An AI-ready commerce intelligence platform that transforms fragmented retail data into semantic discovery, predictive pricing insight, and fast shopping decisions.
Visit Live SiteRetail product data arrives from many stores with inconsistent titles, changing prices, duplicate listings, and rapidly shifting inventory. Comparaison.tn was designed to go beyond a traditional comparison website and act as a structured intelligence layer for commerce.
The platform needed to support:
Status: Live
Industry: Retail Tech / Commerce Intelligence
Focus: AI-ready architecture
High-throughput collectors normalize catalogue, offer, and pricing signals from diverse retail sources into one coherent data layer.
A canonical product model connects brands, variants, equivalent items, and related products for smarter discovery and future AI workflows.
Versioned static HTML snapshots deliver instant, crawlable public pages while protecting the live data layer from unnecessary request-time load.
Lexical filters, semantic retrieval, and natural-language intent handling support faster product discovery across large catalogues.
Historical offer streams support pricing trends, deal scoring, volatility analysis, and recommendation-ready ranking signals.
Composable APIs expose products, comparisons, offers, and structured knowledge for future shopping assistants and automated workflows.
We design modern systems that serve users now and create a foundation for AI, automation, and intelligent products later.
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