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This paper discusses the benefits, architecture, and real-world applications of integration between Salesforce and Artificial Intelligence in generating predictive customer insights. AI boosts CRM through insights, functioning process automation, and the ability to perform predictive analytics. The essay has explored the architectural requirements to make integration seamless, put a condition for a case example of a retail company using an AI-driven churn prediction system, and shows some challenges that might be encountered: with data quality, model selection, scalability, and some ethical concerns. Tackling these problems will enable businesses to apply AI as a tool to get better at decision-making and improve customer satisfaction.
Venkat Sumanth Guduru (Thu,) studied this question.
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