Intelligent Customer Relationship Management

As we’ve already established, personalization is important because it helps financial organizations deliver better customer experiences. However, that’s not the only thing that can improve your relationship with clients. AI-powered CRM  canada phone number data platforms, contact centers, and even chatbots can all prove invaluable in boosting the quality of the services you offer.

CRM Platforms

Financial institutions use data from the first contact to ongoing services for current customers. With an intelligent CRM solution, you can leverage the gathered digital information to tailor a personalized experience for each customer and streamline entire sales operations.

Discover how a CRM Improves Lead Generation

For instance, if you implement a platform like the Creatio CRM that combines big data and advanced technology to improve your contacts management process, you’ll quickly observe more deal closures and happier sales agents.

This happens because an intelligent solution like that has a robust set of features for helping you achieve your goals. Specifically, Creatio comes with the following AI-enabled functions:

• Lead scoring to identify and prioritize high-value candidates.
• Lead routing to connect the right opportunity to the right sales agent.
• Personalized nurturing campaigns to study customer behaviors and create relevant, automated communication.
• Predictive analytics to provide agents with recommendations on the steps to take to generate the most revenue.
• Sales forecasting to foresee quarterly data privacy in digital marketing campaigns  or annual results based on historical and pipeline data so that adjustments can be made if needed.
• Operations optimization to identify where and when certain staff members will be required.
• Data enrichment for acquiring relevant information from different channels and creating a more effective sales pitch.

So, if you’re looking to give your sales and marketing operations a significant boost — definitely consider implementing an intelligent CRM solution that will take most of the hard work off your hands.

Find out how we implemented a CRM for a FinTech Company

Contact Centers

Another important area of customer relationship management that AI can improve is definitely contact center performance. Since the flow of conversation is often hard to predict, agents may struggle leading the discussion towards a fruitful conclusion.

However, with AI-based contact centers, financial companies can ease the work of sales and customer service agents by providing them with rea country list l-time conversational intelligence and call analytics. Specifically, intelligent platforms deliver real-time suggestions that guide the dialogue and automatically adjust what is the next best thing to say.

As you can imagine, this can help your staff feel more confident throughout the discussion. Thus, leading to more closed deals, faster resolving of customer issues, and better experience for everyone involved.

Read up on AI Call Analytics Boosting Insurance Sales

Automated Chatbots

Great customer support is of utmost importance in any business. However, it’s particularly imperative in finance, where people are dealing with money, and tensions can quickly rise. So, unless you’ve got a team working 24/7 to respond to queries, an automated chatbot can be a good tool to employ.

By relying on natural language processing, chatbots can quickly decipher a received question, find the optimal answer, and deliver an accurate response that the client is looking for. Thus, allowing you to reduce operational expenses while still catering to customer needs and providing an excellent level of service.

3. Predictive Credit Risk Assessment

Another one of the major artificial intelligence uses in finance and banking is definitely within credit decision-making. As you know, determining the creditworthiness of a borrower can be a time-consuming task, especially when you’re dealing with a brand new client. However, it’s imperative for financial institutions to accurately identify high-risk customers so that unnecessary issues and losses can be avoided.

Here, AI can come in and quickly analyze a myriad of factors that impact a person’s ability to pay back what they’ve borrowed. Moreover, AI-powered lending software typically uses more elaborate credit scoring approaches than traditional platforms. For instance, it can seamlessly distinguish between a high-risk applicant and someone who just doesn’t have enough credit history but might otherwise be reliable.

For these reasons, more and more financial organizations are relying on artificial intelligence to carry out credit risk assessments and optimize their lending processes.