Employing smarter data analytics in retail can drive a 3-5% sales uplift within 6-18 months and increase operating margins by over 60%. Retailers face intense competition, especially from discount chains, and often struggle to extract value from vast data sources like POS, IoT, customer insights, and inventory. Advanced analytics enables better demand forecasting, personalized marketing, optimized inventory management, and improved supply chain efficiency. By bridging online and offline data, retailers gain a competitive edge through seamless customer experiences. The retail analytics market is rapidly growing, expected to reach $10.85 billion in 2025 and surpass $39 billion by 2032, underscoring its critical role in retail success.

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