If you want a CRM that uses AI to analyze customer behavior and predict what they might need, Salesforce is a top contender. It offers a broad AI-infused CRM suite that unifies marketing, sales and service teams on a single platform for personalized interactions in real time. Among its features are Einstein 1 for a unified customer view, AI Copilot for relationship-building and content creation, and Data Cloud for linking outside data to create better customer experiences and employee productivity. The suite also supports Slack integration and has industry-specific solutions with flexible pricing and a free trial.
Another powerful option is Dynamics 365, a suite of CRM and ERP apps that uses AI to link people, processes and data across an organization. Features include Microsoft Copilot for AI-powered productivity, data integration from hundreds of sources, and collaboration tools for Microsoft Teams. With apps for different business needs like Customer Insights, Customer Service and Field Service, Dynamics 365 uses AI and automation to deliver better customer experiences and faster response to business operations. A 30-day free trial is available, and pricing is by application.
If you're on a tighter budget, SugarCRM offers a CRM platform that uses AI to analyze customer behavior and improve customer engagement. It offers intelligent predictions, sales intelligence and integration with tools like Google Workspace and Office 365. SugarCRM's automation tools are geared toward improving customer service and revenue growth, making it a good option for businesses of all sizes and industries. The company's on-premise CRM option lets businesses automate manual processes and boost productivity.
Last, People.ai is a data platform that automates the capture of prospect and customer activity so you can get AI-powered insights to improve sales performance. It includes SalesAI, which automates manual sales tasks and provides coaching recommendations. People.ai integrates with existing tools like Salesforce and Dynamics 365, so it's a good option for revenue teams that want to make data-driven decisions and close deals faster. It's used by big companies like Cisco and Verizon, which say they've seen improvements in sales process adoption and accuracy.