Machine learning / AI driven service desk to optimize Railway service operations: LexaTexer offers predictive analytics that help corporations organise decision-making by analysing documents with machine learning technology. LexaTexer is a platform which allows you to build data-driven applications quickly and efficiently. LexaTexer supports use cases like process-automation in industries such as railways and logistics.
Help desks are the first point of contact for users running into issues with any IT or business system. Unfortunately, help desks are oftentimes overwhelmed by the amount of user requests and the increasing complexity of the system landscape. This leads to a delay in response times and ultimately to a roadblock for the user. Together with LexaTexer – a next generation software for predictive analytics – we address these challenges with our Intelligent Self Service, an automated support platform. This technology helps identifying a problem‘s origin and provides information about incidents that occur on a regular basis. Based on these insights, we are able to prevent such incidents in advance.
Benefits
- Client-centric support platform
- Holistic data analysis through text analytics, sensor readings and machine learning
- Actionable knowledge rather than uninterpreted information
- Improving service quality and accuracy
Railway, Logistics, Automotive
An estimated 90% of information in a corporation is hidden in unstructured data (such as text memos, documents, emails and maintenance records). This information is tyically analysed by human specialists, if at all. This is costly, it doesn’t scale and it limits your potential to use unstructured data for knowledge generation. As a result, this data is largely ignored in current analysis processes.
LexaTexer understands unstructured sources, turns that information into actionable knowledge and yields access to vast amounts of hidden knowledge. Today, manual maintenance messages are entered into legacy IT systems, typically without quality control or evaluation. In the future, track workers and engineers who enter maintenance records will be supported by an intelligent assistant to improve the quality of the data and to categorise their inputs. In addition to this, LexaTexer will support the prediction of failures and other events. This will therefore reduce unexpected downtime and increase availability.
Is radically changing the way car repair shops work and will position themselves in the competition. Eventually, their entire business model might be disrupted. By using artificial intelligence, we are making car maintenance and repair more efficient, sustainably improving customer service in car repair shops. We are putting data to work. Based on data from >3 million of visits to car repair shops, we accurately predict spare part usage, mechanical activities and repair pricing for incoming vehicles.
Easy to use, precise and secure. LexaTexer is optimized for Legal, Health, Compliance, Customer Interaction and Predictive Maintenance use cases. Data collection and processing is as easy as copying files into a virtual data room. Security is guaranteed by our award winning DocRAID® secure data rooms.
Anticipate equipment failures and schedule corrective maintenance in advance, thereby preventing unexpected downtime and improve service quality. Use maintenance records and other unstructured notes to improve the quality of your predictive maintenance models.
Unlike general analytics platforms we focus on providing industry specific solutions with specialised knowledge. We provide actionable knowledge rather than uninterpreted information. We provide access to both unstructured and structured data, such as sensor readings. We have built industry-specific knowledge into our products for predictive maintenance and logistics. Our system is built to be aware of over 600 types of classifications for maintenance records from the get-go.
LexaTexer's predictive analytics supports corporations to direct decision making, by integrating and analyzing unstructured and numerical data
LexaTexer offers predictive analytics, to help corporations direct decision making, by integrating and analysing unstructured as well as structured information with machine learning technology.
LexaTexer develops cloud-based analytics solutions using natural language processing (NLP) and machine learning based on its light weight proprietary LXTXR platform. The LXTXR platform recognizes and processes out-of-the-box more than one million relevant objects from unstructured data supporting fast solution delivery. LexaTexer supports use cases like smart factories, predictive maintenance, digitization and analytics in verticals such as production, logistics, utilities and automotive.