Enterprise-grade Machine Learning pipeline for retail demand forecasting. Features a configuration-driven architecture, automated feature engineering, and a comparative model tournament (Prophet, SARIMAX, Random Forest) for high-accuracy store-level predictions.
Xenhey reduces context switching by enabling live configuration driven API testing, prompt validation, workflow updates, and real time endpoint changes without constant redeployments. It helps teams validate scenarios quickly through Postman and provide client feedback in real time.
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