This whitepaper explains how warehousing is being reshaped by e-commerce expectations for faster fulfillment and real-time inventory visibility, and argues that manual processes and data silos create errors, stockouts, weak workforce management, higher costs, and limited visibility. It proposes an AI-powered, data-driven warehouse built on centralized data collection from systems like WMS, scanners, sensors, POS, and TMS, stored in a data lake and integrated through ETL/ELT so organizations can turn raw data into actionable insights for forecasting, optimization, and decision-making. It highlights practical adoption prerequisites (needs assessment, data readiness, integration, workforce upskilling, and continuous monitoring), and showcases key AI levers like Intelligent Document Processing

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