Thomas Epalle, co-founder and CEO of Magic Lemp, presents their solution for automating customer inquiries in the retail sector. The tool analyzes incoming emails, identifies the type of inquiry, and retrieves relevant information from databases to generate tailored responses.
In this video, discover how Magic Lemp combines a business decision tree with a fine-tuned open-source language model to automatically answer simple questions while leaving complex cases to human agents. The solution ensures data privacy and full control over the information shared, with an accuracy rate exceeding 96%, enabling customer service teams to better manage the growing volume of requests.
Thomas Epalle, co-founder and CEO of Magic Lemp, presents their solution for automating customer inquiries in the retail sector. The tool analyzes incoming emails, identifies the type of inquiry, and retrieves relevant information from databases to generate tailored responses.