In Malta’s competitive retail landscape, both consumers and businesses face a common challenge: the lack of real-time visibility into food prices across different grocery stores. Identical food items are often listed under different names, making accurate price comparisons nearly impossible without significant manual effort. Shoppers looking to save on essentials have no reliable tool to compare prices across supermarkets, while analysts and retailers lack actionable pricing intelligence.
This gap in transparency creates inefficiencies for consumers, businesses, and policy makers alike. Our goal was to create a scalable, AI-powered grocery price monitoring system that could deliver live food price comparisons, track price fluctuations by item, and analyze store-level pricing differences across Malta’s leading supermarkets. By leveraging big data, AI-driven web scraping, and advanced NLP, we set out to build a tool that transforms fragmented food pricing data into real-time, structured, and insightful analytics.
Real-time web scraping of food prices across multiple Maltese supermarkets
GPT-powered NLP for grouping identical food items listed under different names
Centralized big data pipeline for high-volume price ingestion and cleaning
Predictive modelling to track trends and identify unusual pricing behavior
Price elasticity analysis to understand consumer response to price shifts
Visual dashboards showing lowest vs highest prices across stores
To address inconsistent pricing across grocery stores in Malta, we engineered a robust AI-powered grocery price monitoring system. Leveraging advanced web scraping, natural language processing (NLP), and big data analytics, the platform continuously collects food item prices from multiple supermarkets. Using GPT-based models, it intelligently reconciles product names that differ across stores, ensuring standardized, accurate comparisons.Once cleaned and processed, the data is funneled into a centralized big data pipeline, where we apply real-time analytics, predictive modelling, and AI-driven price elasticity calculations. This empowers both consumers and retailers with a clear view of pricing trends, store-to-store variances, and future cost projections—enabling smarter, data-informed decisions and competitive pricing strategies.
With this platform, we’ve shown how AI and big data can deliver real-time transparency into grocery pricing across Malta. By automating data collection and analysis, we’re helping consumers and businesses make smarter, more informed decisions.
Matthew Galea - Managing Director
This AI-powered price monitoring platform offered unprecedented transparency into grocery pricing in Malta, uncovering notable disparities between stores. By combining big data, machine learning, and natural language processing, the tool empowers both consumers and retailers with actionable insights—supporting smarter purchasing decisions, competitive pricing, and scalable retail intelligence strategies.
Real-time comparisons of grocery prices across major Maltese supermarkets
Identified significant price differences on identical food items
Standardized item names using GPT for accurate product matching
Delivered price elasticity insights to support strategic promotions
Designed for easy expansion into new industries or regions
