Project Description
Project description:
We are looking to build an AI-powered assistant for a powersport parts department. The goal is to centralize and index all supplier catalogs, PDF price lists, technical documents, and parts data into one searchable system.
The assistant should allow our team to quickly search across supplier information using natural language, part numbers, vehicle models, years, brands, categories, and compatibility.
Main features required:
Upload and process supplier PDF catalogs, price lists, and technical documents
Extract text, tables, part numbers, prices, specifications, and compatibility data
Store the data in a structured database
Create intelligent search across all supplier data
Support exact part-number search and AI semantic search
Display source references, including supplier name, PDF file, and page number
Allow users to ask questions such as:
“Find a belt compatible with a 2021 Polaris RZR 1000”
“Compare available brake pads for Can-Am Maverick”
“Show equivalent parts from different suppliers”
Provide a simple web interface for the parts team
Preferred functionality:
Supplier comparison
Duplicate part detection
Equivalent part matching
Price comparison
Chat-style AI assistant
Admin panel to upload and update supplier catalogs
Export results to CSV or ERP system
Expected deliverables:
Working web application
Backend database
AI search/indexing system
PDF processing pipeline
Documentation and deployment instructions
Ideal freelancer profile:
Experience with AI search, RAG systems, PDF extraction/OCR, databases, and web application development. Experience with automotive, powersport, or parts catalog data would be a strong advantage.