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Revolution in Aschaffenburg: Start-up discovers problems before the companies!
The Aschaffenburg start-up Sumtix is revolutionizing the analysis of online comments with AI and improving customer intelligence.
Revolution in Aschaffenburg: Start-up discovers problems before the companies!
The Aschaffenburg start-up Sumtix has made a name for itself by helping companies maintain their reputation through intelligent analysis of online comments. With its innovative software, developed by Erik Kaiser and his team, companies such as BMW, Melitta and Pirelli can evaluate large amounts of data quickly and effectively. This software compares reviews from customers on platforms like Amazon, Facebook and YouTube and filters out irrelevant information to gain important insights into customer satisfaction. For example, Sumtix was able to identify problems with a toothbrush model early on, long before the manufacturer knew about them, thereby avoiding potential financial and reputational damage.
Technology for the future
This precise analysis enables companies to react proactively to customer feedback and thus prevent a shitstorm. The Sumtix team is not only based in Aschaffenburg, but is also expanding internationally, including to London. Reimagining customer feedback analytics could be particularly revolutionary for the automotive and consumer goods industries, where quick action is crucial. In fact, one example shows that Sumtix's software quickly captured feedback on a product like the Bayer contraceptive coil, leading the company to respond early and independently. This led to billions of dollars in damage being avoided Hessian.ai reported.
Innovative approaches to using artificial intelligence are at the heart of the company. The software not only analyzes comments but also identifies the root causes of positive or negative feedback, giving companies valuable information in real time. According to Kaiser, this technological development could not completely replace the role of humanity in the decision-making process, but it could increase its efficiency and importance many times over. The use of automated data analysis not only saves time, but also improves the quality of decisions.