Publication details
This post summarizes the peer-reviewed work cited below.
- Paper
- Boosting CRM Chatbot Solutions with Flash Attention and Probabilistic Inference
- Authors
- Ahmet Can Günay; Muhammet Furkan Özara; Ahmet Erkan Çelik; Akhan Akbulut
- Presented at
- Intelligent Systems and Pattern Recognition – 4th International Conference, ISPR 2024, Istanbul, Turkey, June 26–28, 2024, Revised Selected Papers, Part I (Communications in Computer and Information Science, vol. 2303)
- Volume / Pages
- 2303 / 51–64
- Publication date
- March 2, 2025
- DOI
- 10.1007/978-3-031-82150-9_5 — Publisher page
- Full text (PDF)
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.
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.
Please see 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, below: