Hundreds of external letters arrive at the post office of a medium-sized city every day. Most of the enquiries demand a prompt response to their request.
The mailings have to be sifted through and assigned to the right department. This takes time and the mountain of letters continues to grow every day. It is not uncommon for it to take several days before the submissions land on the right desk of the umpteen organisational units and can finally be processed.
semantha® can help to create a time saving of sometimes two working hours per day – and that for each organisational unit.
Automating incoming mail
Your company regularly receives large volumes of objections relating to infrastructure projects. The letters of objection contain statements such as environmental aspects, health concerns, reduction in the value of real estate, quality of life, etc. Each objection must be reviewed for content and subject matter to be answered appropriately.
In our library, you can define the content for which new objections are to be examined. semantha® recognises topics and statements based on their meaning, regardless of the choice of words and without any “training” with your data. In this way, all comments of an objection are found quickly and efficiently and can be answered in a targeted manner.
In your company masses of correspondences have to be processed and allocated every day. Each mail must be analysed at great expense before the next step can be taken. It is quite possible to assign certain categories, but the problem is that similar facts are formulated very differently, which apparently makes it impossible to automate this process.
In your company, tenders have to be checked and evaluated regularly and with a high manual effort. In most cases, the content to be reviewed is similar. The problem is that every tender is worded and structured differently, which makes automation impossible.
In our library, you can define content for which new incoming tenders should be analysed against. semantha® finds defined MustHave’s and NoGo’s based on the meaning, regardless of the choice of words and without any “training” with your data. Thus, relevant contents of a tender are found quickly and efficiently.
In your company, documents have to be reviewed regularly and with a high manual effort. In most cases, the content to be reviewed is similar. The problem is that every document is worded and structured differently, which makes automation impossible.
In our library, you can define content for which new incoming documents are to be analysed against. semantha® finds the passages based on their meaning, regardless of the choice of words and without any “training” with your data. Thus, relevant contents of a document are found quickly and efficiently.
Harmonization of company-wide regulations, such as company agreements, work instructions & SOP’s across different locations
With semantha® we have developed an AI tool that overcomes the weaknesses of conventional matching tools. The application does not compare whether certain terms occur in documents, but reads the documents at the level of meaning. And it does so within a few moments.
Your company has large masses of unstructured text documents. One of the daily challenges is to search these documents for specific content, whereby normal search functions only offer a simple “keyword search” that does not lead to the desired results. This is particularly due to the fact that, on the one hand, it is not known exactly how a topic was formulated and, on the other hand, the same topics are also formulated quite differently in the various documents.
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R+V has been the insurance expert in the Volksbanken Raiffeisenbank cooperative financial group since 1992.
Die Mercedes-Benz Group AG ist ein börsennotierter deutscher Hersteller von Personenkraftwagen und Nutzfahrzeugen, der auch Mobilitäts- und Finanzdienstleistungen anbietet.
Behr-Hella Thermocontrol GmbH is a company founded in 1999 for the development and manufacture of air conditioning control units for automobiles and other vehicles.
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