Inventory Logiq

von Inventory Logiq

AI Application

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Inventory Logiq is an AI-native inventory planning service (operated retainer) for eCommerce and D2C brands, positioned as 'an external inventory planning team, not software'. It combines an AI forecasting system with human planners: a competitive engine runs transformer-based AI models against classical ML methods (ARIMA, XGBoost, Prophet, ETS) per SKU, validates each candidate on holdout data for accuracy and bias, and selects a stable winner per SKU per planning cycle. The engine produces three SKU-level decisions each cycle: reorder (what/when/how much), overstock (slow movers/excess risk), and redistribute (placement across locations). Intended users are D2C/eCommerce brands that make, buy or sell physical goods and struggle with stockouts, trapped working capital from slow movers, and regional demand imbalance. Evidenced use cases: reducing revenue leakage from stockouts, unlocking working capital trapped in slow-moving inventory, and correcting regional stock placement. The service runs a four-week planning cycle (data ingestion/validation, forecast run + model validation, decision review, execution tracking + feedback) and is backed by Y Combinator, battle-tested across 400+ D2C brands.