Prescriptive analytics helps retailers optimize pricing, promotions, and assortment by providing real-time, actionable recommendations. Unlike descriptive or predictive analytics, prescriptive analytics uses machine learning to recognize patterns in data and suggest specific actions, allowing managers to adjust in-store and online strategies for maximum impact. This technology can drive a 2-5% increase in same-store sales by identifying key SKUs and making tailored suggestions, leading to better customer loyalty and increased revenue. It also helps streamline decision-making by combining machine insights with managers' real-world experience.

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