RFQ and Tender Management - Powered by AI
2.6 هزار بار بازدید -
2 سال پیش
-
Speaker: Thorsten Stahlberg - Siemens
Speaker: Thorsten Stahlberg - Siemens + Bernt Andrassy - Drim
For companies responding to RFQs/tenders the quotation process is complex and introduces a high level of risk. This is mainly due to the large amount of requirements which must be assessed from the RFQ/tender documents. In relation to this, one can easily observe a typical set of challenges
• Not properly identified and managed risks reduce the margins and weaken competitiveness.
• Poorly tracked customer requirements tend to cause high non-conformance costs.
• Expert availability: it is difficult to find suitable professionals to properly analyse and respond to tenders.
• It is a challenge to focus on the RFQs/tenders with the highest likelihoods of resulting in profitable projects.
We provide a smart RFQ/Tender Management solution consisting of DRIM in combination with Polarion for the end-to-end bid and tender management from the initial customer request down to the engineering process. It introduces deep-tech AI technologies to reduce complexity and risk and to enable an efficient quotation process.
For companies responding to RFQs/tenders the quotation process is complex and introduces a high level of risk. This is mainly due to the large amount of requirements which must be assessed from the RFQ/tender documents. In relation to this, one can easily observe a typical set of challenges
• Not properly identified and managed risks reduce the margins and weaken competitiveness.
• Poorly tracked customer requirements tend to cause high non-conformance costs.
• Expert availability: it is difficult to find suitable professionals to properly analyse and respond to tenders.
• It is a challenge to focus on the RFQs/tenders with the highest likelihoods of resulting in profitable projects.
We provide a smart RFQ/Tender Management solution consisting of DRIM in combination with Polarion for the end-to-end bid and tender management from the initial customer request down to the engineering process. It introduces deep-tech AI technologies to reduce complexity and risk and to enable an efficient quotation process.
2 سال پیش
در تاریخ 1401/11/06 منتشر شده
است.
2,606
بـار بازدید شده