Data centricity
Customer service agents should analyze data and gather actionable insights that help them enhance their performance and prioritize intelligent CX. These data insights should relate directly to agent and customer behaviors to improve work habits and customer knowledge. With an advanced CX tool, agents can use AI to effortlessly crawl customer data and gather relevant insights and takeaways.

For example, agents can use data to:

Understand customer communication preferences, purchasing behavior, and personality.

Identify repeat issues and resolve the customer’s problems faster.

Assess their own performance.

See how they fit into the team as a whole.

As consumers change, so will real-time data insights, allowing businesses to quickly respond to new preferences or trends.

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