Thus, integrated artificial intelligence (AI) technologies make it easier to obtain the most relevant information on customer data in real time and make realistic business forecasts. In addition, generative AI makes it possible to optimize communication with original content and automate work processes to accelerate manual tasks. In CRM, AI can therefore help teams in all aspects of their work, whether sales, marketing, IT , or customer service, improving both the user experience and the way we work.
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Any team, regardless of size, can benefit from the advantages of artificial intelligence in its customer relationship management (CRM) system. In fact, according to a 2025 Apizee survey, AI agents in customer lithuania phone number lead relations are capable of handling up to 80% of customer interactions . In terms of return on investment, the benefits of AI-powered CRM functions are therefore obvious. Thus, not only does AI help you work more efficiently, but it also has a positive impact on customers who benefit from faster responses and better customer service. Here are some of the benefits of AI-powered CRM platforms with examples of use cases to improve your productivity.
1. AI CRM: Increased productivity and efficiency
AI-powered CRMs automate repetitive tasks like data entry, lead scoring, and customer follow-up reminders , reducing the time spent on manual processes. For example,
Sales teams can focus more on closing deals rather than laying out their Excel spreadsheets. Meanwhile, managers can rely on concrete data generated by AI to make the best decisions quickly.
Automated scheduling and AI-powered recommendations help prioritize the most important tasks to increase overall productivity.
2. AI CRM: Improving customer satisfaction
CRM AI improves customer satisfaction and experience by providing fast and personalized interactions. For example,
AI-powered chatbots handle common inquiries 24/7, reducing customer service workload and ensuring customers get quick responses;
The author's sentiment analysis tools help assess customer emotions in emails and other communications. This allows you to proactively address customer concerns and improve customer service.