Tendering is already a big and growing business affecting most industries and countries around the world. However, winning new public tenders is not a “free meal”. With more and more tenders using a combination of price and qualitative criteria and tenders being published on quite short notice, this is also a complex, rapidly changing, and highly demanding market.
In this new white paper from Cube RM, published in the European Pricing Platform Thought Leadership Series, we describe the key challenges and seven steps for success in Tender management based on real-life evidence from the market.
Using NLP to
The Tender Market Opportunities
Pricing and Competitive Intelligence
Pricing Guidance using Machine Learning
Teamwork in Tendering
Helping enterprises to efficiently manage all stages of the tendering process with sophisticated workflows and audit capabilities. Access to historical and upcoming tender information from online or other sources. Manage tender criteria & scorecards. Create, manage, and get approvals for new tender responses. Evaluate the possible outcome based on machine-learning models by analyzing tender criteria and competitive intelligence. Used by the tender office, sales, pricing, or other relevant functions.