Automating a Customer Service with Chatbots and Neural Networks

by Sophia TurolNovember 24, 2016
Learn how natural language processing can help in automating e-commerce and customer services, as well as how to train a network with TensorFlow and TFLearn.


How artificial intelligence and chatbots can drive the future? What are the hidden errors when training a neural network and how to cope with them? The answers to these questions were provided at the recent TensorFlow meetup in Munich.


The time for chatbots is now

Xaver Lehmann of e-bot7 contemplated why artificial intelligence and chatbots in particular may be driving the future. In his session, he talked about market trends and according to Xaver, messaging is a top one now. Exploring the world of chatbots, Xaver explained how they work and how businesses and regular customers can benefit. He exemplified two types of chatbots developed using:

After demonstrating a sample technical model of a chatbot, he overviewed the e-bot7 platform developed by the company he works for. The solution aims at enabling businesses to build, integrate, and manage chatbots that would automate commerce and customer services via Facebook Messenger, WhatsApp, Telegram, Kik, and Web Messaging.

Watch the video below for more details.



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Further reading


About the experts

Xaver Lehmann is Managing Director and Co-founder of e-bot7. He majors in finance, holding a bachelor’s degree from the Catholic University of Eichstätt-Ingolstadt and a master’s degree from the Maastricht University School of Business and Economics. Xaver currently works on improving the efficiency of customer service by integrating artificial intelligence throughout various channels.