Qia - AI Report Generator & Narrator for Shopify Reviews & Product Details

Qia is a utilitarian analytical workspace designed for Shopify merchants who require custom data engineering without maintaining manual spreadsheets, SQL databases, or complex BI dashboard configurations. Instead of generating fixed charts or pre-built visual dashboards, Qia utilizes a text-based input terminal. Users write precise operational or financial queries in plain English. The engine processes these requests by executing live Query Algebra directly against raw Shopify store data (including order volumes, UTM attribution strings, discount code logs, and inventory levels). Core Functionality - Direct Data Handshake: Connects directly to Shopify to query raw transactional data and attribution tables in real time, bypassing standard row limits and template restrictions. - Wide Intermediate Tables (WIT): Aggregates complex, multi-source data points into structured, clean tabular layouts where merchants can modify, filter, and structure columns at zero computational tier-cost. - Autonomous Strategy Synthesis: Converts extensive multi-column data tables into clear, written analytical narratives. It calculates real-world metrics like true contribution margins, cohort purchase latency, and inventory velocity decay trends. - Shop Personalization Engine: Allows merchants to inject real-world operational constraints directly into the analytical model (e.g., specifying custom 3PL manual restock labor rates, open-box asset depreciation percentages, or founder opportunity-cost values). By prioritizing plain-text queries and objective structural audits over visual clutter, Qia eliminates the manual labor of exporting multiple CSV files into custom spreadsheet pivot tables, delivering direct mathematical answers to complex retail questions.