We bring practical applications of Deep Learning and AI to customer service and help companies achieve greater customer service efficiency. The system analyses inbound messages, sends them to the right department, and provides agents with accurate response suggestions. This reduces average handling time up to 80% and automates more and more responses and processes. The e-bot7 system is based on complex NLP algorithms (Convolutional Neural Networks, LSTMs) trained on historical customer service scripts. The NLP is constantly optimised during operation so that more and more requests can be processed more efficiently.
Fabian Beringer, Xaver Lehmann, Maximilian Gerer
At ExecInsurtech we are looking for
As a last year’s winner of the Execinsurtech Award we are very happy to be part of this great platform for innovation in insurance again. Furthermore, we already work together with a large number of insurers and enable them to automate complex processes such as claims, driver circle complaints, etc. through contextual dialogue. Today, customer service in the insurance industry is unscalable, unautomated and costly for companies. Support agents have to answer the same questions and processes every day. This is not only bad for companies but also bad for their clients since they often have to wait minutes or even hours in a hotline or have to wait days for an email reply. For this reason, Customer Service is one of the first departments to be outsourced. We believe this presents a missed opportunity as it is a direct link to the customers and their concerns. Join our discussion table or visit our booth if you like to know how you can increase efficiency in your customer service and improve your customer experience with artificial intelligence.
Our Plans for 2020
We just raised a Series A round of 5,5m € from renowned investors for our international expansion in Europe and US. We want to become the leader in artificial intelligence for customer service. In addition, we want to develop further languages with internationalisation. In the future, companies will have to focus more on expanding customer service in order to get in direct contact with the customer. This trend is supported by new AI technologies such as the e-bot7 solution. At present, it is technologically possible to automate up to 80% of text queries. In our opinion, full automation will take 100% longer. This would require an enormous amount of data, processing power and new technologies. Once this is possible, e-bot7 will be the first provider of this AI technology.
What makes YOUR COMPANY special?
Apart from our state of the art NLP algorithms, one of our USPs is our Agent+AI® model that enables our AI to learn through every incoming customer request and response during the operational business which leads to a constantly evolving database. This makes manual tagging of data and labelling of intents and entities obsolete.Through our proprietary Contextual Dialog Editor® companies can easily automate complex customer service processes without having to write one line of code. Our technology comes pre-trained and is ready to use as a plug and play solution without needing any technical resources on the client’s side.