Tejaswini Dharne@jessdharnee

PrithviX is an Adaptive AI-Driven Warehouse and Trend Forecasting System that transforms inventory management through automation, sustainability intelligence, and explainable analytics. Built on IBM Watsonx Orchestrate, it unifies social-trend detection, demand forecasting, supply-chain awareness, waste analysis, and risk simulation into one automated workflow. The process begins when Orchestrate activates PrithviX’s social-signal engine, which collects anonymized trend patterns from TikTok, Instagram, and YouTube. These signals are cleaned and validated to separate real demand from short-term hype. The refined signals, combined with historical sales logs, feed into the forecasting engine to produce short- and medium-term predictions. SHAP explainability reveals which factors influence each forecast, increasing clarity and trust. Orchestrate then connects these predictions to the supply-availability agent, which evaluates stock levels, shipment delays, expiry risks, and supplier reliability. This ensures insights match real operational constraints. PrithviX’s sustainability module analyzes carbon footprint, packaging impact, waste probability, and deadstock risk to support responsible decisions. A simulation engine models thousands of possible outcomes, estimating risks related to overstocking, lost revenue, waste generation, and environmental impact. All outputs flow into an XAI decision card presenting trends, supply feasibility, sustainability impact, and risk levels. Managers receive one clear recommendation: stock more, stock less, or wait. PrithviX stands out by combining trend intelligence, forecasting, supply logic, sustainability scoring, and risk modeling into a single orchestrated ecosystem. It supports SDG 9 by modernizing warehouse operations, SDG 12 by reducing waste, and SDG 17 by integrating with ERP systems like SAP and Oracle. The result is a smart, transparent, and sustainable warehouse intelligence platform.

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