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2 years ago 10 min read

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.
  • Retail
  • Data analytics
Machine learning in retail
Machine learning in retail

2 years ago 14 min read

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?
  • Retail
  • Machine learning
iot retail applications
iot retail applications

2 years ago 14 min read

The Internet of Things (IoT) in the retail industry: use cases, benefits, technologies
To stay ahead of the competition and offer better customer experiences, retailers are leveraging the power of the Internet of Things (IoT). By integrating these solutions, businesses can tap into the world of smart retail, improving operations and creating more personalized experiences.
  • Retail
  • Internet of Things

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