Merchant Category Code (MCC) classification from Storefront Images
Project Overview
Our Merchant Category Code (MCC) Identification system is designed to automatically classify businesses based on their storefront images. This innovative solution combines advanced image processing techniques with Large Language Models (LLM) to accurately determine the most likely MCC for a given business.
Project Showcase
Key Features
- MCC codes classifications for accurate business categorization
- Information extraction from storefront name board images
- Inside image captioning using a Large Language Model (LLM)
- Combination of caption and name board information for MCC classification
- Identification of top 5 most likely MCC categories for each shop
Technologies Used
- Advanced Computer Vision algorithms for image analysis
- Optical Character Recognition (OCR) for name board text extraction
- Large Language Models (LLM) for image captioning and context understanding
- Machine Learning classifiers for MCC prediction
- Cloud-based infrastructure for scalable processing
Benefits
- Automated and accurate classification of businesses
- Reduced manual effort in MCC assignment
- Enhanced decision-making for financial institutions
- Improved risk assessment and compliance
- Scalable solution for processing large volumes of merchant data
Project Status
This solution has been successfully deployed in production for a leading NBFC (Non-Banking Financial Company)
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