Tender Summarisation
Expedite Tender Qualification with AI
Speed tender qualification time to assess relevance
Bidders race to submit the most competitive offers to win tenders. Tender documents are lengthy and complex, with delays risking pre-qualification. The process involves intricate documentation, reviews, and decision-making on a strict timeline. Proper timing ensures each stage, from initial notice to final contract award, runs smoothly.
Break down complexity
Gaining a deep understanding of a tender is crucial. Each tender is unique, and every buyer has distinct requirements.
With tender summarisation you get a quick overview of any deviations or suggestions from the standard requirements, allowing for more clarity and informed decision-making.
Uncover hidden assessment criteria
Each tender's unique requirements define the qualities a buyer seeks from suppliers. These can range from technical skills like software proficiency or industry expertise to soft skills like communication, teamwork, and problem-solving. By recognizing and addressing these needs, suppliers can better align their proposals to increase their competitive advantage.
How it works
Using Natural Language Processing (NLP), the module processes the tender documents to generate a concise summary focusing on the key aspects identified.
A predefined framework is applied to identify and extract key aspects of the tenders. This framework includes criteria such as:
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Project Scope: Description of the project or service required.
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Budget: Estimated cost or financial constraints.
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Timeline: Deadlines for submission and project completion.
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Eligibility Requirements: Qualifications and criteria suppliers must meet.
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Submission Guidelines: Instructions on how to submit bids.