Customer-oriented businesses should strive to provide a personalized and seamless experience for consumers. This can be done with real-time suggestions based on collected and analyzed information from Big Data Tools. Of course, each company can find it useful. However, real-time suggestions are common in:
eCommerce. Online retailers can use real-time suggestions to offer personalized product recommendations, promotions, and discounts based on a customer’s browsing and purchase history. This can help increase customer engagement and sales.
Banking and finance. Real-time suggestions enable providing personalized financial advice, investment recommendations, and fraud detection alerts based on a customer’s financial behavior and history.
Healthcare. Healthcare providers can use real-time suggestions to offer personalized treatment recommendations, medication reminders, and health monitoring based on a patient’s health data and history.
Travel and hospitality. Thanks to real-time suggestions, companies can provide personalized travel recommendations, booking options, and promotions based on a customer’s travel history and preferences.
Transportation and logistics. Transportation and logistics companies can use real-time suggestions to optimize delivery routes, reduce delivery times, and improve overall efficiency based on real-time data on traffic patterns, weather conditions, and delivery times.
If you’re eager to explain more examples of how Big Data works for logistics, read our article in the blog.