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Addis Ababa University College of Natural SciencesChatbot based customer service model using Deep Learning: the case of Ethiopian AirlinesNatnael Permanent AgumasieA Thesis Submitted to the Department
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01
Choose a chatbot platform that fits your needs and budget.
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Design conversational flow and create dialogues to handle common customer queries.
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Integrate the chatbot with your customer service channels such as website, social media, and messaging apps.
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Test the chatbot thoroughly to ensure accuracy and effectiveness.
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Provide training for your customer service team to handle more complex queries that the chatbot cannot answer.
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Monitor chatbot performance and gather feedback for continuous improvement.

Who needs chatbot based customer service?

01
Businesses looking to provide 24/7 customer support without increasing manpower.
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Companies aiming to streamline customer service processes and reduce response time.
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E-commerce websites seeking to enhance user experience and increase sales conversion rates.
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Organizations wanting to personalize customer interactions and offer tailored recommendations.
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Chatbot based customer service is a customer support system that uses automated chatbots to interact with customers and provide assistance.
Companies or organizations that use chatbot based customer service to interact with their customers are required to file.
Chatbot based customer service can be filled out by providing relevant information about the chatbot system, its functionalities, and the customer interactions.
The purpose of chatbot based customer service is to provide quick and efficient support to customers, improve response times, and reduce the workload on human customer service agents.
The information that must be reported on chatbot based customer service includes the number of customer interactions, response times, issues resolved, and customer satisfaction rates.
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