Wykorzystanie technologii głosowej w transformacji doświadczenia klienta

As customer expectations continue to rise, offering high-quality products and fair prices is no longer enough. Today, customers seek quick responses, personalized services, and diverse digital communication channels with brands. It is crucial for businesses to stay one step ahead of these evolving demands, as falling behind is not an option and can lead to losing a competitive edge.

However, many companies still lag behind. A global survey conducted by Accenture with 25,000 consumers revealed a surprising finding: about two-thirds of respondents believe that companies are not adapting fast enough to their changing needs. Understanding these evolving needs is the foundation of customer service, but how can they be accurately determined?

While insights from data analysis serve as the basis for an effective customer service strategy, many companies still do not fully leverage their potential. It is clear that customer interactions, whether through live chats or social media, contain a wealth of information, from user preferences to satisfaction levels.

In an era where social media dominates as the preferred form of contact, data from phone conversations is often neglected. However, using artificial intelligence to analyze voice calls can transform these interactions into personalized services that truly resonate with customers.

Turning Voice Calls into Knowledge-Based Actions

The journey towards impactful voice experiences starts with choosing the right software. This software should enable companies to analyze interactions and make necessary changes.

For example, Twilio’s communication tools are designed to transform unstructured voice conversations into concrete analytics. With Twilio’s Voice Intelligence tool, it is possible to transcribe and analyze customer interactions on a large scale to identify key trends. Are customers indicating lower competitor prices? What are their preferred communication methods? Identifying common complaints and topics of interest can significantly enhance the customer experience.

By utilizing data from voice conversations, not only can agents efficiently resolve issues, but they can also identify areas for improvement and increase customer satisfaction. Whether through price adjustments to match competitors or adapting communication post-contact, this paves the way for data-driven personalized customer experiences.

Better Understanding Customers through Modern IVR Systems

Modern Interactive Voice Response (IVR) systems empower customers by giving them control. These systems, powered by artificial intelligence for natural language recognition, can understand user moods and goals, making tasks such as flight reservations or phone purchases easier.

Furthermore, innovative marketers are pushing the boundaries of IVR. Utilizing surveys and phone interviews after interactions or transactions allows for discovering valuable information about customer preferences and demographics. Real-time feedback like this is invaluable for companies to quickly adapt to changing customer needs.

Harnessing AI to Drive Voice Services

Twilio Voice provides the necessary tools to create personalized voice experiences that not only meet but exceed customer expectations. By leveraging artificial intelligence-based solutions, companies can focus more on creating unforgettable customer experiences while reducing time spent on technical development. An example of this approach is Marks & Spencer’s customer service department. By integrating natural language learning technology into conversations, Marks & Spencer was able to transcribe and analyze call recordings, providing them with invaluable insights for future customer interactions. This innovation allowed them to identify trends, preferences, and issues, enabling Marks & Spencer to tailor their services accordingly. The company’s updated contact center operations now boast an impressive 90% call handling accuracy, showcasing the profound impact of such technologies.

Interested in Unleashing the Transformative Power of Voice Technology?

Frequently Asked Questions about Voice Technology

1. Why should companies be interested in voice technology?
Ans: Voice technology is crucial for staying competitive in today’s business world. Customers expect quick responses, personalized services, and diverse digital communication channels. Utilizing voice technology, such as voice call analysis or IVR systems, allows companies to better understand customers, address their needs, and deliver more personalized experiences.

2. What are the benefits of voice call analysis?
Ans: Voice call analysis enables companies to identify key trends, preferences, and customer issues. This helps companies tailor their services and enhance customer satisfaction. Voice call analysis can also help identify areas for improvement.

3. What are the advantages of IVR systems?
Ans: Modern IVR systems, powered by artificial intelligence, allow for understanding customer’s natural language, making tasks like flight reservations or phone purchases easier. IVR systems can also be used for conducting surveys and phone interviews, providing valuable information about customer preferences and demographics.

4. How does Twilio Voice help in creating personalized voice experiences?
Ans: Twilio Voice offers AI-based tools that enable companies to create personalized voice experiences. With these tools, companies can focus on creating unforgettable customer experiences, reducing the time spent on technical development.

5. How did voice technology help Marks & Spencer?
Ans: Marks & Spencer, through the integration of natural language learning technology in conversations, was able to transcribe and analyze call recordings, providing them with valuable insights for future customer interactions. This allowed them to tailor their services accordingly. Marks & Spencer now boasts 90% call handling accuracy in their contact center operations.

6. Where can I learn more about the transformative power of voice technology?
Ans: You can find more information on the Twilio Voice homepage: [link]

The source of the article is from the blog yanoticias.es