Seeloz SCAS Description
Demand and Inventory Planning are fundamental components of conventional Supply Chain Management (SCM). Historically reliant on human intervention, Demand Planning often leads to forecasts that are both inaccurate and outdated, even when utilizing sophisticated statistical and machine learning methods. Similarly, inventory management, which employs Operations-Research-based optimization strategies, can frequently misconfigure inventory parameters, resulting in costly delays and magnified errors. By analyzing extensive correlations among historical supply chain demand, inventory levels, and supply metrics, AP&I can generate hundreds of millions of viable supply chain scenarios. This adaptive approach enables continual enhancements in replenishment decisions, ultimately fostering significant competitive advantages across the entire supply chain landscape. Such innovations not only streamline operations but also enhance responsiveness to market changes.
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