Manually reading emails and copying shipment details was slow, error-prone, and inefficient. The goal was to automate this workflow and handle diverse message formats reliably.

03

Our Solution

We used a large language model (LLM) with tailored prompts to extract key logistics information directly from raw email content. The output is returned as a structured JSON ready for further use or storage.

04

Key Features

  • Automated Data Extraction from Emails

  • Clean JSON Output Format

  • LLM with Custom Prompt Tuning

  • Robust to Varying Email Formats

  • Easy Integration with Internal Systems

Technologies Used

Python
OpenAI
Docker

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