In our previous blog article, “Using AI for Increasing Agent Productivity,” we discussed how many insurance companies can only analyze agent productivity based on the premiums written and the loss ratio of their network of independent agencies. In part 2 of our series of articles on “The Top 3 Emerging Trends for Agent/Advisor Analytics Using AI”, we will focus on the benefits of understanding agency sentiment for insurance companies that utilize a network of independent agencies.
Currently, many insurance carriers can only analyze agent productivity based on the premiums written and the loss ratio of their network of independent agencies. Looking only at past results doesn’t necessarily provide an accurate view of how an insurance carrier can increase agent productivity going forward. By using AI for increasing agency productivity, insurers can now predict the best course of action as opposed to waiting to review past results.
Sentiment reveals a lot about what customers think about an insurance brand, including how well customer representatives are resolving issues and how happy customers are with the underwriting process. This is where the sentiment analysis of structured and unstructured data can help insurers understand how their customers are feeling.
RPA is Changing Lives The digital marketplace is extremely challenging. Businesses must stay ahead of the game by being innovative and creative to continually provide automated processes that will improve the customer experience. Robotic Process Automation (RPA) and Digital Process Automation (DPA) are the front runners by being one of the fastest growing segments of business technology these days. Globally, the RPA market size was valued at USD 597.5 million in 2018 and is expected to register a compound annual growth rate of 31.1% between 2019 - 2025.
With the artificial intelligence (AI) technology that exists today, an AI-enabled single view of the customer provides insurers with an opportunity to improve the customer experience. In the previous blog article “The Importance of Having a Single View of Your Customer in 2019,” we discussed a few of ways this can be accomplished.
An interview with Jackie Vergne, Director of Customer Success
Most insurers’ view of their policyholders is in isolation - one policyholder at a time, with the possibility that more than one individual in a household may have different or multiple policies from the same insurer. As such, the premium impact of the household is larger than that of the individuals.
Today, customers expect a personalized, unique experience. Millennials not only expect a superior experience but also expect their service provider to know in advance about the kind of treatment they prefer to receive. A critical step in delivering a unique experience is to know what your existing customers think about you and your services.
Virtual assistants like Siri, Cortana and Alexa as well as other speech synthesis techniques have solved many customer use cases by offloading repetitive and mundane searches or activities. Customer-oriented businesses leverage this technique to provide better operational efficiency and improve customer experience. They can then run analytics over the voice/audio content to derive predictions.
Insurers have been using data to improve the customer experience of their policyholders for quite a while now. This data is typically explicit data that is gathered by asking policyholder specific questions. By gathering implicit data, insurers can now understand the sentiment of their customers at any given point of time during their customer journey, without even asking them.
Insurers have a near-constant stream of unstructured data at their disposal that can be used to drive growth by improving policyholder retention and identifying cross-sell and upsell opportunities. One of the challenges for insurers is sorting through this mountain of unstructured data quickly to gain an accurate understanding of the sentiment of their customers in real time.