AI-based Customer Support Chatbot

Online Retail Company

Project overview

The client is a rapidly growing online retail company looking to improve their customer support experience. As their customer base expanded, the client faced increasing challenges in providing timely and efficient support through traditional channels, such as phone and email.

Project process

The client needed a solution that could streamline their customer support process, handle a large volume of inquiries, and reduce response times while maintaining a high level of customer satisfaction. They sought an AI-based chatbot that could be integrated into their website and provide instant support to customers, freeing up resources for their customer support team.


Our team of AI and natural language processing (NLP) experts developed a chatbot solution that leveraged machine learning algorithms to understand and respond to customer inquiries effectively. We used advanced NLP techniques to enable the chatbot to understand and process natural language, allowing it to interact with customers in a conversational manner. The chatbot was integrated with the client's existing customer support systems, enabling seamless escalation to human support agents when necessary.

Python, TensorFlow, Keras, NLTK, RESTful APIs
6 people


The AI-based customer support chatbot significantly improved the client's customer support process. Response times were reduced by 70%, and customer satisfaction rates increased by 15%. The chatbot effectively handled a large volume of inquiries, allowing the client's customer support team to focus on more complex issues and provide better support to customers.

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