Methods for Integrating Chatbots Into Customer Experience Management Systems

Аннотация

The article explores approaches to integrating PUBLISHED 12 March 2025 VOLUME Vol.07 Issue03 2025 chatbots into customer interaction management systems, as well as other digital platforms such as CITATION educational, financial, and marketing environments. The aim is to study architectural solutions and Jivani Zubin. (2025). methods for integrating chatbots into customer experience management systems. The American Journal of Engineering algorithms that ensure the productive operation of and Technology, 7(03), 118–126. chatbots in terms of performance, scalability, and https://doi.org/10.37547/tajet/Volume07Issue03-11 flexibility in various user interaction scenarios. COPYRIGHT The methodology is based on comparing centralized and © 2025 Original content from this work may be used under the terms of the creative commons attributes 4.0 License. decentralized integration models. It examines data transfer protocols such as REST API, GraphQL, and WebSocket. Special attention is paid to natural language processing algorithms, including transformers like BERT and GPT, which can interpret queries, maintain context, and quickly adapt to changes in communication scenarios. The article also discusses hybrid models combining automation with human operators for handling non- standard situations. Approaches focused on active learning are examined, which improve chatbot performance in real-time. The results demonstrate that the use of chatbots in customer interaction management systems and e- commerce improves query processing, speeds up responses, and enhances personalization. The application of data analytics opens opportunities for predicting customer behavior and generating proposals tailored to user needs. Issues of data security, encryption, authentication, and access control, which are critical for regulatory compliance, are also considered. The conclusions highlight the necessity of a comprehensive approach to chatbot design, selecting flexible architectural solutions, adapting to business processes, and implementing machine learning The American Journal of Engineering and Technology 118 https://www.theamericanjournals.com/index.php/tajet The American Journal of Engineering and Technology algorithms. The proposed methods are expected to customer service. Li R. C. and Tee M. L. [3, pp 1092- benefit software developers, analysts, marketers, and 1096] analyze the impact of AI algorithms on increasing managers engaged in digital transformation. the efficiency of customer engagement. In e-commerce, chatbots contribute to the creation of personalized customer service. Thatavarthi N. [6, pp. 1-5] studies the Keywords: chatbots, CRM systems, integration, use of Angular and Node.js technologies to accelerate natural language processing, REST API, machine order processing. According to Santosh K. et al. [9, pp. learning, scalability, digital transformation, data 1135-1140], the application of GPT-4 in e-commerce security, personalization. chatbots increases the accuracy of query processing up to 95%, improving user interaction. Introduction: Modern business digital transformation Chatbots also play a significant role in marketing processes demand improved customer service quality, strategies. Khoa B. T. [7, pp. 19-32] highlights their role faster query processing, and enhanced personalization in optimizing communications that influence buyer of interactions. Amidst increasing globalization and decision-making in online commerce. Mashkouk R. et al. intensifying competition, companies face the need to [12, pp. 1-5] examine the automation of processes and optimize these aspects. Chatbots serve as an effective the integration of chatbots into production chains, solution for automating customer communication. which increases operational efficiency. These systems utilize algorithms that minimize time In education, chatbots are becoming essential tools for spent on task resolution and analyze user behavior to supporting students by improving access to educational generate personalized recommendations. materials and enhancing interaction with learning The integration of chatbots is becoming increasingly platforms. Snekha S. and Ayyanathan N. [5, pp. 58-62] relevant due to the growing volume of data requiring note that chatbots help students navigate academic rapid processing across multiple interaction channels. processes, access information about schedules, exams, Organizations operating in e-commerce, financial and consultations. Mohamed I. S., Abdelsalam M., and technology, and education are actively adopting such Moawad I. F. [11, pp. 351-355] demonstrate how systems to provide support, handle queries, and offer ChatGPT enables natural communication and provides recommendations. Implementing these solutions into recommendations to enhance the educational process. existing customer service management structures and In the financial sector, chatbots automate loan digital platforms demands significant preparation and application p