01 The challenge
Grocery prices vary significantly across Maltese supermarkets, but consumers lack easy comparison tools. Retailers use different product naming conventions, complicating direct item comparison despite available raw data.
02 The solution
A comprehensive AI-powered price monitoring platform featuring real-time web scraping, GPT-powered NLP for product matching, centralized big data pipeline, predictive modeling, price elasticity analysis, and visual dashboards.
03 Our approach
- Real-time web scraping across multiple Maltese supermarkets.
- GPT-powered NLP for intelligent product matching across retailers.
- Centralized big data pipeline for price ingestion and normalization.
- Predictive modeling for pricing trends and seasonal patterns.
- Price elasticity analysis for consumer behavior insights.
- Visual dashboards for price comparisons and historical tracking.