Speed up and improve your bidding process

In the automotive industry, text-driven processes are an integral part of everyday work. Especially the manual review of numerous requirements in specifications requires expertise and costs companies a lot of time and money. But the artificial intelligence semantha^® provides a remedy.

As soon as automotive suppliers receive a new product specification from their customers, the clock starts ticking. Because: If you want to be one step ahead of the competition, you have to be the first to react. But first, a multitude of requirements must be read, checked, and evaluated. Only then can an offer be made on this basis. This involves a lot of repetitive work that until now has had to be done manually and is also prone to errors – even though most of the requirements are similar in content. 

The fact that product cycles are getting shorter and lists of requirements longer are by no means the only challenges. After all, the expertise needed for evaluation is often in the heads of experts, who are becoming fewer and fewer for demographic reasons. Nevertheless, it is important to ensure consistent high quality and minimize potential risks during the assessment and preparation of offers. 

A similarly high level of manual effort is also required when reviewing framework agreements and new regulations – even though many clauses are known and have already been accepted. One thing is certain: Time pressure, complexity, and lack of capacity require a change in working methods and processes. 

Where work revolves around large amounts of text, semantha^® unfolds its potential. The software reads and understands text – regardless of the choice of words. What takes an employee several hours to do, semantha^® can do in just a few seconds thanks to artificial intelligence – and without intensive training. This results in many possibilities to support processes in the automotive sector. 

semantha^® uses already assessed requirements as a valuable knowledge base. If a new requirements specification is to be reviewed, the system compares the new requirements and classifies them automatically. This makes it easier for department-specific experts to provide input by, among other things, assigning object types, categories, or internal references at the requirements level. In addition, the software supports the identification of high risk topics and also takes into account internal and external standards, such as norms, applicable documents, and industry standards.

New framework agreements can be conveniently examined for certain content, such as clauses, or compared with contracts that have already been evaluated. Furthermore, relevant data can be easily extracted. This way, follow-up processes can be triggered directly. 

While semantha^® helps to efficiently compare and evaluate data and minimize risks, the amount of manual work is reduced many times over. The focus can thus be placed on the important tasks and quality can be ensured. On average, automotive suppliers save 40 % of their time when analyzing requirements or checking framework agreements – and thus also corresponding costs. Thanks to the process acceleration, the probability of being the first to come back to your customers with feedback also increases.

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Authors: Nadja Russig, Moritz Maier
Picture: AdobeStock / sompong_tom