Discovering the Power of Language Models to Improve the Customer Experience


Learn how companies could transform customer reviews into business decisions with advanced language models (LLMs). Learn how this technology can improve customer satisfaction and effectively increase your sales.
In the business world, understanding what your customers think and feel is key to improving products and services. At woku, our goal is to provide companies with this understanding, transforming customer opinions and experiences into actionable data. To achieve this, we use innovative technology: Large-Scale Language Models (LLMs).
What are LLMs and why are they key to the customer experience?
LLMs, such as BERT and GPT, are artificial intelligence models designed to understand and process human language in a very similar way to how we do it. A recent study has shown that these models can effectively analyze customer reviews on e-commerce platforms, differentiating between positive and negative emotions. In addition, they reveal a direct correlation between star ratings and the sentiments expressed in comments (Wang, et al., 2024).
Responding quickly to negative reviews is essential
The study highlights how negative reviews can spread quickly, almost like a virus, affecting the perception of other customers. At woku, we use LLMs to identify these reviews right away, allowing us to help companies react quickly, mitigating the negative impact and improving customer satisfaction before it becomes a bigger problem (Wang, et al., 2024).
Leveraging LLMs in woku
Our software at woku uses these advanced models to provide companies with a powerful tool that transforms reviews into useful information. With the ability to process and analyze thousands of comments in real time, woku provides companies with a clear view of their customer opinions, allowing for more informed and accurate decisions.
Turning opinions into opportunities*
Thanks to LLMs, we can go beyond simply listening to customers; we can deeply understand them. Not only does this improve the customer experience, but it also opens up new opportunities to optimize products and services, and above all to increase sales.
References
- Wang, Z., Zhu, Y., He, S., Yan, H., & Zhu, Z. (2024). LLM for sentiment analysis in e-commerce: A deep dive into customer feedback. Applied Science and Engineering Journal for Advanced Research, 3 (4), 8-13.