Big Database

A fashion retailer , for example, would have the ability to amalgamate its CRM data (customer purchase history or interactions with customer service) with data outside the CRM universe, such as real-time activity or social media sentiment. Companies in the fashion industry could implement custom AI models to predict the likelihood of a customer purchasing certain types of clothing and deliver hyper-personalized recommendations to the consumer through the most appropriate channel.


A healthcare organization could, on the list of philippines cell phone numbers other hand, connect CRM data (patient appointment history or feedback) with non-CRM data such as customer demographics and medical history. Such organizations can rely on AI models to predict which patients are at risk of readmission and thus generate personalized care plans for high-risk patients with the ultimate goal of improving their treatment with proactive care.


A financial institution could connect CRM data such as a customer’s transaction history, credit score, and financial goals with non-CRM data such as market analysis and economic trends. By deploying custom AI models, financial firms can predict customer spending habits, investment preferences, and financial goals through ad hoc offers and services .

Google Vertex AI offers a variety of use cases, especially in healthcare. Its capabilities for data analysis and predictive modeling can enhance CRM systems, streamlining patient care and optimizing resource allocation. For a deeper dive into implementing CRM systems in healthcare, this article might be helpful: https://www.cleveroad.com/blog/healthcare-crm-implementation/