CrossBorder Revenue Radar

##Project Overview The CrossBorder Revenue Radar is an autonomous market-intelligence platform engineered to exploit cross-border spot-price discrepancies by treating physical commodities as tradable arbitrage assets. Powered by Bright Data's high-performance scraping infrastructure, the platform targets the vast, fragmented trade corridors between United States and Kenya. By continuously tracking live web retail data, wholesale liquidation channels and global freight metrics, it strips away manual complexity of international product sourcing, transforming raw web data into immediate, actionable revenue signals for both agile startups and enterprise exporters. ##Mathematical Framework At the core of the platform is a deterministic valuation and pricing engine that normalizes unstructured web data to calculate risk-adjusted margins. The system handles dual vector market scenarios through symmetric mathematical modelling. For the startup tier executing import strategies (US to KE), the engine identifies high-velocity consumer goods by calculating local profitability using the following equation: Profit_Import = Price_Kenya - (Price_US + freight_cost + tarrifs). Conversely, for enterprise-tier agricultural and artisanal cooperatives looking to optimize their go-to-market execution export channels (KE to US), the engine computes the valuation spread as: Profit = Price_US - (Price_Kenya + freight_cost + tarrifs) ##Interactive Workflow User send a prompt requesting top market opportunities as of that date -> Bright Data pulls web prices -> Qwen & Llama parse data -> Django's hardcoded math evaluates profit margins and exact market state as well as offering recommendations and predictions using RL logic and basic Gradient boosting algorithms -> The data is sent to the user via the react webpage having ElevenLabs voice brief the user on the top arbitrage corridor.