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Using predictive analytics in retail: benefits, examples, and best practices
A data-driven approach is the prime power of the modern retail market. Information and data analytics fuel every aspect of retail, from inventory management to pricing and marketing, and serve as a basis for predicting future trends. However, retailers have yet to unlock the full potential of forecasting outcomes with predictive analytics.
Machine learning in retail: use cases and practical examples
What if the retail industry failed to continuously evolve and adjust to shifting customer demands and preferences? It is simply inconceivable. Despite the considerable efforts made by retail companies to prioritize customer needs and foster brand loyalty, plenty of them are still struggling with business challenges. Among these hurdles is adopting suitable technologies to provide a flawless customer experience. However, could the integration of such technologies, in particular, machine learning, be a magic bullet?
The Internet of Things (IoT) In the Retail Industry: Use Cases, Benefits, Technologies
Digital transformation is popular among retailers who want to keep up with the competition and make their lives and those of their customers easier. By employing Internet of Things (IoT) solutions, one of the key steps in digital transformation, businesses can enter the world of smart retail.
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