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 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 australia number screening 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 .
“AI and data are revolutionizing the way businesses operate and innovate, and through their alliance, Salesforce and Google are empowering organizations to unlock the full potential of their trusted data , apply AI insights, and personalize customer experiences like never before,” said David Schmaier, Chief Product Officer at Salesforce.
“Google Cloud and Salesforce share a commitment to helping businesses accelerate their data-driven transformation. This new alliance brings together one of the world’s largest data clouds, Salesforce, with Google’s analytics and AI capabilities, and represents a significant leap forward in businesses’ ability to generate more value and insights from their customers’ data ,” said Thomas Kurian, CEO of Google Cloud.