AI/ML offers $0.9–$1.7 trillion in annual value to the retail sector, the highest among all industries. However, only 35% of models are fully deployed due to complex workflows and maintenance challenges. Retailers risk costly inefficiencies without the right ML infrastructure. ML enables predictive and prescriptive insights, offering significant competitive advantages. Success depends on robust, integrated, and secure data pipelines, and on actively maintaining model relevance over time to prevent drift. Proper implementation transforms retail operations with increased agility, profitability, and customer impact.

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