Cognitive Computing in Customer Service Automation
The application of cognitive computing is revolutionizing the automation of customer service by utilizing cutting-edge artificial intelligence technology to improve interactions with customers. An investigation into the incorporation of cognitive computing into customer service platforms is presented in this research study. The paper focuses on the impact that this integration has on efficiency, personalization, and overall service quality. The study investigates how cognitive tools, like as natural language processing, machine learning, and sentiment analysis, automate mundane processes, deliver intelligent responses, and adapt to the specific requirements of individual customers. This is accomplished through a comprehensive investigation of existing technologies. Cognitive computing is beneficial in lowering operational costs, improving response times, and boosting customer happiness, as demonstrated by case studies and empirical data. The findings highlight the potential for cognitive computing to improve customer service by providing more dynamic and intuitive solutions compared to the standard automation methods currently in use. Towards the end of the study, recommendations are provided for the implementation of cognitive computing methods in customer service. These recommendations emphasize the necessity of ongoing innovation and adaptability to the ever-changing demands of customers.
Authors
- R Sawant
- Ahmed Read Al-Tameemi
- Hawraa Ali Sabah
- Nagalakshmi M.V.N
- Y.V.N. Sai Sri Charan
- Ahmed KatebJumaah Al-Nussairi
Institutions
- Verizon (United States) (US)
- SRM Institute of Science and Technology (IN)
- Al-Nisour University College (IQ)
- Institute of Science and Technology
Publication Details
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1109/icses63760.2024.10910809
- Primary Topic
- Cognitive Computing and Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00