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Enhancing the Efficiency of the Next4biz Chatbot with Instant Attention and Probabilistic Inference

We presented our scientific study, “Boosting CRM Chatbot Solutions with Flash Attention and Probabilistic Inference,” at the ISPR2024 Conference.

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Customer Relationship Management (CRM) enhances customer satisfaction and loyalty. At the heart of this process, CRM chatbots automate customer interactions, providing quick and efficient responses to inquiries and delivering personalized support, thereby creating significant value for businesses.

The chatbot module integrated into Next4biz’s CRM solution simplifies customer management processes while offering easy integration and use. Our advanced chatbot systems, capable of operating without an internet connection, ensure that customer service continues seamlessly anytime and anywhere.

One of the primary goals of the Next4biz CRM chatbot is to accelerate customer service processes and enhance efficiency. In traditional customer support services, long wait times and multiple transfers can occur, leading to customer and support teams’ frustration. However, the Next4biz chatbot module can handle numerous inquiries simultaneously, offering 24/7 assistance.

This solution reduces response times and allows customer representatives to focus on more complex issues, thereby improving the overall customer experience. By automating routine tasks, chatbots ensure that customers receive timely support and help build brand trust.

We employ advanced techniques to improve performance and response speeds to enhance the effectiveness of our chatbot module integrated into our CRM product. Next4biz’s advanced chatbot system can process multiple sources and various media types (audio, video, images, etc.). This capability eliminates the need for extra document preparation costs and provides a better understanding of customers’ needs and preferences based on the available data.

The Next4biz chatbot enhances the efficiency and accuracy of generated responses by utilizing innovative techniques such as Flash Attention and the Probabilistic Inference Layer. Flash Attention enables the system to quickly process large amounts of data, allowing it to understand user queries better and more swiftly. The Probabilistic Inference Layer ensures that the chatbot exchanges information more accurately, helping responses be contextually appropriate and precise.

Additionally, the chatbot can respond appropriately to emotional cues through sentiment analysis and context-understanding techniques. These techniques enhance the accuracy of responses and provide an engaging and empathetic interaction, making customers feel valued and understood.

The development of CRM chatbots is transforming customer service practices, allowing businesses to manage customer communication more effectively. Enriched with innovative technologies and data integration, these systems provide exceptional support, maximizing customer satisfaction even under varying connection conditions.

The Next4biz CRM chatbot module is not just a tool for efficiency but also a strategic investment that enhances customer loyalty and business continuity for companies.

Click here for the full text of our scientific study titled “Boosting CRM Chatbot Solutions with Flash Attention and Probabilistic Inference,” presented at the ISPR2024 (The International Conference on Intelligent Systems and Patterns Recognition) conference.

Akhan Akbulut
Professor Doctor Akhan Akbulut worked in the Computer Engineering departments of Istanbul Kültür University and NC State University. He serves institutions such as TÜBİTAK, Ministry of Industry and Technology, TÜSEB, and KOSGEB. He researches Distributed Systems and Artificial Intelligence and has over 100 international journal articles and conference proceedings from his work.
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