As ChatGPT is still all the rage and has been downloaded one million times in the first couple of days after its release, anticipation runs high for GPT-4, the long awaited successor of GPT-3. GPT-4 is going to be a further development of GPT-3 and the still new ChatGPT, bringing with it a range of […]
The Case
Daimler is one of the leading automobile manufacturers in the world. They produce thousands of cars, vans, trucks, and buses every year. This is done with the help of assembly lines. If an error occurs, and production is on hold, Daimler needs to react quickly - to save costs and to keep their tight schedule.
The Challenge
A quick overview of production errors as well as high quality and precise error reports are essential to guarantee a smooth production process. Therefore, it is fundamental that these reports are generated as quickly as soon as the error occurs. So Daimler needed to find a way to speed up the generation process of the error reportings.
The Solution
The Daimler team knew they had to find a way to automate the entire process of the generation of error reports. That's why Daimler has automated their error reportings with the AX Semantics software. They also designed a chat bot, based on certain parameters, which gives a quick error reporting, if needed.
Daimler's chat bot gives a reporting of production errors.
The Results
The software also helped with the reduction of the complexity of their very extensive data set. Therefore, it is easier to find the most actionable pattern.In addition, the chat bot helps engineers to locate errors and gives them a quick overview. The Daimler team can also ask the bot for details on specific issues.
