Project Description
Our team has developed an advanced solution for scanning and processing retail catalogs and brochures. Using Machine Learning (ML) technologies, our system efficiently extracts product data, such as names, prices, descriptions and images from multi-page documents like images or PDFs. To achieve 100% accuracy in extraction, we incorporate human validation for error correction, ensuring the highest levels of data accuracy.
Our system allows uploading a selected brochure, choosing the campaign period, and checking the scan status. Once the data from the brochure is extracted, a list of products with their prices, discounts, and descriptions is generated. The operator can review the data and make edits if necessary. The system offers the option to apply different settings for each individual merchant whose brochures are used, and it allows for the selection of a specific AI model for each one of them.
User Interface
The Infinno team was responsible of
- Identifying and gathering requirements
- UI/UX
- Implementing the web user interface
- Integration with Machine Learning models
The client
Our system can be used by retail and online marketing companies.
Core Technology Stack We Used
Frontend technologies
web UI – Angular |
Backend technologies
Java | |
Python | |
Macine Learning Models |