I will build an ai order processing system


About this gig
Are you manually processing customer orders from emails, PDFs, or scanned documents? I will build you an AI-powered order processing system that extracts, validates, and matches orders automatically saving hours of manual work every day.
WHAT I WILL BUILD FOR YOU:
- Automatic extraction of order details from PDFs or emails using pdfplumber + GPT-4o
- Intelligent product name matching with fuzzy logic handles typos, abbreviations, and variations
- GPT-4o confidence scoring for ambiguous matches no bad auto-approvals
- REST API backend using FastAPI integrates with your existing system or frontend
- Structured JSON output ready for ERP, inventory, or database ingestion
- Clear flagging of unmatched or low-confidence items for human review
WHO THIS IS FOR:
- Distributors and wholesalers receiving orders via PDF or email
- Businesses spending hours on manual order entry
- Companies needing to connect incoming orders to their product catalog automatically
WHAT YOU GET:
- Fully working Python codebase (FastAPI + GPT-4o)
- Tested with your sample documents
- Basic deployment guidance (local or cloud)
- Clean API documentation
Get to know Srinivasan T
Founder AI Engineer RAG Chatbots LangChain Agents LLM App Development
- FromIndia
- Member sinceMay 2026
- Avg. response time1 hour
Languages
English
My Portfolio
FAQ
Q1: What file formats do you support for order input?
I support PDF, scanned images, and email text. If you have a different format, message me before ordering and I'll confirm compatibility.
Q2: Do I need to share my product catalog?
Yes. To match incoming orders against your products accurately, I need your product catalog in Excel or CSV format. Sample order documents (2-3) are also required to get started.
Q3: Will this integrate with my existing system?
The system delivers a FastAPI REST endpoint that can connect to most ERP, inventory, or database systems. Full integration with your existing software is available in the Premium package.
Q4: What happens if a product cannot be matched confidently?
Low-confidence matches are flagged automatically for human review instead of being auto-approved. This prevents wrong products from slipping through without your knowledge.

