April 6, 2022

How Can AI Be Used in Different Industries and Use Cases to Identify What a Customer Values?

Artificial intelligence has a variety of use cases that allow industries to quantify and understand what a customer values. AI tools allow businesses to identify the value drivers in various scenarios such as meetings, education, user experience (UX) design, product research, and development. With AI tools, businesses also can better define outcome statements, including the weighing of improvement, performance, and context, to help them improve their productivity and become more efficient. 

How can this new wave of automation help businesses stay ahead and gain a better perspective of customer value? And, what are the elements of value that can be nailed down in conversations to help businesses understand what customers value the most? 

The Future of Meetings With Artificial Intelligence

Meetings powered by artificial intelligence allow for more opportunities to identify customer value

To ensure meetings have more purpose and extract great conversational value, artificial intelligence tools mimic the ability of the human brain to process and prioritize information. Artificial intelligence garners data insights from meetings, pointing out the insights that have the highest value and filtering out points with the least amount of importance. By leveraging the most valuable aspects of conversations, businesses can be one step ahead of any expensive failures and gain opportunistic insights thanks to natural language understanding. 

With AI note-taking, automated data entry, and identified takeaways, artificial intelligence tools heighten the information in meetings most likely to secure deals and improve close rates. Additionally, AI tools aid information flow across teams, driving better results within remote working environments. 

Artificial intelligence use cases for meetings also include the use of digital assistants, speech recognition, and predictive analytics that offer useful performance updates and track the quality of interactions among teams. With all of these potential use cases, AI helps teams to better read the customer signals that indicate their perceived value of services and better understand their unique pain points, making assumptions out of the process and using analytics instead. You also can go beyond the functional elements of value and understand the emotional and socially impactful elements of value that help customers to reach their objectives when using a service. 

What About AI-Enhanced User Experience?

How can UX be improved using AI?

Artificial intelligence tools are also enhancing user experiences and, by extension, allowing UX designers to understand what customers want most. By gathering data, analyzing user interactions, and predicting human behavior, UX designers can create thinner user interfaces, ensuring there are fewer hindrances to customers when surfing websites or apps. UX designers can best address customer queries and directly address unique pain points, providing potential solutions and delivering consistent results. 

Businesses can better prioritize queries and other important conversation points using artificial intelligence, utilizing conversational intelligence to optimize their offerings to customers. Artificial intelligence also makes UX systems smarter and more modular while also adding more personalization to user experiences, delivering more efficiencies to customers, and ensuring all four aspects of the B2C elements of value: functional, emotional, life-changing, and socially impactful. 

Additionally, with UX design, businesses improve their data collection capabilities, understanding patterns in customer behavior and preferences, generating questionnaires and surveys to collect useful customer information. With the relevant responses provided through these data collection methods, businesses can fine-tune their conversational tactics to address what most affects customer perceived value, easing customer fears and frustrations while delivering the sort of satisfaction customers seek. 

How AI Delivers Enhanced Customer Value in Product Development

For businesses trying to recognize customer value and deliver that value to their customers, artificial intelligence tools and automation allows businesses to focus on creating smarter, more connected products to provide more robust, ready-made services to customers. Additionally, artificial intelligence in product development helps developers to be more cost-efficient in their development practices, delivering high-value, cost-efficient services, and products to customers. 

Artificial intelligence technologies are being used to facilitate different aspects of product development, such as providing analysis and recommendations to improve product usability as well as improving demand forecasting for products. Product developers can improve how they have conversations surrounding the most viable use cases products, developing enjoyable user experiences while boosting workflows and conducting tests that determine the best service responses that customers prefer.  

Artificial intelligence in the product development field also allows businesses to view the causal factors that drive new sales the most, making demand forecasting more accurate and better streamlining new product development, reducing waste, and knowing the elements customers hold dear when engaging with new services. AI tools also extend existing product lifecycles and use special design algorithms to eradicate design constraints and optimize their product design to best meet customer value expectations. 

AI and the various use cases that accompany it allow businesses to make their analysis of customers more precise and insightful. Versational provides a conversational assistant solution to ensure you reap the improved business value from boosting your conversational value and seeing what matters the most to customers. Try our product for free today. 

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