With thousands of employees across the country, they were looking for an AI based conversational chatbot that could you help provide a self-service support mechanism for end users while also giving back time to the support team for more value added interactions.
Through this case study you will learn about how our team helped the customer to design and implement numerous chatbots for the support teams, how we implemented real-time conversational analytics and reporting to measure the chatbots success and how we implemented a live-agent chat interface for humanin-the-loop scenarios.
Our customer is one of the largest home improvement retailers in the United States with over 2000 stores and 400,000 employees across the country. They have operations spanning across the globe.
As a value-add partner, Miracle had been supporting the customer in their infrastructure support team for cloud application development with a focus on asset maintenance and end user support.
Our customer wanted to,
Miracle deployed a lean Chatbot team that assisted the customer with,
The following were a few of the chatbots that were built for the customer,
Through the implementation of Conversational Chatbots, the customer achieved some of the following benefits,
The products and technologies used in this effort by our team and the customer were,
Understand how our support services helped the customer by working closely with their team, processes, and data to gain both functional and business knowledge.
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