Nowadays, it is no longer a problem to obtain information about calls for tenders. When searching for relevant invitations to tender, companies inform themselves via platforms or are supported by corresponding services that provide companies with suitable alerts. Once you have received an interesting invitation to tender, you can quickly download all the relevant documents from a platform or have them sent to you by e-mail.
But this is where the work really begins. The task is to sift through the extensive documentation and determine whether participation in the tendering process is sensible and promising, or to find out which of several simultaneous tenders should be prioritized. For this initial assessment, the company needs to find out a wide variety of information:
Step 1: Analysis of the procurement needs
In order to evaluate the service data and the project scope and to see whether the project is suitable and feasible for one's own company and whether sufficient capacities are available in the corresponding period, it is necessary to extract the information from the tender documents:
Step 2: Finding all deadlines reliably
To see if the tender is feasible in terms of time, the company needs to know all the dates and deadlines:
Step 3: Collect all legal contract bases
In order to assess the risk and effort involved in the contractual basis, aspects of procurement law and corresponding documents must be evaluated. These include, for example:
Fast initial analysis with Document Analyzer
To save time and reduce effort, you can now load all tender documents into IntraFind's Document Analyzer and start analyzing and evaluating them.
The advantages: The software very quickly provides a sound basis for deciding whether to participate in the tender. It analyzes the documents in seconds and provides a kind of "central table of contents" with a direct link to the relevant text passages in the documents to read up on details. The AI-based tool doesn't overlook anything, because it has already been extensively pre-trained. In addition, company-specific technical requirements can be further trained very quickly - simply by marking a few sample texts. In this way, the granularity of the analysis is permanently improved and experience already gained in tender processes is incorporated as expert knowledge.
Conclusion: Intelligent software products relieve employees of standard tasks in their daily work. They help people to filter out the information they need to complete their tasks from a flood of data in a time-saving and reliable manner. What this information means and what actions are derived from it requires human expertise.
