Ingesting and Sorting Data
While a successful business is every company owner’s dream, it also comes with abundant customer data that could prove overwhelming. Worse yet, the data exists in multiple CRM systems in different company departments, generated via help desk interactions, sales, returns, online chat rooms, and more.
This creates an unstructured and decentralized data system that AI can consolidate by collecting all information from phone calls, chats, emails, and more in one location. Cleaning up messy data also includes transcribing customer interactions with employees and tagging and categorizing them by topic so salespeople can look at trends and learn from precedence.
Moreover, as new customer information abounds, your employees don’t have to waste up to eight hours a week manually entering data. Artificial intelligence conducts these redundant and tedious tasks, which would otherwise take up 17% of your salespeople’s time, giving them more time with customers.
Getting Rid of Unusable Data
CRM systems house a large percentage of dirty data that impacts productivity, wastes resources, and causes communication between the company and customers to fail. About a third of US business revenues disappear behind incomplete and inaccurate customer data that, according to Dun & Bradstreet, make up 91% of CRM system data. Roughly 25% of businesses believe this risks their company’s reputation.
AI detects these inaccuracies and irregularities, inserting and updating records using third-party databases to fill in the gaps between information.
Analyzing Sentiment
However, AI isn’t just for sorting, implementing, and eradicating data. It also creates data from machine learning and observations when your salespeople converse with customers to increase customer satisfaction.
According to Salesforce, almost 80% of business customers believe it is crucial to have trust and understanding with the salesperson they converse with. Still, only 3% trust their representatives. In in-person cases, facial expressions and body language help create emotion and allow people to connect and read one another. Digital mediums make this difficult, which is where AI comes in.
AI tools read into conversations, analyzing emotions with sentiment analysis.
Don’t Wait To Improve Your CRM!
AI does a lot, from creating data-driven insight that could help personalize interactions to predictive lead scoring. So, take the time to learn more about how artificial intelligence impacts customer relationship management.